A Self-coordination Multimode Control System Based on on-line Genetic Optimization

Qingwu Fan, Pu Wang, Huiqing Zhang, Junqian Liu
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Abstract

In order to satisfy the requirements of higher accuracy and faster response of complex system, a control strategy with self-coordination multimode based on P control, fuzzy control, PI control and online genetic optimization is presented in this paper. The results of simulations show that this method improves not only the disturbance resistance, shortens the transition time, accelerates the dynamic response, but also has good anti-interference and disturbance. So this method has better use value
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基于在线遗传优化的自协调多模控制系统
为了满足复杂系统更高精度和更快响应的要求,本文提出了一种基于P控制、模糊控制、PI控制和在线遗传优化的自协调多模控制策略。仿真结果表明,该方法不仅提高了系统的抗干扰性,缩短了系统的过渡时间,加快了系统的动态响应速度,而且具有良好的抗干扰性和抗干扰性。因此该方法具有较好的使用价值
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