An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive
This paper presents the prototyping of a fuzzy logic-sliding mode control technique for improved dynamics of induction motors. The proposed technique used the new fuzzy logic-sliding mode control technique as the main drive control using indirect field-oriented control theory. A simulation model was...
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| Format: | Article |
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AIMS Press
2024-06-01
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| Series: | AIMS Electronics and Electrical Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/electreng.2024016 |
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| author | Rekha Tidke Anandita Chowdhury |
| author_facet | Rekha Tidke Anandita Chowdhury |
| author_sort | Rekha Tidke |
| collection | DOAJ |
| description | This paper presents the prototyping of a fuzzy logic-sliding mode control technique for improved dynamics of induction motors. The proposed technique used the new fuzzy logic-sliding mode control technique as the main drive control using indirect field-oriented control theory. A simulation model was designed and implemented in a MATLAB/Simulink environment. An experimental prototype of the proposed circuit topology was fabricated, with a 0.37 kW induction motor fed from a quasi-impedance source inverter (q-ZSI) controlled by fuzzy logic-sliding mode-based indirect field-oriented control. In the real-time control, a DSpace 1202 Microlab box was used as a deployment module for the new control scheme on the q-ZSI-fed induction motor. The performance was studied under various constant speed ranges and step/ramp speed responses, both in simulations and experimentally. In this study, the proposed control method showed improved dynamic behavior of the system under constant speed and forward speed operation. The impact of FL-SMC in speed tracking with fast speed convergence was validated with experimental results. Moreover, ripple-free voltage and the current of the induction motor were observed with the proposed control scheme. |
| format | Article |
| id | doaj-art-3dc852cdf8b64cb1846ce6c4533190e0 |
| institution | Kabale University |
| issn | 2578-1588 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Electronics and Electrical Engineering |
| spelling | doaj-art-3dc852cdf8b64cb1846ce6c4533190e02025-01-24T01:10:37ZengAIMS PressAIMS Electronics and Electrical Engineering2578-15882024-06-018334035910.3934/electreng.2024016An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor driveRekha Tidke0Anandita Chowdhury1Sardar Vallabhbhai National Institute of Technology, Surat IndiaSardar Vallabhbhai National Institute of Technology, Surat IndiaThis paper presents the prototyping of a fuzzy logic-sliding mode control technique for improved dynamics of induction motors. The proposed technique used the new fuzzy logic-sliding mode control technique as the main drive control using indirect field-oriented control theory. A simulation model was designed and implemented in a MATLAB/Simulink environment. An experimental prototype of the proposed circuit topology was fabricated, with a 0.37 kW induction motor fed from a quasi-impedance source inverter (q-ZSI) controlled by fuzzy logic-sliding mode-based indirect field-oriented control. In the real-time control, a DSpace 1202 Microlab box was used as a deployment module for the new control scheme on the q-ZSI-fed induction motor. The performance was studied under various constant speed ranges and step/ramp speed responses, both in simulations and experimentally. In this study, the proposed control method showed improved dynamic behavior of the system under constant speed and forward speed operation. The impact of FL-SMC in speed tracking with fast speed convergence was validated with experimental results. Moreover, ripple-free voltage and the current of the induction motor were observed with the proposed control scheme.https://www.aimspress.com/article/doi/10.3934/electreng.2024016induction motorfuzzy logicsliding mode controlelectric vehicledspace |
| spellingShingle | Rekha Tidke Anandita Chowdhury An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive AIMS Electronics and Electrical Engineering induction motor fuzzy logic sliding mode control electric vehicle dspace |
| title | An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive |
| title_full | An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive |
| title_fullStr | An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive |
| title_full_unstemmed | An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive |
| title_short | An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive |
| title_sort | experimental analysis of fuzzy logic sliding mode based ifoc controlled induction motor drive |
| topic | induction motor fuzzy logic sliding mode control electric vehicle dspace |
| url | https://www.aimspress.com/article/doi/10.3934/electreng.2024016 |
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