基于bp神经网络pid自整定仿真研究
时间: 2023-11-16 11:34:38 浏览: 39
摘要:本文介绍了一种基于BP神经网络的PID自整定方法,并通过仿真实验验证了其有效性。首先,利用MATLAB软件建立了PID控制系统的模型,并将其分别用传统PID控制和BP神经网络PID控制进行仿真。然后,通过比较两种控制方法的控制效果和稳定性,验证了BP神经网络PID控制的优越性。最后,对BP神经网络PID控制的各项参数进行了分析和优化,得到了更优的控制效果。该方法可以为工业控制系统的自动化升级提供新的思路和方法。
关键词:BP神经网络;PID控制;自整定;仿真研究
Abstract: This paper introduces a PID self-tuning method based on BP neural network, and verifies its effectiveness through simulation experiments. First, the PID control system model was established using MATLAB software, and simulation was carried out using traditional PID control and BP neural network PID control respectively. Then, by comparing the control effect and stability of the two control methods, the superiority of BP neural network PID control was verified. Finally, the parameters of BP neural network PID control were analyzed and optimized, and better control effect was obtained. This method can provide new ideas and methods for the automation upgrade of industrial control systems.
Keywords: BP neural network; PID control; self-tuning; simulation research.