Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method
Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the chall...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shruthi, C. M. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© The Brazilian Society of Mechanical Sciences and Engineering 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of the Brazilian Society of Mechanical Sciences and Engineering - Berlin : Springer, 2003, 41(2019), 6 vom: 09. Mai |
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| Übergeordnetes Werk: |
volume:41 ; year:2019 ; number:6 ; day:09 ; month:05 |
| Links: |
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| DOI / URN: |
10.1007/s40430-019-1744-5 |
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| Katalog-ID: |
SPR03646659X |
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| 100 | 1 | |a Shruthi, C. M. |e verfasserin |0 (orcid)0000-0001-5041-0495 |4 aut | |
| 245 | 1 | 0 | |a Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method |
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| 520 | |a Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the challenging steps in the development of power transmission-line inspection robot is the design of a mechanism for crossing tension towers through the jumper cables and also avoiding obstacles in the transmission lines with minimum consumption of energy. Positioning of the robot in the transmission line and crossing the jumper cable are also difficult. This paper tries to find a feasible solution for these challenging issues. A novel design of the robot mechanism, positioning of dual arm for intelligent crossing and trajectory planning of arm based on minimum energy are presented. Optimum goal position for holding is determined using fuzzy logic. Ten degrees of freedom dual arm of the inspection robot is used for transferring a gripper hook to the goal position in the jumper cable through an optimum cubic trajectory for transferring whole robot from straight cable to jumper cable. Optimum energy trajectory is determined using primal dual interior-point method. This paper also presents the design of proportional–integral–derivative controller with genetic algorithm tuning for crossing from straight transmission line to jumper cable. Simulation study of robot motion through straight transmission line and jumper cable is also presented using ADAMS. | ||
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| 650 | 4 | |a Optimum crossing |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Primal–dual interior-point method |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Cubic trajectory |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Sudheer, A. P. |4 aut | |
| 700 | 1 | |a Joy, M. L. |4 aut | |
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10.1007/s40430-019-1744-5 doi (DE-627)SPR03646659X (SPR)s40430-019-1744-5-e DE-627 ger DE-627 rakwb eng Shruthi, C. M. verfasserin (orcid)0000-0001-5041-0495 aut Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Brazilian Society of Mechanical Sciences and Engineering 2019 Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the challenging steps in the development of power transmission-line inspection robot is the design of a mechanism for crossing tension towers through the jumper cables and also avoiding obstacles in the transmission lines with minimum consumption of energy. Positioning of the robot in the transmission line and crossing the jumper cable are also difficult. This paper tries to find a feasible solution for these challenging issues. A novel design of the robot mechanism, positioning of dual arm for intelligent crossing and trajectory planning of arm based on minimum energy are presented. Optimum goal position for holding is determined using fuzzy logic. Ten degrees of freedom dual arm of the inspection robot is used for transferring a gripper hook to the goal position in the jumper cable through an optimum cubic trajectory for transferring whole robot from straight cable to jumper cable. Optimum energy trajectory is determined using primal dual interior-point method. This paper also presents the design of proportional–integral–derivative controller with genetic algorithm tuning for crossing from straight transmission line to jumper cable. Simulation study of robot motion through straight transmission line and jumper cable is also presented using ADAMS. Dual-arm robot (dpeaa)DE-He213 Optimum crossing (dpeaa)DE-He213 Fuzzy logic (dpeaa)DE-He213 Primal–dual interior-point method (dpeaa)DE-He213 Cubic trajectory (dpeaa)DE-He213 Sudheer, A. P. aut Joy, M. L. aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Berlin : Springer, 2003 41(2019), 6 vom: 09. Mai (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:41 year:2019 number:6 day:09 month:05 https://dx.doi.org/10.1007/s40430-019-1744-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2019 6 09 05 |
