Abstract
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 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> 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.
Highlights
Nowadays, air pollution and global warming caused by using fossil fuels are increasingly becoming a serious problem in the whole world that affects human health and economic development
A new approach to design a polynomial disturbance observerbased controller to track the maximum power point of wind energy conversion system (WECS) has been studied in this article
The system WECS is impacted by the time-varying uncertainties and the disturbance
Summary
Air pollution and global warming caused by using fossil fuels are increasingly becoming a serious problem in the whole world that affects human health and economic development. The Ta is arbitrary signals, the approaches in papers [9], [10], [20] are failed to design a controller for WECS Owing to these reasons, in this paper a polynomial observer is proposed to estimate electromagnetic torque Te, aerodynamic torque Ta, the time-varying uncertainties, and the system disturbance d(t) without employing the sensors. In this paper a polynomial observer is proposed to estimate electromagnetic torque Te, aerodynamic torque Ta, the time-varying uncertainties, and the system disturbance d(t) without employing the sensors The information of these signals will be transmitted to the LQR controller for tracking maximum power point purposes.
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