基于免疫算法的混沌多模型微扰控制  

Multi-model solution for chaos control based on the immune algorithm

作　　者：陆益民[1] 毛宗源[1] 张波[2] 

机构地区：[1]华南理工大学自动化科学与工程学院 [2]华南理工大学电力学院,广东广州510640

出　　处：《控制理论与应用》2004年第1期30-34,共5页Control Theory & Applications

基　　金：国家自然科学基金项目(50177009);广东省自然科学基金项目(011652).

摘　　要：A.Duchateauetal的多模型控制策略是一种改进的OGY方法,为扩大控制器在吸引子中的作用范围,需要在混沌系统的一条无控收敛轨道上设置一系列的局部线性模型,由线性反馈控制律把混沌系统引导到不动点,这要求控制器的结构和控制量的大小是可变的.本文应用人工免疫算法的参数和结构双重可塑性来产生多模型控制策略控制律,由此提出了一种新的混沌控制方法.对H啨non映射仿真的结果表明:与其他方法相比,新方法能在较短的混沌暂态时间内把系统控制到预定轨道.因此,基于人工免疫算法的混沌多模型微扰控制方法能对混沌系统实施有效控制,且能够应用于系统全局动力学模型未知而仅获得实验数据的情况.The multi-model solution proposed by A. Duchateau et al is a further extension of the OGY method. In order to increase the zones of effective control (ZECs) of the attractor, a series of local linear models and control laws was positioned along an uncontrolled convergent trajectory that could direct the chaotic process towards its fixed point. So, controllers with both variable structure and parameter were required. A new control method was presented that the control laws of multi-model solution were generated by artificial immune algorithm to obtain double plasticity of parameter and structure. The simulation results showed that the new method could control the chaotic system towards its desired trajectory in less chaotic transient time than it used to be. The proposed approach is applicable to the systems with unknown dynamic model and known experimental data.

关 键 词：混沌控制 免疫算法 多模型微扰控制 多模型控制策略 反馈控制 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] O231[自动化与计算机技术—控制科学与工程]