风电场故障检测与控制重构

Selam Karim, T. Mohamed, Allaoui Tayeb
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引用次数: 0

摘要

在本文中,我们开发了一种新的主动容错控制算法,该算法能够在执行器故障时稳定风力发电机,其主要思想是使用观测器冗余来生成残差集,用于有效的检测和多重控制方案,该方案允许在故障存在时自动切换到适当的控制,以保持最高性能的能源生产的连续性。对于故障检测,我们采用卡尔曼滤波器和滑模观测器组成的两个观测器,在健康模式下采用线性二次高斯(LQG)控制方法,在控制器设计和滑模控制中具有良好的性能、最优控制和鲁棒性。为了验证所提出的方法,利用MATLAB脚本进行了仿真,并给出了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault Detection and Control Reconfiguration of Wind Power Plants
In this paper we developed a new Active Fault Tolerant Control algorithm That is able to stabilize the Wind Turbine under actuator fault, The main idea is to use a observers redundancy to generate a residual set for an effective detection and multiple controls scheme which allow to switch automatically the control to the adequate one in the presence of the fault to maintain the continuity of the energy production with the highest performance possible. For the fault detection we used a bank of two observers the Kalman filter and Sliding mode observer, A method using In the healthy mode is Linear Quadratic Gaussian (LQG) control methodology shows good performance, optimal control and robust-ness in controller design and Sliding Mode control when fault occur. To validate the proposed method, the simulation has been carried out using MATLAB script and the results are presented.
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