This paper presents a fault-tolerant control(FTC)strategy for a four-wheel independent driving electric vehicle suffering steering failure.The method is based on the functional redundancy of driving and braking actuat...This paper presents a fault-tolerant control(FTC)strategy for a four-wheel independent driving electric vehicle suffering steering failure.The method is based on the functional redundancy of driving and braking actuators to recover the vehicle’s steering ability.A dynamic vehicle model is derived with the function of four-wheel driving.A sliding mode controller with a combined sliding surface is employed as a motion controller,allowing the desired vehicle motion to be tracked by the adaptive drivermodel.An extended Kalman filter-based state estimator is adopted to virtually measure the sideslip anglewhile considering the nonlinear tire force.A new allocation strategy,involving two distribution modes of coordination,is designed.In addition,a weight coefficient adjustment strategy is implemented in optimal mode based on the lateral load transfer,thus improving the steering performance.Simulations are conducted to verify the proposed FTC algorithm.The results demonstrate that steering failure can be effectively covered by the functional redundancy of the driving/braking actuators.展开更多
基金The work was supported by the National Science Foundation of China(51675066)Chongqing Research Program of Basic Research and Frontier Technology(cstc2017jcyjAX0323)Shanghai Aerospace Science and Technology Innovation Foundation(SAST201016).
文摘This paper presents a fault-tolerant control(FTC)strategy for a four-wheel independent driving electric vehicle suffering steering failure.The method is based on the functional redundancy of driving and braking actuators to recover the vehicle’s steering ability.A dynamic vehicle model is derived with the function of four-wheel driving.A sliding mode controller with a combined sliding surface is employed as a motion controller,allowing the desired vehicle motion to be tracked by the adaptive drivermodel.An extended Kalman filter-based state estimator is adopted to virtually measure the sideslip anglewhile considering the nonlinear tire force.A new allocation strategy,involving two distribution modes of coordination,is designed.In addition,a weight coefficient adjustment strategy is implemented in optimal mode based on the lateral load transfer,thus improving the steering performance.Simulations are conducted to verify the proposed FTC algorithm.The results demonstrate that steering failure can be effectively covered by the functional redundancy of the driving/braking actuators.
