基于Markov参数整定的自适应迭代学习PID控制Adaptive iterative learning PID control based on Markov parameter tuning
尹俊华,薄翠梅,刘艳萍,杨磊
摘要(Abstract)：
针对半间歇反应过程参数时变问题,研究基于Markov参数整定的单神经元自适应迭代学习PID控制方法。首先建立二维迭代学习PID控制器(2D-ILC-PID),采用Markov参数法离线整定控制器的参数初值;然后在批次内采用单神经元自适应调节机制在线调节2D-ILC-PID控制器参数,同时利用批次间的重复特性更新控制输入提高迭代学习速率,有效提升控制系统跟踪性能。最后在环己胺制备反应过程进行仿真实验验证,实验结果表明提出的基于Markov参数整定的自适应迭代学习控制方法能够实现多时段反应器温度的精确跟踪。
关键词(KeyWords)： Markov参数整定;单神经元自适应;PID控制;迭代学习控制
基金项目(Foundation): 国家自然科学基金(61673205,21727818)
作者(Author): 尹俊华,薄翠梅,刘艳萍,杨磊
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