摘要
选用单神经元自适应控制结构,采有监督Hebb学习算法实现了对电阻炉大时滞控制系统的单神经元PID控制,探讨了参数对系统性能的影响,同时,使用Matlab分别对常规PID算法、自适应单神经元PID算法进行了仿真研究与比较并对参数选择进行了仿真研究.仿真结果表明,自适应神经元结构的PID控制动态控制效果良好,具有较高的工业实用价值.
A kind of single neural adaptive construction and supervisory Hebb algorithm were used to control furnace with huge delay characteristic,then the impact of the parameters on the system performance was discussed.Simulation researches were made to fulfill the conventional digital PID and adaptive single neural PID algorithms using Matlab.A simulation research was made to find how to choose the parameters.The contrast of the simulation research results shows that adaptive single neural PID can get better performance and has a good application prospect in industry.
出处
《成都大学学报（自然科学版）》
2010年第2期130-132,共3页
Journal of Chengdu University（Natural Science Edition）
基金
成都大学科技基金资助项目
