Ebrahimkhani Sadegh
Department of Electrical and Robotics Engineering, Shahrood University, 36199-95161, Shahrood, Iran.
ISA Trans. 2016 Jul;63:343-354. doi: 10.1016/j.isatra.2016.03.003. Epub 2016 Mar 24.
Wind power plants have nonlinear dynamics and contain many uncertainties such as unknown nonlinear disturbances and parameter uncertainties. Thus, it is a difficult task to design a robust reliable controller for this system. This paper proposes a novel robust fractional-order sliding mode (FOSM) controller for maximum power point tracking (MPPT) control of doubly fed induction generator (DFIG)-based wind energy conversion system. In order to enhance the robustness of the control system, uncertainties and disturbances are estimated using a fractional order uncertainty estimator. In the proposed method a continuous control strategy is developed to achieve the chattering free fractional order sliding-mode control, and also no knowledge of the uncertainties and disturbances or their bound is assumed. The boundedness and convergence properties of the closed-loop signals are proven using Lyapunov׳s stability theory. Simulation results in the presence of various uncertainties were carried out to evaluate the effectiveness and robustness of the proposed control scheme.
风力发电厂具有非线性动力学特性，并且包含许多不确定性因素，如未知的非线性扰动和参数不确定性。因此，为该系统设计一个鲁棒可靠的控制器是一项艰巨的任务。本文提出了一种新颖的鲁棒分数阶滑模（FOSM）控制器，用于基于双馈感应发电机（DFIG）的风能转换系统的最大功率点跟踪（MPPT）控制。为了增强控制系统的鲁棒性，使用分数阶不确定性估计器来估计不确定性和扰动。在所提出的方法中，开发了一种连续控制策略以实现无抖振的分数阶滑模控制，并且也不假定对不确定性和扰动及其界限有所了解。利用李雅普诺夫稳定性理论证明了闭环信号的有界性和收敛性。在存在各种不确定性的情况下进行了仿真结果，以评估所提出控制方案的有效性和鲁棒性。
