On the study of an optimal and robust control of the inverted pendulum wind turbine

A. Abdellah, A. Abdelhafid, R. Mostafa
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引用次数: 0

Abstract

The main limitation of the optimal control is the requirement of complete system knowledge, this leads to the high sensitivity to parametric uncertainties and exogenous perturbations. A possible solution to this problem is to introduce a sliding mode control (SMC), well known for its robustness to uncertainties and disturbances, into optimal control whenever the uncertainties are present. This can make optimal control more robust and applicable to real energy systems. Though SMC and optimal control are two control strategies, it is possible integrate them together. In this work, combining (SMC) and linear quadratic regulator (LQR) will be analyzed, designed and applied to the new kind of wind turbine model, the so-called Inverted Pendulum Wind Turbine (IPWT). This new approach would allow to place offshore wind farms in deep water. All simulations are done using Matlab/Simulink.
倒立摆风力发电机的最优鲁棒控制研究
最优控制的主要限制是需要完整的系统知识,这导致了对参数不确定性和外源扰动的高灵敏度。一种可能的解决方案是在存在不确定性的最优控制中引入滑模控制(SMC),该控制以其对不确定性和干扰的鲁棒性而闻名。这使得最优控制更具有鲁棒性,更适用于实际能源系统。SMC和最优控制虽然是两种控制策略,但它们是可以结合在一起的。本文将SMC与线性二次型调节器(LQR)相结合,分析、设计并应用于一种新型的风力机模型——倒立摆风力机(IPWT)。这种新方法可以将海上风力发电场置于深水区。所有仿真均使用Matlab/Simulink完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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