基于随机双线性系统模糊控制器的优化及仿真  

Optimization and Simulation Based on Fuzzy Controller Based on Random Bilinear System

作　　者：刘良福[1] 焦海宁[2] 

机构地区：[1]赣南师范学院,江西赣州341000 [2]江西理工大学机电工程学院,江西赣州341000

出　　处：《低压电器》2005年第12期27-29,40,共4页Low Voltage Apparatus

摘　　要：针对一个具体双线性模型,在先验知识不完备的情况下,采用分步优化法研究了基于遗传算法设计和动态优化模糊控制器的方法。首先离线优化隶属函数和控制规则,然后在优化后的基础上进一步调整量化系数,使系统逐步向稳定、快速响应的方向发展。该方法突破了传统的单一搜索,运用了系统的众多信息,避免了因过度强调某方面的信息而造成系统运行结果不理想的缺陷。最后就文中选用的随机双线性系统,运用本算法得到的结果进行仿真分析,证明了研究内容基本符合工业上响应快、超调小的要求。Arming at a concrete bilinear model ,under the condition of immaturity prior knowledge, a method based on the genetic algorithm design and the dynamic optimized fuzzy controller was studied. A novel optimizing method ,the multiple step optimizing was adopted in this algorithm. Firstly, the membership function and control rule were optimized ,then the quantizing coefficient was adjusted further to develop system in steady, fast responding. Correcting traditional single search （ optimizing membership function or optimizing control rule separately ） , using numerous information of system and making them harmonious effectively and avoiding excessive emphasizing a certain information leading to unsatisfactory systematic operation result were realized by using this method. The results prove that the above research content basically meet the requirments of quick responding, small exceeding characteristic of industry.

关 键 词：遗传算法 模糊控制 MATLAB语言 双线性模型 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]