MPC-based fault tolerant control system for yaw stability of distributed drive electric vehicle

EasyChair Preprint 1486

Abstract

Usually, the yaw stability of distributed drive electric vehicle (DDEV) is hard to be guaranteed effectively, because the yaw performance is affected by the actuator and sensor faults, as well as system modelling error. To attenuate the effect of these faults, a novel model predictive controller-based fault tolerant control system (MPC-FTCS) is proposed in this work. The MPC-FTCS consists of two MPCs. In one MPC, the sensor fault and system modelling error can be tolerated by the linear quadratic regulation (LQR) design. Another MPC is designed as an observer to estimate and compensate for the actuator fault. The proposed MPC-FTCS is evaluated on the Matlab simulation platform and simulation results show the benefits of the proposed control system.

Keyphrases: Distributed drive electric vehicle, Fault Tolerant, Model Predictive Control, Yaw stability

@booklet{EasyChair:1486,
  author    = {Ke Shi and Xiaofang Yuan},
  title     = {MPC-based fault tolerant control system for yaw stability of distributed drive electric vehicle},
  howpublished = {EasyChair Preprint 1486},
  year      = {EasyChair, 2019}}