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10.1007/s40430-019-1744-5 doi (DE-627)SPR03646659X (SPR)s40430-019-1744-5-e DE-627 ger DE-627 rakwb eng Shruthi, C. M. verfasserin (orcid)0000-0001-5041-0495 aut Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Brazilian Society of Mechanical Sciences and Engineering 2019 Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the challenging steps in the development of power transmission-line inspection robot is the design of a mechanism for crossing tension towers through the jumper cables and also avoiding obstacles in the transmission lines with minimum consumption of energy. Positioning of the robot in the transmission line and crossing the jumper cable are also difficult. This paper tries to find a feasible solution for these challenging issues. A novel design of the robot mechanism, positioning of dual arm for intelligent crossing and trajectory planning of arm based on minimum energy are presented. Optimum goal position for holding is determined using fuzzy logic. Ten degrees of freedom dual arm of the inspection robot is used for transferring a gripper hook to the goal position in the jumper cable through an optimum cubic trajectory for transferring whole robot from straight cable to jumper cable. Optimum energy trajectory is determined using primal dual interior-point method. This paper also presents the design of proportional–integral–derivative controller with genetic algorithm tuning for crossing from straight transmission line to jumper cable. Simulation study of robot motion through straight transmission line and jumper cable is also presented using ADAMS. Dual-arm robot (dpeaa)DE-He213 Optimum crossing (dpeaa)DE-He213 Fuzzy logic (dpeaa)DE-He213 Primal–dual interior-point method (dpeaa)DE-He213 Cubic trajectory (dpeaa)DE-He213 Sudheer, A. P. aut Joy, M. L. aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Berlin : Springer, 2003 41(2019), 6 vom: 09. Mai (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:41 year:2019 number:6 day:09 month:05 https://dx.doi.org/10.1007/s40430-019-1744-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2019 6 09 05 |
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10.1007/s40430-019-1744-5 doi (DE-627)SPR03646659X (SPR)s40430-019-1744-5-e DE-627 ger DE-627 rakwb eng Shruthi, C. M. verfasserin (orcid)0000-0001-5041-0495 aut Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Brazilian Society of Mechanical Sciences and Engineering 2019 Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the challenging steps in the development of power transmission-line inspection robot is the design of a mechanism for crossing tension towers through the jumper cables and also avoiding obstacles in the transmission lines with minimum consumption of energy. Positioning of the robot in the transmission line and crossing the jumper cable are also difficult. This paper tries to find a feasible solution for these challenging issues. A novel design of the robot mechanism, positioning of dual arm for intelligent crossing and trajectory planning of arm based on minimum energy are presented. Optimum goal position for holding is determined using fuzzy logic. Ten degrees of freedom dual arm of the inspection robot is used for transferring a gripper hook to the goal position in the jumper cable through an optimum cubic trajectory for transferring whole robot from straight cable to jumper cable. Optimum energy trajectory is determined using primal dual interior-point method. This paper also presents the design of proportional–integral–derivative controller with genetic algorithm tuning for crossing from straight transmission line to jumper cable. Simulation study of robot motion through straight transmission line and jumper cable is also presented using ADAMS. Dual-arm robot (dpeaa)DE-He213 Optimum crossing (dpeaa)DE-He213 Fuzzy logic (dpeaa)DE-He213 Primal–dual interior-point method (dpeaa)DE-He213 Cubic trajectory (dpeaa)DE-He213 Sudheer, A. P. aut Joy, M. L. aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Berlin : Springer, 2003 41(2019), 6 vom: 09. Mai (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:41 year:2019 number:6 day:09 month:05 https://dx.doi.org/10.1007/s40430-019-1744-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2019 6 09 05 |
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10.1007/s40430-019-1744-5 doi (DE-627)SPR03646659X (SPR)s40430-019-1744-5-e DE-627 ger DE-627 rakwb eng Shruthi, C. M. verfasserin (orcid)0000-0001-5041-0495 aut Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Brazilian Society of Mechanical Sciences and Engineering 2019 Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the challenging steps in the development of power transmission-line inspection robot is the design of a mechanism for crossing tension towers through the jumper cables and also avoiding obstacles in the transmission lines with minimum consumption of energy. Positioning of the robot in the transmission line and crossing the jumper cable are also difficult. This paper tries to find a feasible solution for these challenging issues. A novel design of the robot mechanism, positioning of dual arm for intelligent crossing