摘要
根据传统PID算法在工业控制系统中的特点,考虑具有大滞后的温度控制系统,提出了一种单神经元积分分离PID改进算法,采用大滞后被控对象数学模型为例,对基于单神经元积分分离PID改进算法的控制过程进行了仿真研究.仿真结果表明,该改进算法在大滞后系统中具有自适应性强、控制精度高和控制效果好等优点.
According to the traits of the traditional PID algorithm on the industry control system, the paper presents a kind oF improved single NN-PID control algorithm, taking the great-lagged temperature control system into account. Furthermore, it cites the mathematics models of the great-lagged control system as examples, the MATLAB simulation results can transfer us a piece of news which has strong adaptation, high accuracy and excellent control effects.
出处
《中原工学院学报》
CAS
2006年第6期26-29,33,共5页
Journal of Zhongyuan University of Technology
关键词
温度控制
单神经元
PID控制
积分分离
temperature control
single neuron
PID control
separation integral
