摘要
针对单神经元PID控制中学习速度较慢,动态响应时间长等问题,提出基于二次型性能指标学习算法的单神经元PID控制器,改善单神经元PID控制器的性能。同时,基于该算法进行了工业用温度控制试验箱设计。样机实验表明,该种新型控制算法具有学习速度快、动态响应时间短的特点,该系统具有良好的动态品质和稳态性能。
Aiming at the question of slow studying and time long of dynamic response in single neuron proportional-Integral-derivative (PID) control, put forward single neuron PID controller based on quadrics performance index learning. It improved its performance of single neuron PID controller, at the same time, progress the design of industry temperature control testing box. Experiment shows, the new control algorithm has learning rate is fast and dynamic response time is short, and it has well dynamic quality and stable performance.
出处
《兵工自动化》
2010年第1期66-67,71,共3页
Ordnance Industry Automation