摘要
为了提高模糊控制器调节系统稳态精度的能力 ,对常规PD型模糊控制器进行分析 ,找到了产生稳态误差的主要原因 .采用根据个体适应度来自适应调节交叉率和变异率的遗传算法来优化模糊控制器中的隶属函数和量化因子的初始值 ,并同时根据控制查询表的输出来在线调整量化因子 .
In order to improve the steady-state accuracy of fuzzy controller, the major source of steady-state error is presented by analyzing the general PD-type fuzzy controller. A modified genetic algorithm is used which can adjust the crossover rate and mutation rate self-adaptively to optimize the membership functions and the initial value of the quantifying factors and to adjust quantifying factors on-line based on the output of control searching table. The theoretical analysis and the simulation results show that this method has better performance and effectiveness than the other ones.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2002年第6期572-575,共4页
Journal of Xi'an Jiaotong University
关键词
模糊控制
稳态误差
遗传算法
量化因子
Errors
Fuzzy control
Genetic algorithms
Optimization
Performance
Simulation
