利用遗传算法优化模糊控制器参数，对倒立摆进行控制

2015 3rd International Conference on Control, Engineering & Information Technology (CEIT) Pub Date : 2015-05-25 DOI:10.1109/CEIT.2015.7233020

Khayreddine Saidi, Mourad Allad

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引用次数: 6

摘要

本文提出了将两种人工智能技术结合起来进行倒立摆控制的方法。该控制器将遗传算法优化技术与模糊逻辑控制器相结合。我们将此过程应用于遗传算法(GA)来搜索模糊逻辑控制器的最优参数(增益)。数值仿真验证了所提控制策略的有效性。

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Fuzzy controller parameters optimization by using genetic algorithm for the control of inverted pendulum

In this paper, hybridization between two artificial intelligence techniques is proposed for the control of inverted pendulum. The controller combines a genetic algorithms technique optimization with fuzzy logic controller. We employ this procedure in a genetic algorithm (GA) to search for the optimal parameters (gains) of fuzzy logic controller. Numerical simulations verify the validity of the proposed control strategy.

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2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)

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