Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Research on Tractor Active Seat Suspension Based on Model Predictive Control

Version 1 : Received: 20 March 2023 / Approved: 21 March 2023 / Online: 21 March 2023 (01:21:21 CET)

A peer-reviewed article of this Preprint also exists.

Zhao, S.; Qu, G.; Liu, M.; Chen, X.; Gao, Z.; Xu, L. Research on Tractor Active Seat Suspension Based on Model Predictive Control. IEEE Access 2023, 1–1, doi:10.1109/access.2023.3320138. Zhao, S.; Qu, G.; Liu, M.; Chen, X.; Gao, Z.; Xu, L. Research on Tractor Active Seat Suspension Based on Model Predictive Control. IEEE Access 2023, 1–1, doi:10.1109/access.2023.3320138.

Abstract

In order to reduce the influence of ground vibration generated by tractor during driving and operation on driving stability and driver ride comfort, this paper proposes a control method of tractor active seat suspension based on model predictive control. By establishing a 3-degree of freedom tractor active seat suspension model and a ground excitation input model, a new model predictive controller for the active seat suspension system is designed. The vertical acceleration of the seat center of mass, the seat suspension stroke and the tire dynamic displacement are optimized by limiting the dynamic deflection of the seat suspension and the active force output of the actuator. The control model of MPC tractor active seat suspension system is built and its performance is simulated and verified. The results show that compared with the passive seat suspension and the PID seat suspension, the tractor active seat suspension based on model predictive control (MPC) has better damping characteristics and improves ride comfort.

Keywords

tractor; active seat suspension; MPC; vibration; ride comfort

Subject

Engineering, Automotive Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.