Improving stability and adaptability of automotive electric steering systems based on a novel optimal integrated algorithm

IF 1.5 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Tuan Anh Nguyen, Jamshed Iqbal
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引用次数: 0

Abstract

Purpose

Design a novel optimal integrated control algorithm for the automotive electric steering system to improve the stability and adaptation of the system.

Design/methodology/approach

Simulation and calculation.

Findings

The output signals follow the reference signal with high accuracy.

Originality/value

The optimal integrated algorithm is established based on the combination of PID and SMC. The parameters of the PID controller are adjusted using a fuzzy algorithm. The optimal range of adjustment values is determined using a genetic algorithm.

基于新型优化集成算法提高汽车电动转向系统的稳定性和适应性
目的为汽车电动转向系统设计一种新颖的优化集成控制算法,以提高系统的稳定性和适应性。使用模糊算法调整 PID 控制器的参数。利用遗传算法确定了最佳调整值范围。
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来源期刊
Engineering Computations
Engineering Computations 工程技术-工程:综合
CiteScore
3.40
自引率
6.20%
发文量
61
审稿时长
5 months
期刊介绍: The journal presents its readers with broad coverage across all branches of engineering and science of the latest development and application of new solution algorithms, innovative numerical methods and/or solution techniques directed at the utilization of computational methods in engineering analysis, engineering design and practice. For more information visit: http://www.emeraldgrouppublishing.com/ec.htm
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