Robust MPPT Observer-Based Control System for Wind Energy Conversion System with Uncertainties and Disturbance
Vu V.-P. Ngo V.-T. Do V.-D. Truong D.-N. Huynh T.-T. Do T.D.
2021Institute of Electrical and Electronics Engineers Inc.
IEEE Access
2021#996466 - 96477 pp.
The problem of tracking the maximum power point for the wind energy conversion system (WECS) is taken into consideration in this paper. The WECS in this article is simultaneously affected by the uncertainties and the arbitrary disturbance that cause the WECSs to be much more challenging to control. A new method to synthesize a polynomial disturbance observer for estimating the aerodynamic torque, wind speed, and electromagnetic torque without using sensors is proposed in this paper. Unlike the previous methods, in this work, both the uncertainties and the disturbance are estimated, then estimations of the uncertainties and disturbance are transmitted to the Linear Quadratic Regulator (LQR) controller for eliminating the influences of the uncertainties and disturbance; and tracking the optimal power point of WECS. It should be noted that the uncertainties in this work are time-varying and both uncertainties and disturbance do not need to satisfy the bounded constraints. The wind speed and aerodynamic torque are arbitrary and unnecessary to fulfill the low-varying constraint or r^{th} time derivative bound. On the basis of Lyapunov methodology and the sum-of-square technique (SOS), the main theorems are derived to design the polynomial disturbance observer. Finally, the simulation results are provided to demonstrate the effectiveness and merit of the proposed method.
disturbance observer , LQR , polynomial observer , SOS , uncertainties , WECSs
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Department of Automatic Control, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Viet Nam
Department of Automotive Electronics, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Viet Nam
Faculty of Mechatronics and Electronics, Lac Hong University, Bien Hoa, Viet Nam
Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan
Department of Robotics and Mechatronics, School of Science and Technology (SST), Nazarbayev University, Astana, Kazakhstan
Department of Automatic Control
Department of Automotive Electronics
Faculty of Mechatronics and Electronics
Department of Electrical Engineering
Department of Robotics and Mechatronics
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