摘要
小脑关节模型网络具有计算简单、学习速度快等特点,设计PID和CMAC的复合控制器既能够发挥PID控制器鲁棒性强的特点,又能够利用CMAC学习获取的知识根据输入的变化快速地做出响应,并能够提高控制系统的抗干扰能力。本文采用改进的粒子群算法对PID的控制参数进行优化,并在此基础上设计了一种新型的PID-CMAC复合控制器,通过仿真试验表明,该控制策略能够提高整个系统的控制品质。
The cerebellar model articulation controller has the advantages of simple computation and speedily learning. A compound controller which is designed and constructed based on CMAC and combined with a PID controller has two characteristics: the one is that the ability of the strong robustness of PID controller can be enhanced,the other is that the knowledge derived from CMAC learning could have response to the change of inputs rapidly and could improve the capacity of the anti-interference of the control system. The paper adopts the improved particle swarm optimizer to optimize the controls parameter of PID and to design a novel compound controller of PID and CMAC. Simulation results show that this control strategy can improve the control quality of the whole system.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第z3期1984-1985,共2页
Chinese Journal of Scientific Instrument
