Implementation Aspects of Embedded MPC with Fast Gradient Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43872320" target="_blank" >RIV/70883521:28140/14:43872320 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Implementation Aspects of Embedded MPC with Fast Gradient Method
Original language description
In this paper we investigate the use of the Model Predictive Control (MPC) technique on a low power embedded computing platform. The control approach uses a quadratic optimization problem to compute the optimal control signal. The problem is solved subject to a linear model of the system and the physical limitations of the system. The optimization problem is solved online using the Fast Gradient method. The proposed controller has been implemented on a Stellaris Launchpad board with ARM Cortex processor. By means of two simulation studies we detail the software and the hardware aspects concerning a fast real-time MPC implementation. In the first example linear MPC is used for stabilization of a quadrotor model. In the second example nonlinear pH neutralization plant is controlled using fuzzy MPC algorithm.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Circuits, Systems and Signal Processing
ISSN
1998-4464
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
504-511
UT code for WoS article
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EID of the result in the Scopus database
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