基于模拟退火算法的模糊控制器优化设计  

Optimization of fuzzy controller based on simulated annealing algorithm

作　　者：满春涛[1] 黄金杰[1] 张筱磊[2] 

机构地区：[1]哈尔滨理工大学计算机与控制学院,黑龙江哈尔滨150080 [2]哈尔滨工业大学控制科学与工程系,黑龙江哈尔滨150001

出　　处：《电机与控制学报》2004年第3期281-284,共4页Electric Machines and Control

基　　金：黑龙江省自然科学基金(F0202);黑龙江省教育厅科学技术项目(10543009)

摘　　要：提出了一种解析规则模糊控制器的改进结构,引入了能够动态调整模糊控制规则的修正函数,并给出了模糊控制器输出控制量在稳态附近的局部连续化算法;同时,通过模拟退火算法,实现了模糊控制器控制参数的组合优化设计。结果表明,使用该方法设计的模糊控制器具有响应快、超调小、稳态精度高等优点,改善了模糊控制系统的性能。An improved structure of analytic expression based fuzzy controller is proposed, and a modifying function capable of regulating the fuzzy control rules dynamically is introduced. After that, a local continuous algorithm for output of the fuzzy controller around the steady state is presented. In addition, a combinatorial optimization of the fuzzy controller's parameters is implemented by using the simulated annealing algorithm. The simulation results show that the fuzzy controller designed by the suggested method has the advantages of fast response, small overshoot and high steady accuracy. Thus the performances of the fuzzy control system are improved.

关 键 词：模糊控制器 优化设计 模拟退火算法 模糊控制系统 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]