基于遗传算法的PID控制器控制四分之一汽车悬架系统的有效性

Zineb. B, Abdelaziz. A, Kheireddine. Ch
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引用次数: 3

摘要

本文的目的是提高汽车主动悬架系统的性能(四分之一模型),有两个自由度,组件和机制确保乘客的舒适性和行车安全,稳定和性能通常取决于悬架的质量,这就是为什么汽车制造商转向可调悬架可以适应任何类型的路面,因为它控制车轮的垂直运动。在这项工作中,我们展示了比例积分微分(PID)控制器如何通过使用Ziegler Nichols和遗传算法(GA)两种方法进行调谐,以实现良好的主动悬架系统性能。仿真结果表明,遗传算法(GA)在提供良好的乘坐质量和良好的道路处理方面具有鲁棒性和有效性,但是存在时间延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiency of PID Controller Based on Genetic Algorithm for controlling a Quarter Car Suspension System
the purpose of this paper is to improve the performance of a car's active suspension system (a quarter model), with two degrees of freedom , a combination of components and mechanisms ensure both passengers' comfort and driving safety, the stability and ride performance depends generally on the quality of the suspension , and this is why car manufacturers are turning to an adjustable suspension that can be adapted to any type of road surface as it controls vertical movement for car wheels. In this work we show how proportional integral differential (PID) controller tuned by using two methods, Ziegler Nichols and genetic algorithms (GA) can used to achieve a good performance of the active suspension system, The simulation results show the robustness and effectiveness of genetic algorithm (GA) in providing good ride quality and good road handling, however the presence of a time delay.
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