改进遗传算法在智能悬臂梁模糊控制的应用  

APPLICATION OF IMPROVED GENETIC ALGORITHM IN FUZZY CONTROL FOR INTELLIGENT CANTILEVER BEAM

作　　者：张京军[1] 郭晓品[2] 何丽丽[2] 高瑞贞[3] 

机构地区：[1]河北工程大学科研处,邯郸056038 [2]河北工程大学土木学院,邯郸056038 [3]河北工程大学机电学院,邯郸056038

出　　处：《动力学与控制学报》2011年第1期58-63,共6页Journal of Dynamics and Control

基　　金：河北省自然科学基金项目(E2008000731);河北省教育厅科学研究计划项目(2006107)~~

摘　　要：模糊控制器的设计是模糊控制系统的核心,而模糊控制器设计的关键部分是模糊规则,模糊规则的好坏决定了模糊控制系统的控制效果.而一般模糊规则是通过专家经验获得的,存在很大的主观性的缺点,本文以智能悬臂梁结构为研究对象,设计了模糊控制器,改进了遗传算法,提出了使用改进遗传算法对模糊规则进行优化的方法,并给出了遗传编码、适应度函数的确定方法,最后利用Matlab/Simulink建立智能悬臂梁结构的仿真模型,对模糊规则优化前后的智能悬臂梁振动控制结果进行对比.仿真结果表明,优化后的模糊规则使智能悬臂梁的振动幅度显著缩小,而且振动衰减速度明显加快.The design of fuzzy controller was the key of fuzzy control system,while the core of fuzzy controller design lies in fuzzy rules,whose performance determines the control effect of fuzzy system.General fuzzy rules were obtained from expert experience,in which much subjectivity exists.In this paper,a fuzzy controller was designed and genetic algorithm was improved by taking an intelligent cantilever beam as the research object.A method using the improved genetic algorithm to optimize fuzzy rules was proposed,and the genetic coding as well as the fitness function were confirmed.The simulation model of intelligent cantilever beam was built by Matlab/Simulink,and the vibration control effects of fuzzy controller optimized by GA were compared with those un-optimized.The simulation results indicate that the vibration amplitude of intelligent cantilever beam has a significant decrease and the vibration decay rate has a significant increase after the fuzzy rules is optimized.

关 键 词：模糊控制器 模糊规则 改进遗传算法 智能悬臂梁 MATLAB 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]