Details

Autor(en) / Beteiligte

• Da, Lu
• Ying, Li
• Zheng, Gengle
• Sun, Mingyong
• Liang, Zhang

Titel

Design of mechanical chain drive based on particle swarm optimization

Ist Teil von

• 2022 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 2022, p.97-101

Ort / Verlag

IEEE

Erscheinungsjahr

2022

Quelle

IEL

Beschreibungen/Notizen

• In order to improve the control ability and guiding ability of the in-wheel motor steering transmission mechanical chain transmission, and to improve the transmission efficiency of the in-wheel motor steering transmission mechanical chain transmission, a control method of the in-wheel motor steering transmission mechanical chain transmission is proposed. First, build a model of the layered control architecture for the active gear alignment of the hub motor steering drive mechanical chain drive, and use the adaptive four-wheel torque optimization distribution method to realize the hub motor steering drive mechanical chain drive, the front wheel angle, and the additional yaw moment drive, and build the hub motor The space block tracking control law of the steering drive mechanical chain transmission adopts adaptive trajectory tracking and yaw stability coordinated adaptive control method to realize the mechanical chain transmission and spatial parameter identification of the wheel hub motor steering drive, and optimize the particle swarm through the combination of fuzzy tracking control The algorithm establishes a four-wheel torque optimal distribution model, optimizes the wheel hub motor steering drive mechanical chain transmission, so as to achieve path optimization and convergence control in the process of wheel hub motor steering drive mechanical chain transmission torque output control. The simulation results show that the method is robust and adaptive to the mechanical chain transmission control of the steering drive of the in-wheel motor.