Regionless Explicit Model Predictive Control of Active Suspension Systems With Preview

Latest advances in road profile sensors make the implementation of preemptive suspension control a viable option for production vehicles. From the control side, model predictive control (MPC) in combination with preview is a powerful solution for this application. However, the significant computatio...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2020-06, Vol.67 (6), p.4877-4888
Main Authors: Theunissen, Johan, Sorniotti, Aldo, Gruber, Patrick, Fallah, Saber, Ricco, Marco, Kvasnica, Michal, Dhaens, Miguel
Format: Article
Language:English
Subjects:
Acceleration
Active control
Active suspension
Actuators
Automobile industry
Computational modeling
Computer simulation
Controllers
Frequency ranges
Optimization
Predictive control
Preempting
preview
regionless explicit model predictive control
ride comfort
Roads
Sport utility vehicles
Stability
Suspension systems
Suspensions (mechanical systems)
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Summary:Latest advances in road profile sensors make the implementation of preemptive suspension control a viable option for production vehicles. From the control side, model predictive control (MPC) in combination with preview is a powerful solution for this application. However, the significant computational load associated with conventional implicit model predictive controllers is one of the limiting factors to the widespread industrial adoption of MPC. As an alternative, this article proposes an explicit model predictive controller (e-MPC) for an active suspension system with preview. The MPC optimization is run offline, and the online controller is reduced to a function evaluation. To overcome the increased memory requirements, the controller uses the recently developed regionless e-MPC approach. The controller is assessed through simulations and experiments on a sport utility vehicle demonstrator with controllable hydraulic suspension actuators. For frequencies
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2019.2926056