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Simplified Derivation of Vehicle Models for Lane-Keeping Model Predictive Control and Simulation Analysis
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Yueqi Luo, Qiang Wei, Kai Yue
Automotive Engineer | 2024, (5) : 26 - 32
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Automotive Engineer | 2024, (5): 26-32
Special Issue on Intelligent Vehicle Motion Control and Advanced Control Algorithms
Simplified Derivation of Vehicle Models for Lane-Keeping Model Predictive Control and Simulation Analysis
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Yueqi Luo, Qiang Wei, Kai Yue
Affiliations
  • SAIC Motor Corporation Limited, Shanghai 201804
Published: 2024-05-15 doi: 10.20104/j.cnki.1674-6546.20230149
Outline
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To improve calculation efficiency of lane-keep control algorithm, a Model Predictive Control (MPC) algorithm for lane-keeping was constructed. A single-rail vehicle model was derived based on rigid body dynamics. The standard vehicle model was based on rigid body dynamics and considered lateral and longitudinal tire force characteristic. Based on that, a simplified vehicle model was derived by assuming zero slip angle and slip ratio. The simplified model formulated yaw rate using linear equations and eliminated the tire model, thereby reducing the complexity of the constraint equations in the MPC. Considering the tracking error, control input, and the cost item of its change rate as the objective function, the control effect of standard vehicle model and simplified vehicle model were compared and analyzed. The results show that the simplified vehicle model achieves similar control performances to the standard model in lane-keeping MPC and avoids the problem of being unable to solve the tire model when the vehicle speed is close to zero. Additionally, the simplified model significantly reduces the computational time required for MPC optimization.

Model Predictive Control (MPC)  /  Vehicle model  /  Lane-keeping
Yueqi Luo, Qiang Wei, Kai Yue. Simplified Derivation of Vehicle Models for Lane-Keeping Model Predictive Control and Simulation Analysis[J]. Automotive Engineer, 2024 , (5) : 26 -32 . DOI: 10.20104/j.cnki.1674-6546.20230149
Year 2024 volume Issue 5
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Article Info
doi: 10.20104/j.cnki.1674-6546.20230149
  • Online Date:2025-11-25
  • Published:2024-05-15
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  • Revised:2024-01-07
Affiliations
    SAIC Motor Corporation Limited, Shanghai 201804
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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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