遗传算法在非线性系统模糊滑模控制中的应用

2007 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services Pub Date : 2007-11-05 DOI:10.1109/TELSKS.2007.4376050

D. Antić, M. Milojković, Z. Jovanovic

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引用次数: 0

摘要

本文提出了一种基于遗传算法的非线性系统模糊滑模控制新方法。该控制方法在鲁棒性、控制动态性和被控信号方面都取得了良好的效果。它还解决了抖音问题。通过倒立摆系统的仿真，对该方法进行了说明和验证。

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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Genetic Algorithms Applied in Fuzzy-Sliding Mode Control of Nonlinear Systems

This paper considers a new method for nonlinear systems control based on genetic algorithms applied on fuzzy- sliding mode. This new control method achieves good results in terms of robustness, dynamics of control, and controlled signals. It also solves the chattering problem. Illustration and verification of this new method is done by simulation of inverted pendulum system.

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2007 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services

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