Intelligent condition monitoring of variable speed wind energy conversion systems based on decentralized sliding mode observer

Boumaiza Ahlem, Arbaoui Fayçal, S. Larbi
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引用次数: 2

Abstract

The main objective of this work is to describe the application of Decentralized sliding mode observer (DSMO) based fault detection and isolation (FDI) scheme for nonlinear variable speed wind energy conversion system (VSWECS) designed by a polytopic Quasi LPV representation, which is able to describe it as a convex combination of submodels defined by the vertices of a convex polytope. Stability conditions are performed by using Linear Matrix Inequalities (LMIs). In this work, we focus on the estimation and the reconstruction of the possible actuator and sensor faults to guarantee the efficiency and the continuous operation of this system. Simulation results are given to demonstrate the validity and the effectiveness of the proposed approach.
基于分散滑模观测器的变速风能转换系统智能状态监测
本文的主要目的是描述基于分散滑模观测器(DSMO)的故障检测与隔离(FDI)方案在非线性变速风能转换系统(VSWECS)中的应用,该系统采用多面体拟LPV表示设计,能够将其描述为由凸多面体的顶点定义的子模型的凸组合。利用线性矩阵不等式(lmi)给出了稳定性条件。在本工作中,我们着重于对执行器和传感器可能出现的故障进行估计和重构,以保证系统的效率和连续运行。仿真结果验证了该方法的有效性。
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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