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

Nguyen, Tuan Anh; Iqbal, Jamshed

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.

Citation

Nguyen, T. A., & Iqbal, J. (2024). Improving stability and adaptability of automotive electric steering systems based on a novel optimal integrated algorithm. Engineering Computations, 41(4), 991-1034. https://doi.org/10.1108/EC-10-2023-0675

• Journal Article Type: Article
• Acceptance Date: May 15, 2024
• Online Publication Date: Jun 4, 2024
• Publication Date: Jun 13, 2024
• Deposit Date: May 15, 2024
• Publicly Available Date: Jun 4, 2024
• Journal: Engineering Computations
• Electronic ISSN: 0264-4401
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• Volume: 41
• Issue: 4
• Pages: 991-1034
• DOI: https://doi.org/10.1108/EC-10-2023-0675
• Keywords: Electric steering system; FPIDSMC-GA; Intelligent optimal integrated control; Motor angle
• Public URL: https://hull-repository.worktribe.com/output/4666911