This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Comparison of Generalized Predictive Control Algorithms Using a Full Vehicle Multi-Body Dynamics Model
Technical Paper
2012-01-1932
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper discusses research conducted by the U.S. Army Research Laboratory (ARL) - Vehicle Technology Directorate (VTD) on advanced suspension control. ARL-VTD has conducted research on advanced suspension systems that will reduce the chassis vibration of ground vehicles while maintaining tire contact with the road surface. The purpose of this research is to reduce vibration-induced fatigue to the Warfighter as well as to improve the target aiming precision in-theater.
The objective of this paper was to explore the performance effectiveness of various formulations of the Generalized Predictive Control (GPC) algorithm in a simulation environment. Each version of the control algorithm was applied to an identical model subjected to the same ground disturbance input and compared to a baseline passive suspension system. The control algorithms considered include a GPC with Implicit Disturbances, GPC with Explicit Disturbances, and GPC with Preview Control. A two-axle tactical vehicle with independent front and rear suspensions was modeled in the TruckSim full-vehicle dynamics simulator. The control algorithms were compared based on their effectiveness in controlling peak acceleration and overall average acceleration over a range of vehicle speeds. The algorithms demonstrated significant reductions in the chassis acceleration and pitch of the full-vehicle model.
Recommended Content
Authors
Topic
Citation
Brown, R., Mazza, M., Le, D., and Murugan, M., "Comparison of Generalized Predictive Control Algorithms Using a Full Vehicle Multi-Body Dynamics Model," SAE Technical Paper 2012-01-1932, 2012, https://doi.org/10.4271/2012-01-1932.Also In
References
- Juang, J-N Eure, KW 1998 Predictive Feedback and Feedforward Control for Systems with Unknown Disturbances NASA Technical Memorandum, 1998-208744
- Kvaternik, RG Juang, J-N Bennett, RL 2000 Exploratory Studies in Generalized Predictive Control for Active Aeroelastic Control of Tiltrotor Aircraft NASA Technical Memorandum, 2000-210552
- Juang, J-N Phan, MQ 2001 Identification and Control of Mechanical Systems Cambridge University Press
- Kvaternik, RG Eure, KW Juang, J-N 2006 Exploratory Studies in Generalized Predictive Control for Active Gust Load Alleviation NASA Technical Memorandum, 2006-214296
- Juang, J-N 1994 Applied System Identification PTR Prentice Hall
- Bender, EK 1968 Optimum Linear Preview Control with Application to Vehicle Suspension AMSE Journal of Basic Engineering 90
- Van der Aa, MAH 1994 Control Concept for a Semi-Active Suspension with Preview Using a Continuously Variable Damper PhD thesis Eindhoven University of Technology
- El Madany, MM Abduljabbar, Z Foda, M 2003 Optimal Preview Control of Active Suspensions with Integral Constraint Journal of Vibration and Control 9 1377 1400