Extension coordinated control of four wheel independent drive electric vehicles by AFS and DYC

Chen, Wuwei; Liang, Xiutian; Wang, Qidong; Zhao, Lian; Xiao, Wang

doi:10.1016/j.conengprac.2020.104504

Cited by 63 publications

(39 citation statements)

References 18 publications

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“…They have been used in the literature for implementing different controller to validate the effectiveness of vehicle control algorithms. 19,33–35 The full vehicle dynamic modeling software, CarSim is used here to model a full vehicle with a high fidelity. We choose the B-Class, hatchback from the CS B-Class as the full vehicle model in the CarSim.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

Autonomous vehicle path tracking control considering the stability under lane change

Chen

2021

Proceedings of the Institution of Mechanical Engineers, Part I:

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Considering that when a vehicle travels on a low friction coefficient road with high speed, the path tracking ability declines. To keep the performance of path tracking and improve the stabilization under that situation, this article presents approaches to estimate the parameters and control the vehicle. First, the key states of the vehicle and the road adhesion coefficient are estimated by the unscented Kalman filter. This is followed by applying the linear time-varying model-based predictive controller to achieve path tracking control, and the initial tire steering angle control rate is obtained. Finally, the steering angle compensation controller is simultaneously designed by a simple receding horizon corrector algorithm to improve vehicle stability when the path is tracked on a low-adhesion coefficient or at high speed. The performance of the proposed approach is evaluated by software CarSim and MATLAB/Simulink. Simulation results show that an improvement in the performance of path tracking and stabilization can be achieved by the integrated controller under the variable road adhesion coefficient condition and high speed with 110 km/h.

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Section: Simulation Results and Analysismentioning

confidence: 99%

Autonomous vehicle path tracking control considering the stability under lane change

Chen

2021

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…The hub motor drive electric vehicles have become research hotspots with its unique advantages. [6][7][8][9] However, the hub motor drive EV is affected by road surface 10 and motor noise 11,12 in practical application. Therefore, it is important to study the vertical dynamic characteristics of hub motor drive electric vehicle.…”

Section: Introductionmentioning

confidence: 99%

Vibration control of improved LQG for wheel drive electric vehicle based on uncertain parameters

Liu

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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To improve the ride comfort of wheel drive electric vehicle, a quarter dynamic model is established for vehicle active and passive suspension. Based on the response root mean square (RMS), the evaluation index of vehicle ride comfort is derived. According to the influence of uncertain parameters on system minimum RMS, the optimal vehicle parameters are determined. To avoid experience value of uncertain weight coefficient affecting the LQG control, analytic hierarchy process (AHP) is adopted to determine the weighting coefficient of vehicle performance evaluation index. And the LQG controller of vehicle active suspension is designed based on optimal control theory. Compared with the analysis results of passive suspension, the effectiveness of active control scheme is verified.

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“…Security and comfort are among the main priorities for automobiles. Hence, today's vehicles may include various sensors and actuators in order to ensure high performances [1][2][3]. Subsystems that can improve the performance of modern cars are active front steering (AFS), rear torque vectoring (RTV) [4][5][6][7], and active suspensions [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Digital sliding mode controllers for active control of ground vehicles

Lúa

Gennaro

Guzmán³

et al. 2021

Asian Journal of Control

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This paper aims at designing, in the discrete-time setting and using sliding mode techniques, some controllers ensuring the tracking of desired references of lateral and yaw velocities for a ground vehicle with active front steering and rear torque vectoring actuators. The vehicle is described by an enhanced discrete-time model, recently presented in the literature. These three controllers have been designed considering the modified equivalent control method for perturbation attenuation, the discrete-time-like super-twisting algorithm, and the discrete-time reaching law. They have been tested with a simulation study using CarSim, where the three controllers are compared under parametric variations, external perturbations, and different sampling periods.

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Extension coordinated control of four wheel independent drive electric vehicles by AFS and DYC

Cited by 63 publications

References 18 publications

Autonomous vehicle path tracking control considering the stability under lane change

Autonomous vehicle path tracking control considering the stability under lane change

Vibration control of improved LQG for wheel drive electric vehicle based on uncertain parameters

Digital sliding mode controllers for active control of ground vehicles

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