利用人工神经网络对PID参数进行整定

Nisha, Avneesh Mittal, O. P. Sharma, Nitu Dhyani, Vijay Sharma, A. Kapoor, T. Saxena
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引用次数: 4

摘要

在变化的环境中调整PID控制器是非常困难的。为此,必须使用自适应PID控制器。本文提出了一种PID控制器快速整定的新方法,并在设计开发的硬件上以89C51单片机为核心实现。变化的环境在非常古老的现有MLW-MK70,前东德浴已创建与两个微控制器的帮助下。采用人工神经网络(ANN)对PID参数进行整定。本软件采用Visual BASIC5.0语言编写。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tuning of PID parameters using artificial neural network
Tuning of the PID controller in a varying environment is extremely difficult. For this purpose one has to use the adaptive PID controller. In the present paper a novel method for fast tuning of the PID controller has been presented and implemented on designed and developed hardware around the 89C51 microcontroller. Varying environment in the very old existing MLW-MK70, former East German bath has been created with the help of two microcontrollers. The artificial neural network (ANN) has been used to tune the PID parameters. The software has been written in Visual BASIC5.0 language.
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