71047 20200117221626.0 doi 10.1109/TII.2017.2719940 sideral 104243 ART-2018-104243 eng Lucia, S. Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool 2018 Access copy available to the general public Unrestricted Model predictive control (MPC) is an optimization-based strategy for high-performance control that is attracting increasing interest. While MPC requires the online solution of an optimization problem, its ability to handle multivariable systems and constraints makes it a very powerful control strategy specially for MPC of embedded systems, which have an ever increasing amount of sensing and computation capabilities. We argue that the implementation of MPC on field programmable gate arrays (FPGAs) using automatic tools is nowadays possible, achieving cost-effective successful applications on fast or resource-constrained systems. The main burden for the implementation of MPC on FPGAs is the challenging design of the necessary algorithms. We outline an approach to achieve a software-supported optimized implementation of MPC on FPGAs using high-level synthesis tools and automatic code generation. The proposed strategy exploits the arithmetic operations necessaries to solve optimization problems to tailor an FPGA design, which allows a tradeoff between energy, memory requirements, cost, and achievable speed. We show the capabilities and the simplicity of use of the proposed methodology on two different examples and illustrate its advantages over a microcontroller implementation. info:eu-repo/grantAgreement/ES/DGA/FSE info:eu-repo/grantAgreement/ES/MINECO/TEC2016-78358-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 7.377 2018 AUTOMATION & CONTROL SYSTEMS 3 / 62 = 0.048 2018 Q1 T1 ENGINEERING, INDUSTRIAL 1 / 46 = 0.022 2018 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 4 / 106 = 0.038 2018 Q1 T1 1.678 2018 Computer Science Applications 2018 Q1 Information Systems 2018 Q1 Electrical and Electronic Engineering 2018 Q1 Control and Systems Engineering 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0002-0795-8743 Navarro, D. Universidad de Zaragoza (orcid)0000-0002-1284-9007 Lucia, O. Universidad de Zaragoza Zometa, P. Findeisen, R. 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 14, 1 (2018), 137-145 IEEE Trans. Ind. Inform. IEEE Transactions on Industrial Informatics 1551-3203 810809 http://zaguan.unizar.es/record/71047/files/texto_completo.pdf Postprint 121176 http://zaguan.unizar.es/record/71047/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:71047 articulos driver 2020-01-17-21:57:35 ARTICLE