Sensitivity-based multistep MPC for embedded systems

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Title: Sensitivity-based multistep MPC for embedded systems
Authors: Palma, V
Suardi, A
Kerrigan, EC
Item Type: Conference Paper
Abstract: In model predictive control (MPC), an optimization problem is solved every sampling instant to determine an optimal control for a physical system. We aim to accelerate this procedure for fast systems applications and address the challenge of implementing the resulting MPC scheme on an embedded system with limited computing power. We present the sensitivity-based multistep MPC, a strategy which considerably reduces the computing requirements in terms of floating point operations (FLOPs), compared to a standard MPC formulation, while fulfilling closed- loop performance expectations. We illustrate by applying the method to a DC-DC converter model and show how a designer can optimally trade off closed-loop performance considerations with computing requirements in order to fit the controller into a resource-constrained embedded system.
Issue Date: 17-Dec-2015
Date of Acceptance: 19-Jun-2015
ISSN: 1474-6670
Publisher: Elsevier
Start Page: 360
End Page: 365
Journal / Book Title: IFAC Proceedings Volumes (IFAC-PapersOnline)
Volume: 48
Issue: 23
Copyright Statement: © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Conference Name: 5th IFAC Conference on Nonlinear Model Predictive Control 2015 (NMPC'15)
Publication Status: Published
Start Date: 2015-09-17
Finish Date: 2015-09-20
Conference Place: Seville, Spain
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

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