Adaptive Sliding Mode Control of Lateral Stability of Four Wheel Hub Electric Vehicles

Some physical parameters of a hub motor-driven four-wheel electric vehicle will change when the vehicle turns or maneuvers and the parameter change is caused by the change of the driving conditions. An adaptive sliding mode control is proposed in this paper to maintain the vehicle’s stability by com...

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Bibliographic Details
Published inInternational journal of automotive technology Vol. 21; no. 3; pp. 739 - 747
Main Authors Li, Shou-Tao, Liu, Hui, Zhao, Di, Li, Qiu-Yuan, Tian, Yan-Tao, Wang, De-Jun, Yu, Ding-Li
Format Journal Article
LanguageEnglish
Published Seoul The Korean Society of Automotive Engineers 01.06.2020
Springer Nature B.V
한국자동차공학회
Subjects
Adaptive control
Automotive Engineering
Control stability
Convergence
Driving conditions
Electric vehicles
Engineering
Lateral stability
Maneuvers
Parameters
Physical properties
Sideslip
Simulation
Sliding mode control
Structural hierarchy
Yaw
자동차공학
Vehicle stability
Torque distribution
Electric vehicle
Adaptive sliding mode control
Parameter uncertainty
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Summary:Some physical parameters of a hub motor-driven four-wheel electric vehicle will change when the vehicle turns or maneuvers and the parameter change is caused by the change of the driving conditions. An adaptive sliding mode control is proposed in this paper to maintain the vehicle’s stability by compensating for the change of these parameters. The control parameter being adapted is the converging rate of the system state towards the sliding mode. As the Lyapunov method is used, so both the vehicle stability and adaptive rate convergence are guaranteed. Moreover, the hierarchical control structure is adopted for this vehicle stability control system. The above adaptive sliding model control forms the upper-layer; while the lower-layer control is to distribute the upper torque to the four wheels in an optimal way, subject to several constraints. In addition, the best feasible reference of the yaw rate and the vehicle side slip angle are obtained and used in the control system. The developed method is simulated under the CarSim/MATLAB co-simulation environment to evaluate the system performance. The simulation results are compared with the non-adaptive existing sliding mode control, and show that the proposed method is superior under different conditions.
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ISSN:1229-9138
1976-3832
DOI:10.1007/s12239-020-0072-1