Type-3 Fuzzy Logic-Based Robust Speed Control for an Indirect Vector-Controlled Induction Motor

dc.contributor.authorBal, Cafer
dc.date.accessioned2026-08-12T17:27:30Z
dc.date.issued2025
dc.departmentFırat Üniversitesi
dc.description.abstractInduction motors require effective speed controllers to handle challenging conditions such as indirect vector control, nonlinear dynamics, load-disturbances, and changes in rotor resistance. Although proportional-integral (PI) controllers and type-1 fuzzy logic controllers (T1-FLC) are relatively straightforward to implement, they can produce significant overshoot and slow recovery; type-2 fuzzy logic controllers (T2-FLC), on the other hand, improve uncertainty management at the cost of higher computational complexity. This study proposes a type-3 fuzzy logic controller (T3-FLC) that balances robustness with a single alpha-slice using two inputs and seven membership functions per input (49 rules). In six comparison scenarios, the type-3 FLC (T3-FLC) consistently offers a lower overshoot percentage and shorter recovery/settling times than the PI controller and type-1 FLC (T1-FLC). Overshoot drops to 0.13% with T3-FLC during a high-speed positive step, while this value for the PI controller is 4.43%. During a low-amplitude positive step, T3-FLC reaches 1.37%, while the PI controller reaches 11.12% and T1-FLC reaches 4.13%. After load torque is removed, the recovery time trec under T3-FLC is 0.064 s at high speed and 0.158 s at low speed, while for PI, these values are 0.400 s and 1.975 s, respectively. Under variations in rotor resistance, T3-FLC maintains a significantly smaller overshoot value: with a -20% change (3-6 s window), the values are 1.45% (T3-FLC) versus 9.59% (PI) and 4.51% (T1-FLC); with a +20% change (3-6 s), the values are 0.14% (T3-FLC) versus 4.36% (PI) and 0.15% (T1-FLC). Although there are isolated cases in which PI or T1-FLC shows a marginal advantage in a single metric (e.g., slightly smaller overshoot during transition or lower peak error during disturbance), T3-FLC generally provides the best balance, combining low overshoot with short settling/recovery time while keeping steady-state error at zero in all scenarios.
dc.description.sponsorshipFirat University Scientific Research Projects Coordination Unit [TEKF.25.35]
dc.description.sponsorshipThis research was funded by Firat University Scientific Research Projects Coordination Unit grant number TEKF.25.35.
dc.identifier.doi10.3390/app152211994
dc.identifier.issn2076-3417
dc.identifier.issue22
dc.identifier.orcid0000-0002-1199-2637
dc.identifier.scopus2-s2.0-105023116338
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/app152211994
dc.identifier.urihttps://hdl.handle.net/11508/55236
dc.identifier.volume15
dc.identifier.wosWOS:001623529300001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofApplied Sciences-Basel
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260511
dc.subjectindirect vector control
dc.subjectinduction motor
dc.subjectPI controller
dc.subjectspeed control
dc.subjectT1-FLC
dc.subjectT3-FLC
dc.titleType-3 Fuzzy Logic-Based Robust Speed Control for an Indirect Vector-Controlled Induction Motor
dc.typeArticle

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