Integrated control of electric power steering and active suspension systems based on model predictive algorithm

Article type: Research Article

Authors: Zhao, Qiang^a; | Zhu, Baoquan^a | Pei, Yulong^a | Wang, Na^a

Affiliations: [a] School of Traffic and Transportation, Northeast Forestry University, Harbin, China

Correspondence: [*] Corresponding author: Qiang Zhao, Northeast Forestry University Harbin, Heilongjiang, China. E-mail: zhaoqiang@nefu.edu.cn

Abstract: This paper investigates how to control suspension system and steering system to cooperatively ensure their performance. A model predictive controller is designed for their integrated model, which includes three parts: predictive model, rolling optimization and online correction. Repeated online optimization is based on actual output feedback information, real-time consideration of the impact of uncertainties, and timely correction. The simulation results show that the integrated model predictive control effect of steering system and suspension system is better than those of non-integrated passive control and integrated optimal control. The ride comfort, handling stability and driving safety of the vehicle are all improved with the integrated model predictive control.

Keywords: Integrated control, model predictive algorithm, electric power steering, active suspension

DOI: 10.3233/JAE-201519

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 65, no. 4, pp. 681-701, 2021