摘要
采用单神经元构成ＰＩＤ控制器，并和预测控制结合克服时滞对控制系统的影响．对大时滞大惯性的电加热炉的实时控制结果表明，这种自适应控制算法切实可行，且具有较强的鲁棒性，适合于控制大时滞被控过程．
In this paper, an adaptive neuron PID controller with optimal prediction which is suitable for the process with unknown time varying delay, disturbance and time varying parameters is presented. The control algorithm combined intelligent control with predictive control. The real time temperature control result of the electrical furnace shows that the presented adaptive neuron PID controller with optimal prediction may be realized and has high robustness, especially for the delay systems.
出处
《信息与控制》
CSCD
北大核心
1999年第5期345-349,共5页
Information and Control
基金
清华大学智能技术与系统国家重点实验室资助项目
甘肃省自然科学基金
关键词
神经元
PID控制器
预测控制
自适应控制
neuron,adaptive control,predictive control,PID,delay systems,industrial process computer
