智能控制与复合控制在二阶时变纯滞后对象的应用研究

针对二阶时变纯滞后对象难以控制的问题,提出了采用改进Smith预估器提高系统的稳定性和鲁棒性;采用CMAC和PID并行控制的算法来提高动态性能;以CMAC神经网络作为一个前馈控制器,通过对PID控制器输出的学习,实现二阶变时滞系统的自适应稳定控制。仿真实验表明,这种复合控制方法保留了Smith算法与CMAC神经网络和PID算法的各自特长,具有学习速度快,适应能力强、动态性能好的优点,具有良好的稳定性控制效果。

Second-Order Systems with Time Delay Research Based on Advanced Control Algorithm

To the problem that the conventional controller based on Smith algorithm may destabilize a control system when the delay time varying,an adaptive controller based on self-tuning principle combining modified Smith algorithm with CMAC is proposed.The CMAC neural network as feed forward is introduced,using the output from PID controller as input parameters.This feature may avoid the influence of time delay changing.Simulation result shows that the extend self-tuning controler works better than the classical PI...