Type-3 Fuzzy Logic-Based Robust Speed Control for an Indirect Vector-Controlled Induction Motor
| dc.contributor.author | Bal, Cafer | |
| dc.date.accessioned | 2026-08-12T17:27:30Z | |
| dc.date.issued | 2025 | |
| dc.department | Fırat Üniversitesi | |
| dc.description.abstract | Induction 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.sponsorship | Firat University Scientific Research Projects Coordination Unit [TEKF.25.35] | |
| dc.description.sponsorship | This research was funded by Firat University Scientific Research Projects Coordination Unit grant number TEKF.25.35. | |
| dc.identifier.doi | 10.3390/app152211994 | |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.issue | 22 | |
| dc.identifier.orcid | 0000-0002-1199-2637 | |
| dc.identifier.scopus | 2-s2.0-105023116338 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | https://doi.org/10.3390/app152211994 | |
| dc.identifier.uri | https://hdl.handle.net/11508/55236 | |
| dc.identifier.volume | 15 | |
| dc.identifier.wos | WOS:001623529300001 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Mdpi | |
| dc.relation.ispartof | Applied Sciences-Basel | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_WoS_20260511 | |
| dc.subject | indirect vector control | |
| dc.subject | induction motor | |
| dc.subject | PI controller | |
| dc.subject | speed control | |
| dc.subject | T1-FLC | |
| dc.subject | T3-FLC | |
| dc.title | Type-3 Fuzzy Logic-Based Robust Speed Control for an Indirect Vector-Controlled Induction Motor | |
| dc.type | Article |







