scholarly journals An Electronic Line-Shafting Control Strategy Based on Sliding Mode Observer for Distributed Driving Electric Vehicles

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 38221-38235
Author(s):  
Hao Huang ◽  
Qunzhang Tu ◽  
Chengming Jiang ◽  
Ming Pan ◽  
Changlin Zhu
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Electronic Line

scholarly journals An Improved Electronic Line Shafting Control for Multimotor Drive System Based on Sliding Mode Observer

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Qiang Geng ◽  
Wei Liu ◽  
Huimin Wang ◽  
Zhanqing Zhou ◽  
Guozheng Zhang
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Sliding Mode ◽  
Drive System ◽  
Sliding Mode Observer ◽  
Experimental Results ◽  
Reaching Law ◽  
Electronic Line ◽  
Model Observers ◽  
Exponential Reaching Law

As the computation delays between the reference torques and the load torques, the speed and position synchronous errors of the multimotor drive system employed traditional electronic line shafting (ELS) control would become significant during the process of large load disturbances. Therefore, an improved ELS control strategy is proposed in this paper. In this strategy, the load torques observed by the sliding model observers are fed back to the virtual motor directly, so as to shorten the adjusting time and improve the antidisturbance performance of entire control system. Meanwhile, to reduce the chattering of the sliding mode observer, a novel exponential reaching law is designed in this paper. The experimental results show that the improved ELS control strategy could reduce the speed and position synchronous errors effectively.

scholarly journals Research on a Sliding Mode Vector Control System Based on Collaborative Optimization of an Axial Flux Permanent Magnet Synchronous Motor for an Electric Vehicle

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3116 ◽  
Author(s):  
Jianfei Zhao ◽  
Minqi Hua ◽  
Tingzhang Liu
Keyword(s):  
Control System ◽  
Vector Control ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Sliding Mode ◽  
Mode Conversion ◽  
Permanent Magnet Synchronous Motor ◽  
Collaborative Optimization ◽  
Axial Flux ◽  
Vector Control System

In this paper, a sliding mode vector control system based on collaborative optimization of an axial flux permanent magnet synchronous motor (AFPMSM) for an electric vehicle is proposed. In order to increase the high efficiency range of electric vehicles and improve the cruising range, a collaborative optimization control strategy is firstly proposed. Due to the use of a dual stator-single rotor AFPMSM, the multi-motor efficiency optimization map and torque cooperative control are used to realize the working mode conversion of single stator and double stator, and the torque ripple caused by the working mode conversion is improved by fuzzy control. In order to improve the torque tracking capability, speed limiting characteristics, and operating characteristics, a speed limit and current vector control strategy based on a sliding mode controller is proposed and studied. The dynamic performance of electric vehicles is improved by a sliding mode vector control. Finally, a drive control system was developed for the proposed control strategy, and the complete vehicle test was carried out. The collaborative optimization control experiment and torque tracking and speed limiting experiments verify the correctness and effectiveness of the proposed control strategy. The acceleration performance and endurance experiments show that the proposed control strategy can effectively improve the cruising range and the acceleration performance of electric vehicles.

scholarly journals Trajectory Tracking Control of Intelligent Electric Vehicles Based on the Adaptive Spiral Sliding Mode

2021 ◽  
Vol 11 (24) ◽  
pp. 11739
Author(s):  
Yanxin Nie ◽  
Minglu Zhang ◽  
Xiaojun Zhang
Keyword(s):  
Electric Vehicles ◽  
Trajectory Tracking ◽  
Control Strategy ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Lateral Deviation ◽  
Distribution Method ◽  
Tire Force ◽  
Tracking Model ◽  
Vehicle Trajectory

Aiming at the multi-objective control problem of the tracking effect and vehicle stability in the process of intelligent vehicle trajectory tracking, a coordinated control strategy of the trajectory tracking and stability of intelligent electric vehicles is proposed based on the hierarchical control theory. The vehicle dynamics model and trajectory tracking model are established. In order to tackle the chattering problem in the traditional sliding mode controller, an Adaptive Spiral Sliding Mode controller is designed by taking the derivative of the controller as the upper controller, which is intended to reduce the heading deviation and lateral deviation in the trajectory tracking process whilst ensuring the stability of the vehicle itself. In the lower controller, a four-wheel tire force optimal distribution method is designed. According to the requirements of the upper controller, combined with the yaw stability of the vehicle, the directional control distribution of the four-wheel tire force is realized. A joint simulation model was built based on CarSim and Simulink, and simulation experiments were performed. The results show that the proposed control strategy can effectively control the heading deviation and lateral deviation in the vehicle trajectory tracking while ensuring the lateral stability of the vehicle.

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