多变量模糊控制系统的设计及仿真  

Design of a multivariable fuzzy control system and its simulation research

作　　者：于霞[1] 宋凌锋[2] 陈学允[1] 

机构地区：[1]哈尔滨工业大学电气工程系,黑龙江哈尔滨150001 [2]清华大学电机工程系,北京100084

出　　处：《大庆石油学院学报》2001年第1期41-43,共3页Journal of Daqing Petroleum Institute

摘　　要：采用遗传算法对一类以神经网络实现的多变量模糊控制系统进行建模 ,综合利用多种智能技术的优势 ,使控制系统的设计过程更为合理和智能化 ,保证各输出量间协调动作 ;同时考虑应用的特点 ,提出了一种新型的自适应遗传算法 ,它能够有效地改善在设计过程中的收敛性并提高收敛速度 .A modelling process with genetic algorithms for a network\|based multivariable fuzzy control system is presented in this paper. With integration of more intelligent techniques, more reasonable design process is obtained, and the coordinated control actions are maintained in methods in the meantime. Moreover, a new adaptive genetic algorithm is also introduced for the purpose of improving convergent performance. Coordinated excitation/valve control of a turbo\|generating unit is taken as an example to show the effectiveness of the new methods.

关 键 词：多变量 模糊控制系统 神经网络 自适应遗传算法 发电机协调控制 仿真 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]