Journal
ISA TRANSACTIONS
Volume 53, Issue 5, Pages 1501-1515Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2014.06.007
Keywords
Model Predictive Control; Sliding Mode; Particle Swarm Optimization; Soft computing; Robustness
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Funding
- CAPES-Brazil
- Science without Borders program [2485-13-3]
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This work presents an automatic tuning method for the discontinuous component of the Sliding Mode Generalized Predictive Controller (SMGPC) subject to constraints. The strategy employs Particle Swarm Optimization (PSO) to minimize a second aggregated cost function. The continuous component is obtained by the standard procedure, by Quadratic Programming (QP), thus yielding an online dual optimization scheme. Simulations and performance indexes for common process models in industry, such as nonminimum phase and time delayed systems, result in a better performance, improving robustness and tracking accuracy. (C) 2014 ISA. Published by Elsevier Ltd. All rights reserved.
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