and trajectory planning of arm based on minimum energy are presented. Optimum goal position for holding is determined using fuzzy logic. Ten degrees of freedom dual arm of the inspection robot is used for transferring a gripper hook to the goal position in the jumper cable through an optimum cubic trajectory for transferring whole robot from straight cable to jumper cable. Optimum energy trajectory is determined using primal dual interior-point method. This paper also presents the design of proportional–integral–derivative controller with genetic algorithm tuning for crossing from straight transmission line to jumper cable. Simulation study of robot motion through straight transmission line and jumper cable is also presented using ADAMS. Dual-arm robot (dpeaa)DE-He213 Optimum crossing (dpeaa)DE-He213 Fuzzy logic (dpeaa)DE-He213 Primal–dual interior-point method (dpeaa)DE-He213 Cubic trajectory (dpeaa)DE-He213 Sudheer, A. P. aut Joy, M. L. aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Berlin : Springer, 2003 41(2019), 6 vom: 09. Mai (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:41 year:2019 number:6 day:09 month:05 https://dx.doi.org/10.1007/s40430-019-1744-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2019 6 09 05 |
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10.1007/s40430-019-1744-5 doi (DE-627)SPR03646659X (SPR)s40430-019-1744-5-e DE-627 ger DE-627 rakwb eng Shruthi, C. M. verfasserin (orcid)0000-0001-5041-0495 aut Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Brazilian Society of Mechanical Sciences and Engineering 2019 Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the challenging steps in the development of power transmission-line inspection robot is the design of a mechanism for crossing tension towers through the jumper cables and also avoiding obstacles in the transmission lines with minimum consumption of energy. Positioning of the robot in the transmission line and crossing the jumper cable are also difficult. This paper tries to find a feasible solution for these challenging issues. A novel design of the robot mechanism, positioning of dual arm for intelligent crossing and trajectory planning of arm based on minimum energy are presented. Optimum goal position for holding is determined using fuzzy logic. Ten degrees of freedom dual arm of the inspection robot is used for transferring a gripper hook to the goal position in the jumper cable through an optimum cubic trajectory for transferring whole robot from straight cable to jumper cable. Optimum energy trajectory is determined using primal dual interior-point method. This paper also presents the design of proportional–integral–derivative controller with genetic algorithm tuning for crossing from straight transmission line to jumper cable. Simulation study of robot motion through straight transmission line and jumper cable is also presented using ADAMS. Dual-arm robot (dpeaa)DE-He213 Optimum crossing (dpeaa)DE-He213 Fuzzy logic (dpeaa)DE-He213 Primal–dual interior-point method (dpeaa)DE-He213 Cubic trajectory (dpeaa)DE-He213 Sudheer, A. P. aut Joy, M. L. aut Enthalten in Journal of the Brazilian Society of Mechanical Sciences and Engineering Berlin : Springer, 2003 41(2019), 6 vom: 09. Mai (DE-627)387477950 (DE-600)2145288-X 1806-3691 nnns volume:41 year:2019 number:6 day:09 month:05 https://dx.doi.org/10.1007/s40430-019-1744-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 41 2019 6 09 05 |
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Shruthi, C. M. |
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Shruthi, C. M. misc Dual-arm robot misc Optimum crossing misc Fuzzy logic misc Primal–dual interior-point method misc Cubic trajectory Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method |
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Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method Dual-arm robot (dpeaa)DE-He213 Optimum crossing (dpeaa)DE-He213 Fuzzy logic (dpeaa)DE-He213 Primal–dual interior-point method (dpeaa)DE-He213 Cubic trajectory (dpeaa)DE-He213 |
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misc Dual-arm robot misc Optimum crossing misc Fuzzy logic misc Primal–dual interior-point method misc Cubic trajectory |
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Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method |
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Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method |
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Shruthi, C. M. |
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Journal of the Brazilian Society of Mechanical Sciences and Engineering |
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Shruthi, C. M. Sudheer, A. P. Joy, M. L. |
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Shruthi, C. M. |
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optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and newton barrier method |
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Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method |
