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 driver model. An extended Kalman filter-based state
estimator is adopted to virtually measure the sideslip angle while 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.
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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 driver model. An extended Kalman filter-based state
estimator is adopted to virtually measure the sideslip angle while 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.
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基于驾驶员模型的独立驱动电动汽车转向失效容错控制
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 driver model. An extended Kalman filter-based state
estimator is adopted to virtually measure the sideslip angle while 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.