| 改进遗传算法在智能悬臂梁模糊控制的应用 |
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| 引用本文： | 张京军,郭晓品,何丽丽,高瑞贞.改进遗传算法在智能悬臂梁模糊控制的应用[J].动力学与控制学报,2011,9(1):58-63. |
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| 作者姓名： | 张京军 郭晓品 何丽丽 高瑞贞 |
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| 作者单位： | 河北工程大学科研处,邯郸 056038;河北工程大学土木学院,邯郸 056038;河北工程大学土木学院,邯郸 056038;河北工程大学机电学院,邯郸 056038 |
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| 基金项目： | 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) |
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| 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.
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| 关 键 词： | 模糊控制器 模糊规则 改进遗传算法 智能悬臂梁 MATLAB |
| 收稿时间： | 2010/10/18 0:00:00 |
| 修稿时间： | 2010/11/5 0:00:00 |
Application of Improved genetic algorithm in fuzzy control for intelligent cantilever beam |
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| Zhang Jingjun,Guo Xiaopin,He Lili and Gao Ruizhen.Application of Improved genetic algorithm in fuzzy control for intelligent cantilever beam[J].Journal of Dynamics and Control,2011,9(1):58-63. |
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| Authors: | Zhang Jingjun Guo Xiaopin He Lili and Gao Ruizhen |
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| Affiliation: | Zhang Jingjun1 Guo Xiaopin2 He Lili2 Gao Ruizhen3 (1.Department of Science Research,Hebei University of Engineering,Handan 056038,China) (2.College Civil Engineering,China) (3.Mechanical and Electrical Engineering,China) |
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| Abstract: | 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,... |
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| Keywords: | fuzzy controller fuzzy rules improved genetic algorithm intelligent structure MATLAB |
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