Abstract

To solve the problems with the existing active fault-tolerant control system, which does not consider the cooperative control of the drive system and steering system or accurately relies on the vehicle model when one or more motors fail, a multi-input and multi-output model-free adaptive active fault-tolerant control method for four-wheel independently driven electric vehicles is proposed. The method, which only uses the input/output data of the vehicle in the control system design, is based on a new dynamic linearization technique with a pseudo-partial derivative, aimed at solving the complex and nonlinear issues of the vehicle model. The desired control objectives can be achieved by the coordinated adaptive fault-tolerant control of the drive and steering systems under different failure conditions of the drive system. The error convergence and input-output boundedness of the control system are proven by means of stability analysis. Finally, simulations and further experiments are carried out to validate the effectiveness and real-time response of the fault-tolerant system in different driving scenarios. The results demonstrate that our proposed approach can maintain the longitudinal speed error (within 3%) and lateral stability, thereby improving the safety of the vehicles.

Highlights

  • The four-wheel independently driven (4WID) electric vehicle is regarded as a promising vehicle architecture owing to its potential in the reduction of emissions and fuel consumption

  • The proposed method of the multiple-input and multiple-output (MIMO)-MFA active fault-tolerant control system does not rely on accurate vehicle model information and only utilizes MIMO system information, which avoids the characteristics of complex vehicle models, such as nonlinearity and strong coupling, that may cause problems in the control system design

  • The proposed MIMO-MFA active fault-tolerant control method is validated by means of joint simulation of MATLAB/Simulink and CarSim and an SUV vehicle model of CarSim is selected for the simulation verification

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Summary

Introduction

The four-wheel independently driven (4WID) electric vehicle is regarded as a promising vehicle architecture owing to its potential in the reduction of emissions and fuel consumption. Li and other researchers from the Beijing Jiaotong University proposed the adaptive fault-tolerant tracking method for 4WID electric vehicles in the presence of uncertain vehicle dynamics and actuator failure [14] but this method does not consider the coordinated control of the drive and steering systems when the actuator fails. (1) The MIMO-MFA active fault-tolerant control method can realize cooperative fault-tolerant control of the drive and steering systems under different failure conditions of 4WID electric vehicles, avoiding the limit condition and using only a single actuator, such as the drive system or steering system, for fault-tolerant control, making it extremely easy to exceed the workload This results in failure to complete fault-tolerant control successfully; (2) The control system design does not rely on an accurate system model; it only uses the I/O data to solve the complex, nonlinear and uncertain effects of the vehicle system.

Architecture
MFA Fault-Tolerant Control System Scheme
Tracking Error Convergence Proof
Bounded-Input Bounded-Output Proof
Simulation and Experiment
Simulation Verification
Experimental Verification
Special
Conclusions
Full Text
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