Development of a new traction control system using ant colony optimization. (August 2018)

• Record Type: Journal Article
• Authors: Jin, Liqiang; Ling, Mingze; Li, Jianhua
• Is Part Of: Advances in mechanical engineering. Volume 10:Number 8(2018)
• Publication Date: 2018-08
• Subjects: Vehicle engineering -- ant colony optimization -- traction control system -- parameter optimization -- automotive control; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/1687814018792152
• Languages: English
• ISSNs: 1687-8132

Abstract

An advanced traction control system can help limit wheel rotation and enhance vehicle stability. This article presents a new traction control system under complicated situations, including the low slippery road surface and split-µ road surface. First, a 15-degree-of-freedom nonlinear vehicle dynamics simulation model is established. Then, the driving wheel speed is regulated by adjusting the engine torque and the wheel brake pressure. The engine torque regulation is based on a proportional–integral–derivative plus ant colony optimization controller, and the wheel brake pressure regulation is based on a proportional–integral plus ant colony optimization controller. Finally, the proposed strategies are applied to simulation and road tests. Results indicate that the algorithm exhibits high control accuracy and robust performance. Compared with the traditional proportional–integral–derivative controller, the proposed strategies improve vehicle acceleration performance and stability.