摘要
本文将神经网络应用于PID控制器的参数整定,提出了一种基于自适应神经网络PID的控制算法。通过在供热锅炉温度解耦控制系统中的应用,得到了实际的仿真结果和结论。MATALB仿真和实验结果表明,该控制方法通过自主学习、能做到自适应调整经验数据和智能调整神经网络权值,最后能达到满意的解耦响应控制效果,实现了对供热锅炉加热炉温度的精确稳定控制。
In this paper,neural network is applied to the parameter tuning of PID controller,and a control algorithm based on adaptive neural network PID is proposed.Through the application in the temperature decoupling control system of the heating boiler,the actual simulation results and conclusions are obtained.The simulation results based on MATLAB show that the decoupling control algorithm has strong self-learning function and self-adaptive decoupling ability,can achieve good control effect in practica l application,and can be widely used in the decoupling control of multivariable system.In this paper,neural network is used for parameter tuning of PID controller,and a control algorithm based on adaptive neural network PID is proposed.Through the application in the heating boiler temperature decoupling control system,the actual simulation results and conclusions are obtained.MATALB simulation and experimental results show that the control method can achieve self-adaptive adjustment of empirical data and intelligent adjustment of neural network weights through independent learning.Finally,it can achieve satisfactory decoupling response control effect and realize the heating furnace temperature Precise and stable control.
出处
《科学技术创新》
2020年第5期15-17,共3页
Scientific and Technological Innovation
