A Co-Processor FPGA Platform for the Implementation of Real-Time Model Predictive Control
| Citations: | 8 - 0 self |
BibTeX
@MISC{Bleris_aco-processor,
author = {Leonidas G. Bleris and Panagiotis D. Vouzis and Mark G. Arnold and Mayuresh V. Kothare},
title = {A Co-Processor FPGA Platform for the Implementation of Real-Time Model Predictive Control},
year = {}
}
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Abstract
Abstract — In order to effectively control nonlinear and multivariable models, and to incorporate constraints on system states, inputs and outputs (bounds, rate of change), a suitable (sometimes necessary) controller is Model Predictive Control (MPC). MPC is an optimization-based control scheme that requires abundant matrix operations for the calculation of the optimal control moves. In this work we propose a mixed software and hardware embedded MPC implementation. Using a codesign step and based on profiling results, we decompose the optimization algorithm into two parts: one that fits into a host processor and one that fits into a custom made unit, that performs the computationally demanding arithmetic operations. The profiling results and information on the coprocessor design are provided. I.
