智能算法在控制系统中的应用

The Research of Intelligent Algorithm on the Optimization Using in Control System

本文在神经网络系统辨识和遗传算法寻优理论研究的基础上,以双容水箱水位控制系统为实际对象,模拟实际生产过程中不同工况下,对象特性发生变化时PID控制器的参数寻优过程,提出了对不同工况分别建立模型,优化参数的控制思想,具有广泛的工业应用背景。本文采用智能控制技术优化PID参数,利用神经网络进行系统辨识、建立对象模型;在此模型基础上,运用遗传算法寻优PID控制参数,达到最优控制效果。

Hold the actual target of level of tanks which is with two volumes and simulate the different operating modes. When changing PID parameters of controller seek excellent courses characteristic target, the text proposes the ideal respectively to set up different operating modes and optimizing the control thought of the parameter, which has certain background in industry usage. And it introduces the control thought-setting up traget model and optimize optimizing the parameters respectively in different working conditions, which has industrial application foreground. This article optimizes PID parameters with intelligent control technologies and distinguish system with nerve to network and set up target model; On the basis of this model, the genetic algorithm （GA） is used to seek excellent PID control parameters and get the optimum result of control.