双输入双输出时滞系统的解耦控制方法

Decoupling control model of TITO system with time-delays

文章针对带有时滞环节的双输入双输出非最小相位系统提出了一种基于遗传算法的模糊解耦控制方法。该方法将遗传算法引入模糊解耦控制机制并对其进行优化,克服了传统解耦方法中由于时滞问题所带来的误差,并将其运用于空气压缩机模型,通过MATLAB仿真分析证实了这种基于遗传算法的模糊解耦方法能有效的控制开环不稳定非最小相位系统,并对其进行有效解耦。

This paper proposes a GA-based fuzzy decoupling control method for TITO non-minimum phase system with time-delays. This method introduces the hereditary algorithm to the control mechanism of fuzzy decoupling and optimizes it, overcomes the error that Js caused by the question of time-delays in tradition decoupling method and bring Jt to air compressor model. The conclusion that GA-based fuzzy decoupljng control method can control and decouple the openloop unstable non-minimum phase system effectively is confirmed by MATLAB Simulating and analyzing.