一类二自由度PID控制的神经元实现研究  

Study on Neuron Realization of one Class of Two Degree-of-Freedom PID

作　　者：林瑞全[1] 邱公伟[1] 罗旺春[1] 

机构地区：[1]福州大学电气工程与自动化学院,福建福州350002

出　　处：《系统仿真学报》2004年第3期424-426,440,共4页Journal of System Simulation

基　　金：福建省自然科学基金项目(E0010017)

摘　　要：给出一种从不完全二自由度PID控制P-I-PD算法派生出的神经元PID控制器的实现方法,利用MATLAB/SIMULINK仿真软件对该控制器在燧道式炉中的应用进行仿真研究。仿真结果表明,神经元P-I-PD控制不但具有二自由度PID控制的优点,而且还具有神经元自适应控制的特点,系统具有较好的跟随性、抗干扰性和较强的鲁棒性。In this paper, we propose the neuron PID controller which is derived from incomplete two degree-of-freedom PID algorithm of P-I-PD. Simulation research using MATLAB/SIMULNK software of this control method applying in tunnel-like oven is presented. Also the simulation results are given. The simulation results show that neuron P-I-PD controller not only has the advantage of two degree-of-freedom PID, but also has the self-adaptive features of neuron, the characteristics of tracking set-value, anti-interference and robustness can be improved.

关 键 词：P-I—PD控制 二自由度PID控制 神经元 MATLAB/SIMULINK仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]