二阶模拟电路系统的遗传算法PID控制

Jen-Hsing Li
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引用次数: 1

摘要

本文是一篇实践性很强的论文,主要研究遗传算法在控制中的应用。被控系统是一个二阶模拟电路系统。该二阶模拟电路系统采用运算放大器实现,具有二阶系统的传递函数特性。许多控制系统都可以简化为二阶系统的模型,因此这种二阶模拟电路系统的控制实现具有一定的应用价值。遗传算法最初是从遗传生物学中的一些现象发展而来的,包括遗传、突变、自然选择和杂交。主要控制律采用PID控制,控制器的三个参数采用遗传算法进行调节。该框架具有层次化的优点,由于底层控制采用了PID控制,因此可以保证系统的可控性。在高级参数整定方面,采用遗传算法保证最优控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Algorithm PID Control of Second-Order Analog Circuit System
This paper is a practical paper, mainly focusing on the application of genetic algorithm in control. The controlled system is a second-order analog circuit system. This second-order analog circuit system is implemented with an operational amplifier and has the transfer function characteristics of a second-order system. Many control systems can be reduced to the model of the second-order system, so the control implementation of this second-order analog circuit system has its applications. Genetic algorithms were originally developed from some phenomena in genetic biology, including inheritance, mutation, natural selection, and hybridization. The main control law is to use PID control, and the three parameters of the controller are adjusted by the genetic algorithm. This framework has the advantage of hierarchy, because the low-level control uses PID control, so it can ensure that the system is controllable. As for high-level parameter tuning, genetic algorithm are used to ensure optimal control.
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