Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool
| Autor: | Oscar Lucia, Denis Navarro, Sergio Lucia, Rolf Findeisen, Pablo Zometa |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Optimization problem business.industry Computer science Multivariable calculus 020208 electrical & electronic engineering 02 engineering and technology Computer Science Applications Microcontroller Model predictive control 020901 industrial engineering & automation Control and Systems Engineering High-level synthesis Embedded system 0202 electrical engineering electronic engineering information engineering Algorithm design Code generation Electrical and Electronic Engineering Field-programmable gate array business Hardware_REGISTER-TRANSFER-LEVELIMPLEMENTATION Information Systems |
| Zdroj: | Zaguán. Repositorio Digital de la Universidad de Zaragoza instname |
| ISSN: | 1941-0050 1551-3203 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|