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基于免疫双态微粒群的混沌系统自抗扰控制
引用本文:刘朝华,张英杰,章兢,吴建辉.基于免疫双态微粒群的混沌系统自抗扰控制[J].物理学报,2011,60(1):19501-019501.
作者姓名:刘朝华  张英杰  章兢  吴建辉
作者单位:(1)湖南大学电气与信息工程学院,长沙 410082; (2)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; (3)湖南大学计算机与通信学院,长沙 410082
基金项目:国家自然科学重点基金项目(批准号:60634020),湖南省科技计划重点项目(批准号:2010GK2022)资助的课题.
摘    要:利用人工免疫算法及粒子群优化算法融合的优点,提出了一种免疫双态微粒群算法(immune binary-state particle swarm optimization, IBPSO)的自抗扰控制器(IBPSO-ADRC),应用于混沌系统控制,构建一种混沌系统自抗扰控制系统.实验研究表明:该控制方法无需了解动态系统精确模型,具有响应速度快,有效抑制混沌系统参数摄动及较强抗干扰能力的特点. 关键词: 人工免疫系统 微粒群算法 混沌系统 自抗扰控制器

关 键 词:人工免疫系统  微粒群算法  混沌系统  自抗扰控制器
收稿时间:2009-11-24

Active disturbance rejection control of a chaotic system based on immune binary-state particle swarm optimization algorithm
Liu Zhao-Hua,Zhang Ying-Jie,Zhang Jing,Wu Jian-Hui.Active disturbance rejection control of a chaotic system based on immune binary-state particle swarm optimization algorithm[J].Acta Physica Sinica,2011,60(1):19501-019501.
Authors:Liu Zhao-Hua  Zhang Ying-Jie  Zhang Jing  Wu Jian-Hui
Institution:College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;College of Computer and Communication, Hunan University, Changsha 410082, China;College of Computer and Communication, Hunan University, Changsha 410082, China;College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;College of Computer and Communication, Hunan University, Changsha 410082, China
Abstract:The active disturbance rejection control (ADRC) has the property of requiring no knowledge about the precise mathematical model, but the parameters of controller is difficult to be tuned. An active disturbance rejection control based on immune binary-state particle swarm optimization algorithm (IBPSO-ADRC) is proposed, which takes advantage of the combination of the artificial immune systems (AIS) and particle swarm optimization (PSO). The proposed algorithm is applied to optimize the parameters of ADRC and then to control chaotic system. Furthermore, a new ADRC for the chaotic system is constructed. The simulation experiments indicate that the scheme requires no knowledge about the mathematical model with fast response speed, while restraining the parameter perturbation of chaotic system effectively and is robust to noise.
Keywords:artificial immune system (AIS)  particle swarm optimization (PSO)  chaotic system  active disturbance rejection control (ADRC)
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