Fuzzy‐dependent switched fault‐tolerant tracking control for permanent magnet synchronous generator‐based wind energy conversion system
Summary This article investigates the switched fault‐tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)‐based variable‐speed wind energy conversion system (WECS) subject to actuator faults. To do this, a Takagi‐Sugeno fuzzy model is exploited to delineate the no...
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| Published in | International journal of adaptive control and signal processing Vol. 37; no. 2; pp. 399 - 413 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Bognor Regis
Wiley Subscription Services, Inc
01.02.2023
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| Online Access | Get full text |
| ISSN | 0890-6327 1099-1115 |
| DOI | 10.1002/acs.3530 |
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| Abstract | Summary
This article investigates the switched fault‐tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)‐based variable‐speed wind energy conversion system (WECS) subject to actuator faults. To do this, a Takagi‐Sugeno fuzzy model is exploited to delineate the nonlinear WECS composed of a PMSG and wind turbine. By using the switching technique and Lyapunov functional including membership function information, fault‐tolerant tracking control is proposed to effectively track the optimal trajectory of PMSG‐based WECS states with known and unknown actuator faults. Also, the stabilization conditions are derived in the form of linear matrix inequality to determine the control gains, which assures the maximum power output and enhance the system performance. Meanwhile, the H∞$$ {H}_{\infty } $$ performance index is presented with membership function, for attenuating the load torque disturbance of WECS. Finally, the superiority and benefit of presented method are validated by numerical simulations. |
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| AbstractList | Summary
This article investigates the switched fault‐tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)‐based variable‐speed wind energy conversion system (WECS) subject to actuator faults. To do this, a Takagi‐Sugeno fuzzy model is exploited to delineate the nonlinear WECS composed of a PMSG and wind turbine. By using the switching technique and Lyapunov functional including membership function information, fault‐tolerant tracking control is proposed to effectively track the optimal trajectory of PMSG‐based WECS states with known and unknown actuator faults. Also, the stabilization conditions are derived in the form of linear matrix inequality to determine the control gains, which assures the maximum power output and enhance the system performance. Meanwhile, the H∞$$ {H}_{\infty } $$ performance index is presented with membership function, for attenuating the load torque disturbance of WECS. Finally, the superiority and benefit of presented method are validated by numerical simulations. This article investigates the switched fault‐tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)‐based variable‐speed wind energy conversion system (WECS) subject to actuator faults. To do this, a Takagi‐Sugeno fuzzy model is exploited to delineate the nonlinear WECS composed of a PMSG and wind turbine. By using the switching technique and Lyapunov functional including membership function information, fault‐tolerant tracking control is proposed to effectively track the optimal trajectory of PMSG‐based WECS states with known and unknown actuator faults. Also, the stabilization conditions are derived in the form of linear matrix inequality to determine the control gains, which assures the maximum power output and enhance the system performance. Meanwhile, the H∞$$ {H}_{\infty } $$ performance index is presented with membership function, for attenuating the load torque disturbance of WECS. Finally, the superiority and benefit of presented method are validated by numerical simulations. This article investigates the switched fault‐tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)‐based variable‐speed wind energy conversion system (WECS) subject to actuator faults. To do this, a Takagi‐Sugeno fuzzy model is exploited to delineate the nonlinear WECS composed of a PMSG and wind turbine. By using the switching technique and Lyapunov functional including membership function information, fault‐tolerant tracking control is proposed to effectively track the optimal trajectory of PMSG‐based WECS states with known and unknown actuator faults. Also, the stabilization conditions are derived in the form of linear matrix inequality to determine the control gains, which assures the maximum power output and enhance the system performance. Meanwhile, the performance index is presented with membership function, for attenuating the load torque disturbance of WECS. Finally, the superiority and benefit of presented method are validated by numerical simulations. |
| Author | Joo, Young Hoon Kuppusamy, Subramanian |
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This article investigates the switched fault‐tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)‐based... This article investigates the switched fault‐tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)‐based variable‐speed wind... |
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| SubjectTerms | actuator faults Actuators Energy conversion fault‐tolerant control H-infinity control Linear matrix inequalities Mathematical analysis Mathematical models Maximum power Performance indices Permanent magnets PMSG stabilization Synchronous machines Tracking control Trajectory optimization wind energy conversion system Wind power Wind turbines |
| Title | Fuzzy‐dependent switched fault‐tolerant tracking control for permanent magnet synchronous generator‐based wind energy conversion system |
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