基于遗传算法的模糊免疫控制器设计  

Design for Fuzzy Immune Controller Based on Genetic Algorithm

作　　者：张毅[1] 杨秀霞[1] 

机构地区：[1]海军航空工程学院自动控制系,山东烟台264001

出　　处：《系统仿真学报》2004年第7期1548-1551,共4页Journal of System Simulation

摘　　要：运用模糊李亚普诺夫综合法设计模糊控制器来模拟免疫系统中的反馈机理,应用遗传算法对控制系统响应的快速性及稳定性的参数进行了优化,实现了免疫控制器的合理设计。采用此方法设计平衡梁系统控制器,仿真结果表明,控制器性能优于常规控制器,且系统具有良好的鲁棒性。The immune feedback mechanism is modeled by fuzzy controller in accordance with fuzzy Lyapunov-based approach. Parameters that control the rapidity and stability of the system response are optimized by using genetic algorithm. The reasonable design of the immune controller is completed. Using this method, a controller for beam-balanced system is designed. Simulation results show that its performance is better than conventional controller and the beam-balanced control system has good robustness.

关 键 词：免疫控制器 模糊控制 遗传算法 平衡梁 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]