Controller Design for Electrohydraulic Actuator of Heavy-Duty Automatic Transmission Using Model Predictive Control Algorithm

High-quality shifting is an inelastic demand for the automotive industry, and it is worth exploring the design of controllers that can shift precisely according to the planned shifting strategy. This article proposes a dynamic model of the automatic transmission (AT) up/downshift process, and the transfer function based on pressure is first given. The model was verified by comparing it with the experimentally obtained fluid pressure. Subsequently, a pressure control strategy suitable for heavy-duty AT shifting was explored by establishing a model predictive controller with pressure feedback control. Meanwhile, a Kalman filter-based observer was designed to solve the inconvenient installation of internal sensors. Finally, the proposed control model was optimized using a multiobjective genetic algorithm for the controller. The simulation results indicate that the proposed control strategy can be applied to heavy-duty vehicles for improving the shift quality.

• Record URL:
  • https://doi.org/10.1109/TTE.2023.3249164
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23327782
• Supplemental Notes:
  • Copyright © 2023, IEEE.
• Authors:
  • Ouyang, Tiancheng
  • 0000-0001-6379-7115
  • Lu, Yucai
  • Cheng, Liang
  • Wang, Jinxiang
• Publication Date: 2023-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 5232-5243
• Serial:
  • IEEE Transactions on Transportation Electrification
  • Volume: 9
  • Issue Number: 4
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 2332-7782
  • Serial URL: http://ieeexplore.ieee.org/servlet/opac?punumber=6687316

Subject/Index Terms

• TRT Terms: Automatic transmissions; Electrohydraulic mechanisms; Electronic controllers; Equipment design; Heavy duty vehicles; Kalman filtering
• Identifier Terms: Model Predictive Control
• Subject Areas: Design; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01906595
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 31 2024 9:14AM