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Dynamic Modeling and Model Predictive Control of Distributed Electric Drive Bearing Platforms
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Ye Yuan1, Long Chen2, Wei Pan2, Yi Li1, Zhaobo Qin2
Automobile Technology | 2025, (3) : 46 - 55
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Automobile Technology | 2025, (3): 46-55
Special Topic on Multimodal Information Monitoring and Recognition Technologies for Human Factors in Intelligent Driving
Dynamic Modeling and Model Predictive Control of Distributed Electric Drive Bearing Platforms
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Ye Yuan1, Long Chen2, Wei Pan2, Yi Li1, Zhaobo Qin2
Affiliations
  • 1 China Automotive Engineering Research Institute Co., Ltd, Chongqing 401122
  • 2 College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082
Published: 2025-03-24 doi: 10.19620/j.cnki.1000-3703.20240594
Outline
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Aiming at the issues of low high-speed tracking accuracy and weak robustness in the trajectory tracking control of distributed electric drive bearing platforms, a hierarchical lateral motion control strategy based on desired front wheel angle tracking is designed. Taking the distributed electric drive bearing platform as the research object, a comprehensive dynamic model integrating rubber wheels, vehicle body, and electric drive modules is constructed based on the dynamic analysis of each subsystem and the interaction relationship between the wheels and the ground. By constructing a hierarchical motion control strategy with upper-level Model Predictive Control (MPC) trajectory tracking and lower-level steering motor angle control, high-precision control of the platform’s lateral position can be achieved. A holistic dynamic simulation model of the bearing platform is built using Simulink. The simulation results show that the lateral motion control strategy designed in this research can achieve multi-scenario trajectory tracking with high precision at various speeds. Compared with the sliding mode controller, the control accuracy of this strategy is improved by 33%, and the control stability is significantly enhanced.

Distributed electric drive bearing platform  /  Dynamic modeling  /  Model predictive control  /  Sliding mode control  /  Trajectory tracking
Ye Yuan, Long Chen, Wei Pan, Yi Li, Zhaobo Qin. Dynamic Modeling and Model Predictive Control of Distributed Electric Drive Bearing Platforms[J]. Automobile Technology, 2025 , (3) : 46 -55 . DOI: 10.19620/j.cnki.1000-3703.20240594
Year 2025 volume Issue 3
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doi: 10.19620/j.cnki.1000-3703.20240594
  • Online Date:2025-11-18
  • Published:2025-03-24
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  • Revised:2024-09-20
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    1 China Automotive Engineering Research Institute Co., Ltd, Chongqing 401122
    2 College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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