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Longitudinal Disturbance Estimation and Motion Control of Intelligent Vehicles under Uncertain Influences
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Wei Jing1, Wenqiang Zhao1, Hongqian Wei1, Chenguang Lai3, Youtong Zhang1, 2
Automobile Technology | 2025, (5) : 11 - 21
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Automobile Technology | 2025, (5): 11-21
Longitudinal Disturbance Estimation and Motion Control of Intelligent Vehicles under Uncertain Influences
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Wei Jing1, Wenqiang Zhao1, Hongqian Wei1, Chenguang Lai3, Youtong Zhang1, 2
Affiliations
  • 1 School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081
  • 2 Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing 314000
  • 3 International Cooperation Joint Laboratory of Intelligent Manufacturing and Control of Key Components of Energy-Saving and New Energy Vehicles, Ministry of Education, Chongqing University of Technology, Chongqing 400054
Published: 2025-05-24 doi: 10.19620/j.cnki.1000-3703.20241068
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To mitigate the interference of external disturbances and environmental uncertainties and improve vehicle speed tracking accuracy, this study proposes a longitudinal motion controller that integrates a High Gain Extended State Observer (HGESO) with Model Predictive Control (MPC). First, the multi-source external uncertainties are consolidated into a stochastic time-varying resistance term in the speed control framework, which is estimated using the HGESO. This approach is combined with a nominal state-space model to enhance the description of vehicle longitudinal dynamics. Subsequently, an incremental MPC controller incorporating the estimated disturbance resistance is employed. This controller designs a multi-objective optimization function that simultaneously considers longitudinal speed tracking error, ride comfort, and energy consumption, ultimately solving for the optimal control input. Finally, precise calibration of the lower-level controller’s mapping table is performed to ensure accurate output of throttle and brake commands, thereby enhancing the controller’s real-time execution capability. Experimental results demonstrate significant improvements in speed tracking accuracy under challenging conditions: a 35%~61.54% enhancement is achieved on steep slopes, and a 26.3%~80.8% improvement is observed during continuous steering maneuvers. The proposed control strategy effectively eliminates the impact of external disturbances on vehicle longitudinal control.

Intelligent vehicles  /  Longitudinal motion control  /  External disturbance estimation  /  Uncertain influences  /  Model Predictive Control (MPC)
Wei Jing, Wenqiang Zhao, Hongqian Wei, Chenguang Lai, Youtong Zhang. Longitudinal Disturbance Estimation and Motion Control of Intelligent Vehicles under Uncertain Influences[J]. Automobile Technology, 2025 , (5) : 11 -21 . DOI: 10.19620/j.cnki.1000-3703.20241068
Year 2025 volume Issue 5
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Article Info
doi: 10.19620/j.cnki.1000-3703.20241068
  • Online Date:2025-11-14
  • Published:2025-05-24
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  • Revised:2025-01-21
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Affiliations
    1 School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081
    2 Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing 314000
    3 International Cooperation Joint Laboratory of Intelligent Manufacturing and Control of Key Components of Energy-Saving and New Energy Vehicles, Ministry of Education, Chongqing University of Technology, Chongqing 400054
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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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