纯滞后系统的单神经元-Smith预估控制

工业过程控制中,纯滞后系统普遍存在,单纯的Smith预估控制的鲁棒性差,单神经元具有自学习、自适应能力,将单神经元与Smith二者有机结合,形成单神经元—Smith复合控制器,并利用MATLAB/Simulink对其进行仿真研究。仿真结果表明,这种控制器充分发挥了神经元自适应、自学习的功能,弥补了单纯的Smith控制器在处理纯滞后问题中的不足,具有良好的抗干扰能力和适应性。

Single Neuron-Smith Prediction Control of Time-delay System

In the industrial process control,the time-delay system is universal.The robustness of a simple Smith prediction control is poor.Single-Neuron has the ability of self-learning and self-adapting,and by organic combining Single-Neuron and Smith predictor,a Single Neuron-Smith complex controller is formed.And the simulation research using MATLAB/Simulink has conducted.The simulation result indicated that,this kind of controller develops the Neuron function to the full of self-learning and self-adapting,and mak...