Open AccessHybrid Optimization Process Applied to Tuning of Dynamic Matrix Control: Study Case with DC Motor
Author(s) -
Douglas Freire de Carvalho,
Cleber A. Ganzaroli,
Luiz Alberto Do Couto,
Rafael Nunes Hidalgo Monteiro Dias,
Wesley P. Calixto
Publication year - 2017
Publication title -
transactions on environment and electrical engineering
Language(s) - English
Resource type - Journals
ISSN - 2450-5730
DOI - 10.22149/teee.v2i2.98
Subject(s) - control theory (sociology) , heuristic , controller (irrigation) , model predictive control , transient (computer programming) , optimization problem , computer science , optimal control , control engineering , dc motor , engineering , control (management) , mathematical optimization , mathematics , algorithm , artificial intelligence , agronomy , biology , operating system , electrical engineering
This paper presents study about Dynamic Matrix Control (DMC) controller applied to speed control of DC motor. DMC controller parameters (prediction horizon, control horizon and damping rate of reference) are obtained through optimization methods employing heuristic, deterministic and hybrid strategies. The use of advanced control technique combined with using of optimization methods aims to achieve highly efficient control, reducing the transient state period and variations in steady state. These methods were applied on a simulation model in order to verify which one provides better control results. Index Terms—Predictive Control, Deterministic Optimization, Heuristic Optimization, Hybrid Optimization, DC motor.