摘要
阐述了小脑模型神经网络的基本原理并研究分析了其工作原理。在此基础上,结合PID控制的优点,提出了小脑模型神经网络与PID复合控制的算法。仿真结果表明,该算法实现简单方便,具有较好的实时性、稳定性和较强的鲁棒性,对被控对象的控制效果比较理想。
In this paper the theory of CMAC has been introduced and the operating principles of it have been analyzed. On the base of it, the control algorithm of combining CMAC and PID is implied. The simulation results show that this method carries out easily, that better timely, stability and stronger robustness can be get, and that the control performance on plant is better.
出处
《河南科学》
2004年第3期310-312,共3页
Henan Science
