基于遗传算法的小型无人直升机纵向控制PID参数优化

Zhao Ping, Du Chao, Yu Zhou
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引用次数: 5

摘要

PID控制作为控制系统中常用的一种控制方法,目前在许多实际应用过程中仍采用这种控制方法。本文主要讨论了经典的PID整定方法,并在此方法的基础上,引入遗传算法的思想,实现了小型无人直升机纵向PID控制参数的优化。采用遗传算法可以保证控制系统的性能。仿真结果与经典PID整定方法的比较表明,采用遗传算法设计的PID控制器具有更好的灵活性,可以获得更好的控制效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small unmanned helicopter longitudinal control PID parameter optimization based on genetic algorithm
The PID control as a popularly control method that is used in the control system, this control method is still adopted in many practical applications of the process currently. The paper mainly discusses the classical PID tuning methods, and on the basis of the method, which achieve a small unmanned helicopter longitudinal PID control parameters optimization by introducing the idea of genetic algorithm. The performance of control system is assured when adopting genetic algorithms. The simulation results comparing with the classical PID tuning methods shows that PID controller that is designed with genetic algorithms is better flexibility, and can obtain the better control effect.
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