Tuning fuzzy fractional order PID sliding-mode controller using PSO algorithm for nonlinear systems

Bouarroudj Noureddine, Boukhetala Djamel, F. Boudjema
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引用次数: 19

Abstract

In this paper, a robust fuzzy fractional order sliding mode controller (FFOSMC) for nonlinear systems is studied. Firstly a sliding PIα Dα surface is proposed, and the control law is designed. In order to reduce the chattering phenomenon in sliding mode control (SMC), a Takagi-Sugeno fuzzy logic controller is used to replace the discontinuity in the signum function, and to ensure optimal performance in the closed loop system, the PSO algorithm is used. Finally the effectiveness of the proposed approach of FFOSMC-based PSO algorithm is demonstrated by simulation results with an inverted pendulum and chaotic system.
采用粒子群算法对非线性系统的模糊分数阶PID滑模控制器进行整定
研究了非线性系统的鲁棒模糊分数阶滑模控制器。首先提出了滑动PIα Dα曲面,并设计了控制律。为了减少滑模控制(SMC)中的抖振现象,采用Takagi-Sugeno模糊控制器代替sgum函数中的不连续,并采用粒子群算法保证闭环系统的最优性能。最后,通过对倒立摆和混沌系统的仿真,验证了基于ffosmc的粒子群算法的有效性。
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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