-
针对一类连续时间异结构混沌系统, 利用自抗扰控制很强的鲁棒性, 提出了一种异结构混沌系统反同步的自抗扰控制策略.针对所设计的自抗扰控制器参数较多, 难以整定的问题, 提出了应用混沌粒子群优化算法对控制器进行参数寻优设计. 以Lorenz系统和Chua系统两个异结构混沌系统为例进行仿真验证, 由仿真结果可知, 该方法可以实现异结构混沌系统较快的反同步控制, 且具有很强的抗干扰能力.
-
关键词:
- 异结构混沌系统反同步 /
- 自抗扰控制器 /
- 混沌粒子群优化算法 /
- 参数寻优
For a class of continuous time different structure chaotic systems, due to the strong robustness and adaptability of active disturbance rejection controller (ADRC), we put forward a kind of the anti-synchronization of different structure chaotic systems with auto-disturbance-rejection control strategy. Because there are many parameters in ADRC and they are very difficult to set, in this paper we propose a chaotic particle swarm optimization algorithm to optimize the parameters of controller. Using Lorenz system and Chua system with different structures as an example to perform the simulation test, the results of the simulation verify that the proposed method can realize the anti-synchronization control of the different structure chaos systems faster and has a very strong anti-interference ability.-
Keywords:
- anti-synchronization of different chaotic systems /
- active disturbance rejection controller /
- chaos particle swarm optimization /
- parameters optimization







下载: