Multiobjective Fuzzy-Decision-Making Predictive Torque Control for an Induction Motor Drive

In the recent years, the use of model predictive control in electrical drives has been widely reported both theoretically and experimentally. Predictive torque control has been developed to control induction motor drives, allowing high performance and fast dynamics. However, the optimization used in...

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Bibliographic Details
Published in:IEEE transactions on power electronics 2017-08, Vol.32 (8), p.6245-6260
Main Authors: Rojas, Christian A., Rodriguez, Jose R., Kouro, Samir, Villarroel, Felipe
Format: Article
Language:English
Subjects:
Cost function
Decision making
Fuzzy control
fuzzy sets
Fuzzy systems
Induction motor drives
Induction motors
Minimization
Multiple objective analysis
Optimization
Predictive control
Stators
Torque
Torque control
variable speed drives
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Summary:In the recent years, the use of model predictive control in electrical drives has been widely reported both theoretically and experimentally. Predictive torque control has been developed to control induction motor drives, allowing high performance and fast dynamics. However, the optimization used in predictive torque control is based on a single cost function minimization, where control objectives are merged by using weighting factors. The selection of these scalar factors is achieved through offline and online search methods and they are heavily dependent on the system parameters. To avoid this drawback, a multiobjective fuzzy predictive torque control is presented. The proposed strategy replaces the minimization of a scalar cost function with a multiobjective optimization using fuzzy decision making. Experimental implementation is presented to validate the performance of the proposed control scheme.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2016.2619378