A Human-Vehicle Game Stability Control Strategy Considering Drivers’ Steering Characteristics | IEEE Journals & Magazine | IEEE Xplore

A Human-Vehicle Game Stability Control Strategy Considering Drivers’ Steering Characteristics


Abstract:

In order to explore the nature of the human-vehicle game problem and analyze the torque-angle interaction between the two agents, i.e. the driver and advanced driver assi...Show More

Abstract:

In order to explore the nature of the human-vehicle game problem and analyze the torque-angle interaction between the two agents, i.e. the driver and advanced driver assistance system (ADAS), a human-vehicle game stability control strategy based on Nash negotiation principle is proposed. First a six-order vehicle dynamic model, a driver neuromuscular (NMS) model, etc., are set up to simulate drivers’ steering characteristics and vehicles’ response to the input of the two agents and external disturbance. Secondly, several significant parameters in NMS model are recognized, and an active rear steering (ARS) controller is designed using the sliding mode variable structure algorithm. Then, the Nash negotiation solution is worked out according to Nash negotiation principle, and a self-tuning method for the weight of ARS controller is put forward employing the fuzzy control theory. Finally simulations are carried out under the standard double-lane change maneuver. The results indicate that the stability control strategy proposed in this paper can effectively solve the game problem and achieve good vehicular stability control performance.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 22, Issue: 11, November 2021)
Page(s): 7306 - 7316
Date of Publication: 28 July 2020

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