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Vehicle Yaw Stability Control Based on Multi-agent Model Prediction Control
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Kefan Zhao1, 2, Xiaofei Pei1, 2, Zhenfu Chen1, 2, Hongbo Xiang1, 2
Automotive Engineering | 2025, 47(3) : 481 - 488
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Automotive Engineering | 2025, 47(3): 481-488
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Vehicle Yaw Stability Control Based on Multi-agent Model Prediction Control
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Kefan Zhao1, 2, Xiaofei Pei1, 2, Zhenfu Chen1, 2, Hongbo Xiang1, 2
Affiliations
  • 1 School of Automotive Engineering,Wuhan University of Technology,Wuhan 430070
  • 2 Wuhan University of Technology,Hubei Key Laboratory of Modern Auto Parts,Wuhan 430070
Published: 2025-03-25 doi: 10.19562/j.chinasae.qcgc.2025.03.010
Outline
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With the rapid development of automotive active safety technology, the chassis electronic control unit of modern electric vehicles has seen explosive growth. In order to improve the realtime performance and accuracy of chassis active safety control, for the rapid growth of chassis electronic control units and the coupling conflict problems of low integration degree of control system and multiobjective cooptimization, in this paper firstly a chassis system integration control architecture based on multiagent is established, and a hierarchical control system integrating the front and rear wheels' active steering system and the differential braking control system is proposed. Secondly, based on this, the state equations of each agent and its contribution to the vehicle's center of mass model are established and combined with the model predictive control to consider the characteristics of constraints. The cost function containing global state tracking error and local control effort is designed considering both the actuator constraints and the ground friction ellipse constraints. Finally, each agent realizes its collaborative control through the interaction of dynamic information of its respective contribution. The results show that the vehicle stability control method based on multiagent model prediction proposed in this paper has obvious improvement in terms of traverse stability compared with independent control of each active safety unit under the driving conditions of high and low road attachment and large curvature curves, which has certain value for engineering application.

multi-agent  /  model predictive control  /  stability control  /  active steering  /  differential braking
Kefan Zhao, Xiaofei Pei, Zhenfu Chen, Hongbo Xiang. Vehicle Yaw Stability Control Based on Multi-agent Model Prediction Control[J]. Automotive Engineering, 2025 , 47 (3) : 481 -488 . DOI: 10.19562/j.chinasae.qcgc.2025.03.010
Year 2025 volume 47 Issue 3
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Article Info
doi: 10.19562/j.chinasae.qcgc.2025.03.010
  • Receive Date:2024-05-20
  • Online Date:2025-07-09
  • Published:2025-03-25
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History
  • Received:2024-05-20
  • Revised:2024-09-16
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    1 School of Automotive Engineering,Wuhan University of Technology,Wuhan 430070
    2 Wuhan University of Technology,Hubei Key Laboratory of Modern Auto Parts,Wuhan 430070
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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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