Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines
This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is re...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lasheen, Ahmed [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Schlagwörter: |
Explicit continuous model predictive control |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion - Solanki, Nayan ELSEVIER, 2017, the international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:118 ; year:2017 ; day:1 ; month:01 ; pages:1222-1233 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.energy.2016.11.002 |
|---|
| Katalog-ID: |
ELV015098362 |
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| 245 | 1 | 0 | |a Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines |
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| 520 | |a This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. | ||
| 520 | |a This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. | ||
| 650 | 7 | |a Time varying systems |2 Elsevier | |
| 650 | 7 | |a Explicit continuous model predictive control |2 Elsevier | |
| 650 | 7 | |a Tube-based continuous model predictive control |2 Elsevier | |
| 650 | 7 | |a Collective pitch control |2 Elsevier | |
| 650 | 7 | |a Predictive control |2 Elsevier | |
| 700 | 1 | |a Saad, Mohamed S. |4 oth | |
| 700 | 1 | |a Emara, Hassan M. |4 oth | |
| 700 | 1 | |a Elshafei, Abdel Latif |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Solanki, Nayan ELSEVIER |t Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion |d 2017 |d the international journal |g Amsterdam [u.a.] |w (DE-627)ELV000529575 |
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10.1016/j.energy.2016.11.002 doi GBV00000000000059A.pica (DE-627)ELV015098362 (ELSEVIER)S0360-5442(16)31591-2 DE-627 ger DE-627 rakwb eng 600 600 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Lasheen, Ahmed verfasserin aut Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines 2017transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. Time varying systems Elsevier Explicit continuous model predictive control Elsevier Tube-based continuous model predictive control Elsevier Collective pitch control Elsevier Predictive control Elsevier Saad, Mohamed S. oth Emara, Hassan M. oth Elshafei, Abdel Latif oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:118 year:2017 day:1 month:01 pages:1222-1233 extent:12 https://doi.org/10.1016/j.energy.2016.11.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 118 2017 1 0101 1222-1233 12 045F 600 |
| spelling |
10.1016/j.energy.2016.11.002 doi GBV00000000000059A.pica (DE-627)ELV015098362 (ELSEVIER)S0360-5442(16)31591-2 DE-627 ger DE-627 rakwb eng 600 600 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Lasheen, Ahmed verfasserin aut Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines 2017transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. Time varying systems Elsevier Explicit continuous model predictive control Elsevier Tube-based continuous model predictive control Elsevier Collective pitch control Elsevier Predictive control Elsevier Saad, Mohamed S. oth Emara, Hassan M. oth Elshafei, Abdel Latif oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:118 year:2017 day:1 month:01 pages:1222-1233 extent:12 https://doi.org/10.1016/j.energy.2016.11.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 118 2017 1 0101 1222-1233 12 045F 600 |
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10.1016/j.energy.2016.11.002 doi GBV00000000000059A.pica (DE-627)ELV015098362 (ELSEVIER)S0360-5442(16)31591-2 DE-627 ger DE-627 rakwb eng 600 600 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Lasheen, Ahmed verfasserin aut Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines 2017transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. Time varying systems Elsevier Explicit continuous model predictive control Elsevier Tube-based continuous model predictive control Elsevier Collective pitch control Elsevier Predictive control Elsevier Saad, Mohamed S. oth Emara, Hassan M. oth Elshafei, Abdel Latif oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:118 year:2017 day:1 month:01 pages:1222-1233 extent:12 https://doi.org/10.1016/j.energy.2016.11.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 118 2017 1 0101 1222-1233 12 045F 600 |
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10.1016/j.energy.2016.11.002 doi GBV00000000000059A.pica (DE-627)ELV015098362 (ELSEVIER)S0360-5442(16)31591-2 DE-627 ger DE-627 rakwb eng 600 600 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Lasheen, Ahmed verfasserin aut Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines 2017transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. Time varying systems Elsevier Explicit continuous model predictive control Elsevier Tube-based continuous model predictive control Elsevier Collective pitch control Elsevier Predictive control Elsevier Saad, Mohamed S. oth Emara, Hassan M. oth Elshafei, Abdel Latif oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:118 year:2017 day:1 month:01 pages:1222-1233 extent:12 https://doi.org/10.1016/j.energy.2016.11.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 118 2017 1 0101 1222-1233 12 045F 600 |
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10.1016/j.energy.2016.11.002 doi GBV00000000000059A.pica (DE-627)ELV015098362 (ELSEVIER)S0360-5442(16)31591-2 DE-627 ger DE-627 rakwb eng 600 600 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Lasheen, Ahmed verfasserin aut Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines 2017transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. Time varying systems Elsevier Explicit continuous model predictive control Elsevier Tube-based continuous model predictive control Elsevier Collective pitch control Elsevier Predictive control Elsevier Saad, Mohamed S. oth Emara, Hassan M. oth Elshafei, Abdel Latif oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:118 year:2017 day:1 month:01 pages:1222-1233 extent:12 https://doi.org/10.1016/j.energy.2016.11.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 118 2017 1 0101 1222-1233 12 045F 600 |
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English |
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Enthalten in Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion Amsterdam [u.a.] volume:118 year:2017 day:1 month:01 pages:1222-1233 extent:12 |
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Enthalten in Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion Amsterdam [u.a.] volume:118 year:2017 day:1 month:01 pages:1222-1233 extent:12 |
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Time varying systems Explicit continuous model predictive control Tube-based continuous model predictive control Collective pitch control Predictive control |
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Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion |
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Lasheen, Ahmed @@aut@@ Saad, Mohamed S. @@oth@@ Emara, Hassan M. @@oth@@ Elshafei, Abdel Latif @@oth@@ |
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continuous-time tube-based explicit model predictive control for collective pitching of wind turbines |
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Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines |
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This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. |
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This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. |
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This paper introduces an extension to continuous time model predictive control to take care of time varying systems by adopting a tube-based approach. The proposed controller can be formulated as a multi-parametric quadratic program that can be solved offline. Therefore, the computational time is reduced. The proposed controller is used to control the pitch angles of large wind turbines in order to regulate the generator speed and power while operating above the turbines rated wind speeds. The proposed controller has two merits. First, it has a fast execution time due to its explicit nature. Second, it is robust against the uncertainties due to the system nonlinearities (as it adopts a tube-based approach). The performance of the proposed controller is compared to a gain-scheduled PI controller which is commonly adopted in industry. Simulation results, based on a benchmark of a typical 5-MW offshore wind turbine, demonstrate the superiority of the proposed predictive controller. |
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