| 一类不确定离散混沌系统的自抗扰控制器与小脑神经网络并行优化控制 |
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| 引用本文： | 刘朝华,章兢,张英杰,李小花,吴建辉.一类不确定离散混沌系统的自抗扰控制器与小脑神经网络并行优化控制[J].物理学报,2011,60(3):30701-030701. |
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| 作者姓名： | 刘朝华 章兢 张英杰 李小花 吴建辉 |
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| 作者单位： | (1)长沙师范学校,电子信息工程系,长沙 410100; (2)湖南大学电气与信息工程学院,长沙 410082; (3)湖南大学电气与信息工程学院,长沙 410082; 湖南大学计算机与通信学院,长沙 410082; (4)湖南大学计算机与通信学院,长沙 410082 |
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| 基金项目： | 国家自然科学基金重点项目(批准号:60634020),湖南省自然科学基金(批准号:07JJ3126),湖南省科技计划重点项目(批准号:2007GK3078)资助的课题. |
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| 摘 要： | 针对一类受扰不确定离散非线性混沌系统,提出了基于免疫动态微粒群优化策略的ADRC与CMAC神经网络并行控制方法(ADRC-CMAC).ADRC控制器抑制系统扰动,保证系统的稳定性;CMAC神经网络控制器实现前馈控制保证系统的控制精度和响应速度.利用动态免疫微粒群算法对ADRC-CMAC并行控制器参数进行全局优化.实验结果表明该控制方法具有较快系统的响应速度,较好的抗干扰能力,控制精度高.
关键词：
自抗扰控制器
小脑神经网络
并行控制
混沌系统
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| 关 键 词： | 自抗扰控制器 小脑神经网络 并行控制 混沌系统 |
| 收稿时间： | 2010-05-30 |
| 修稿时间： | 7/3/2010 12:00:00 AM |
ADRC and CMAC combined optimization and control for a class of discrete-time uncertain chaotic systems |
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| Liu Zhao-Hua,Zhang Jing,Zhang Ying-Jie,Li Xiao-Hua,Wu Jian-Hui.ADRC and CMAC combined optimization and control for a class of discrete-time uncertain chaotic systems[J].Acta Physica Sinica,2011,60(3):30701-030701. |
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| Authors: | Liu Zhao-Hua Zhang Jing Zhang Ying-Jie Li Xiao-Hua Wu Jian-Hui |
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| Institution: | College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; School of Computer and Communication, Hunan University, Changsha 410082, China;College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;School of Computer and Communication, Hunan University, Changsha 410082, China;Department of Electronic and Information Engineering, Changsha Normal College, Changsha 410100,China;School of Computer and Communication, Hunan University, Changsha 410082, China |
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| Abstract: | Immune dynamic particle swarm optimization (IDPSO) strategy integrated with active disturbance rejection control (ADRC) and cerebellar model articulation controller (CMAC) combined control is designed for uncertain nonlinear discrete-time chaotic systems. The ADRC-CMAC is comprised of a cerebellar model articulation controller (CMAC) and an ADRC controller. The ADRC controller is designed to guarantee the stability of the system and restrict the disturbance. The CMAC is used to guarantee the control precision and response speed. Immune binary-state particle swarm algorithm is used to tune online the parameters of the ADRC-CMAC. Simulation results of uncertain nonlinear discrete-time systems demonstrate that performance with favorable response speed and restrained disturbance can be achieved by using the proposed control system. |
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| Keywords: | active disturbance rejection control (ADRC) cerebellar model articulation controller (CMAC) parallel control chaotic system |
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