摘要
本文提出了一种改进的单神经元PID控制的方法 ,采用专家调节单神经元PID控制中的比例增益 ,有效地解决了单神经元PID控制中学习速度较慢 ,动态响应时间长等问题。这种控制方法具有较强的鲁棒性 ,其控制性能优于常规PID控制和单神经元PID控制。通过对一阶惯性加纯迟延的典型工业过程对象的仿真研究 。
An improved single neuron PID control algorithm is presented,in which the proportional coefficient of single neuron is chosen by the expert control idea.The learning rate,dynamic response have all been greatly improved.The new algorithm has strong robustness and the performance is found to be better than that of the classical PID control and single neuron PID control.Based on the simulations carried out on the plant of 1st order plus pure delay,the effectiveness and feasibility of the algorithm are verified.
出处
《自动化技术与应用》
2003年第4期14-16,共3页
Techniques of Automation and Applications
