Next Article in Journal
TMRN-GLU: A Transformer-Based Automatic Classification Recognition Network Improved by Gate Linear Unit
Next Article in Special Issue
Computational Intelligence Application in Electrical Engineering
Previous Article in Journal
Torque Ripple Suppression Method of Switched Reluctance Motor Based on an Improved Torque Distribution Function
Previous Article in Special Issue
Parametric Analysis for Performance Optimization of Line-Start Synchronous Motor with Interior Asymmetric Permanent Magnet Array Rotor Topology
Article

Optimization of Fuzzy Controller for Predictive Current Control of Induction Machine

Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2b, 31000 Osijek, Croatia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Bor-Ren Lin
Electronics 2022, 11(10), 1553; https://doi.org/10.3390/electronics11101553
Received: 21 April 2022 / Revised: 6 May 2022 / Accepted: 10 May 2022 / Published: 12 May 2022
(This article belongs to the Special Issue Computational Intelligence Application in Electrical Engineering)
An optimization procedure for type 1 Takagi–Sugeno Fuzzy Logic Controller (FLC) parameter tuning is shown in this paper. Ant colony optimization is used to obtain the optimal controller parameters, and only a small amount of post-optimization parameter adjustment is needed. The choice of controller parameters is explained, along with the methodology behind the criterion for objective function value calculation. The optimized controller is implemented as an outer-loop speed controller for Predictive Current Control (PCC) of an induction machine. The performance of the proposed control method is compared with that of several other model predictive control methods. The results show a 55% decrease in speed tracking error and 74% decrease in torque overshoot. View Full-Text
Keywords: induction machine; ant colony optimization; predictive current control; fuzzy logic control; Takagi–Sugeno induction machine; ant colony optimization; predictive current control; fuzzy logic control; Takagi–Sugeno
Show Figures

Figure 1

MDPI and ACS Style

Varga, T.; Benšić, T.; Barukčić, M.; Štil, V.J. Optimization of Fuzzy Controller for Predictive Current Control of Induction Machine. Electronics 2022, 11, 1553. https://doi.org/10.3390/electronics11101553

AMA Style

Varga T, Benšić T, Barukčić M, Štil VJ. Optimization of Fuzzy Controller for Predictive Current Control of Induction Machine. Electronics. 2022; 11(10):1553. https://doi.org/10.3390/electronics11101553

Chicago/Turabian Style

Varga, Toni, Tin Benšić, Marinko Barukčić, and Vedrana J. Štil. 2022. "Optimization of Fuzzy Controller for Predictive Current Control of Induction Machine" Electronics 11, no. 10: 1553. https://doi.org/10.3390/electronics11101553

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop