摘要
为克服常规PID算法不能实时调整参数、非线性逼近能力差的问题,提出了直流电机的小脑模型神经网络(CMAC)与PID复合控制的策略。运用Matlab软件设计了CMAC-PID自适应智能控制器,证明了该算法的可行性、有效性,并得到了较为理想的控制效果。
To overcome the problem of conventional PID algorithm being not able to real-timely adjust the parameters, and poor non-linear approximation ability, a eerebellar model articulation controller （CMAC） and PID compound control strategy of DC motor is proposed. Matlab software is used to design intelligent adaptive CMAC-PID controller, and it proves the feasibility and effectiveness of the algorithm and the controller has a better control effect.
出处
《三明学院学报》
2009年第2期165-167,共3页
Journal of Sanming University
基金
福建省资助省属高校项目(2008F5057)
三明学院科学研究发展基金项目(B0830/Q)