| abstract |
Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the challenging steps in the development of power transmission-line inspection robot is the design of a mechanism for crossing tension towers through the jumper cables and also avoiding obstacles in the transmission lines with minimum consumption of energy. Positioning of the robot in the transmission line and crossing the jumper cable are also difficult. This paper tries to find a feasible solution for these challenging issues. A novel design of the robot mechanism, positioning of dual arm for intelligent crossing and trajectory planning of arm based on minimum energy are presented. Optimum goal position for holding is determined using fuzzy logic. Ten degrees of freedom dual arm of the inspection robot is used for transferring a gripper hook to the goal position in the jumper cable through an optimum cubic trajectory for transferring whole robot from straight cable to jumper cable. Optimum energy trajectory is determined using primal dual interior-point method. This paper also presents the design of proportional–integral–derivative controller with genetic algorithm tuning for crossing from straight transmission line to jumper cable. Simulation study of robot motion through straight transmission line and jumper cable is also presented using ADAMS. © The Brazilian Society of Mechanical Sciences and Engineering 2019 |
| abstractGer |
Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the challenging steps in the development of power transmission-line inspection robot is the design of a mechanism for crossing tension towers through the jumper cables and also avoiding obstacles in the transmission lines with minimum consumption of energy. Positioning of the robot in the transmission line and crossing the jumper cable are also difficult. This paper tries to find a feasible solution for these challenging issues. A novel design of the robot mechanism, positioning of dual arm for intelligent crossing and trajectory planning of arm based on minimum energy are presented. Optimum goal position for holding is determined using fuzzy logic. Ten degrees of freedom dual arm of the inspection robot is used for transferring a gripper hook to the goal position in the jumper cable through an optimum cubic trajectory for transferring whole robot from straight cable to jumper cable. Optimum energy trajectory is determined using primal dual interior-point method. This paper also presents the design of proportional–integral–derivative controller with genetic algorithm tuning for crossing from straight transmission line to jumper cable. Simulation study of robot motion through straight transmission line and jumper cable is also presented using ADAMS. © The Brazilian Society of Mechanical Sciences and Engineering 2019 |
| abstract_unstemmed |
Abstract The methodology of manual high-voltage transmission-line inspection is a time-consuming process, and also it involves high risk. The safe and efficient methodology of autonomous robotic inspection is needed to avoid these kinds of problems involved in the manual inspection. One of the challenging steps in the development of power transmission-line inspection robot is the design of a mechanism for crossing tension towers through the jumper cables and also avoiding obstacles in the transmission lines with minimum consumption of energy. Positioning of the robot in the transmission line and crossing the jumper cable are also difficult. This paper tries to find a feasible solution for these challenging issues. A novel design of the robot mechanism, positioning of dual arm for intelligent crossing and trajectory planning of arm based on minimum energy are presented. Optimum goal position for holding is determined using fuzzy logic. Ten degrees of freedom dual arm of the inspection robot is used for transferring a gripper hook to the goal position in the jumper cable through an optimum cubic trajectory for transferring whole robot from straight cable to jumper cable. Optimum energy trajectory is determined using primal dual interior-point method. This paper also presents the design of proportional–integral–derivative controller with genetic algorithm tuning for crossing from straight transmission line to jumper cable. Simulation study of robot motion through straight transmission line and jumper cable is also presented using ADAMS. © The Brazilian Society of Mechanical Sciences and Engineering 2019 |
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Optimal crossing and control of mobile dual-arm robot through tension towers by using fuzzy and Newton barrier method |
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https://dx.doi.org/10.1007/s40430-019-1744-5 |
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Sudheer, A. P. Joy, M. L. |
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| doi_str |
10.1007/s40430-019-1744-5 |
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2024-07-03T17:47:36.368Z |
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| score |
7.401431 |