An Adaptive Neuro-Fuzzy Inference System for Speed Control of Three-Phase Induction Motor
Conventional Proportional Integral (PI) controller of A.C drives are widely used in industry and many other applications, because of its simplicity, but it does not give high degree of speed control of induction motor. There are many types of controller: Proportional (P), Proportional Integral (PI),...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2012-06-01
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| Series: | Engineering and Technology Journal |
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| Online Access: | https://etj.uotechnology.edu.iq/article_57227_5521112a4943812e418d1871d081ecd4.pdf |
| _version_ | 1797325545786048512 |
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| author | Lina J. Rashad |
| author_facet | Lina J. Rashad |
| author_sort | Lina J. Rashad |
| collection | DOAJ |
| description | Conventional Proportional Integral (PI) controller of A.C drives are widely used in industry and many other applications, because of its simplicity, but it does not give high degree of speed control of induction motor. There are many types of controller: Proportional (P), Proportional Integral (PI), Proportional Integral Derivative (PID), and Intelligent controllers. The intelligent controller becomes a powerful tool for control nonlinear system in present time. This paper proposes the Adaptive Neuro-Fuzzy Inference System as an intelligent controller of the induction motor. In addition, the PI controller is presented in this paper as a conventional controller. The mathematical epresentation and simulation of the 3-phase induction motor is represented too. Also, a 3-phase voltage-fed Sinusoidal Pulse Width Modulation (SPWM) inverter is demonstrated and simulated. The overall system for both PI and ANFIS controllers are simulated using MATLAB/SIMULINK program. The comparison of simulation results between the conventional PI and the proposed ANFIS performances shows that: the ANFIS controller gives superior performance than the conventional PI controller for wide range of speed variation. |
| first_indexed | 2024-03-08T06:10:58Z |
| format | Article |
| id | doaj.art-eabc7b14cb9e483cb8bb0baad07e6999 |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:10:58Z |
| publishDate | 2012-06-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-eabc7b14cb9e483cb8bb0baad07e69992024-02-04T17:39:26ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582012-06-0130111897191110.30684/etj.30.11.557227An Adaptive Neuro-Fuzzy Inference System for Speed Control of Three-Phase Induction MotorLina J. RashadConventional Proportional Integral (PI) controller of A.C drives are widely used in industry and many other applications, because of its simplicity, but it does not give high degree of speed control of induction motor. There are many types of controller: Proportional (P), Proportional Integral (PI), Proportional Integral Derivative (PID), and Intelligent controllers. The intelligent controller becomes a powerful tool for control nonlinear system in present time. This paper proposes the Adaptive Neuro-Fuzzy Inference System as an intelligent controller of the induction motor. In addition, the PI controller is presented in this paper as a conventional controller. The mathematical epresentation and simulation of the 3-phase induction motor is represented too. Also, a 3-phase voltage-fed Sinusoidal Pulse Width Modulation (SPWM) inverter is demonstrated and simulated. The overall system for both PI and ANFIS controllers are simulated using MATLAB/SIMULINK program. The comparison of simulation results between the conventional PI and the proposed ANFIS performances shows that: the ANFIS controller gives superior performance than the conventional PI controller for wide range of speed variation.https://etj.uotechnology.edu.iq/article_57227_5521112a4943812e418d1871d081ecd4.pdfsinusoidal pwmspeed control of induction motorpi controlleranfis controller |
| spellingShingle | Lina J. Rashad An Adaptive Neuro-Fuzzy Inference System for Speed Control of Three-Phase Induction Motor Engineering and Technology Journal sinusoidal pwm speed control of induction motor pi controller anfis controller |
| title | An Adaptive Neuro-Fuzzy Inference System for Speed Control of Three-Phase Induction Motor |
| title_full | An Adaptive Neuro-Fuzzy Inference System for Speed Control of Three-Phase Induction Motor |
| title_fullStr | An Adaptive Neuro-Fuzzy Inference System for Speed Control of Three-Phase Induction Motor |
| title_full_unstemmed | An Adaptive Neuro-Fuzzy Inference System for Speed Control of Three-Phase Induction Motor |
| title_short | An Adaptive Neuro-Fuzzy Inference System for Speed Control of Three-Phase Induction Motor |
| title_sort | adaptive neuro fuzzy inference system for speed control of three phase induction motor |
| topic | sinusoidal pwm speed control of induction motor pi controller anfis controller |
| url | https://etj.uotechnology.edu.iq/article_57227_5521112a4943812e418d1871d081ecd4.pdf |
| work_keys_str_mv | AT linajrashad anadaptiveneurofuzzyinferencesystemforspeedcontrolofthreephaseinductionmotor AT linajrashad adaptiveneurofuzzyinferencesystemforspeedcontrolofthreephaseinductionmotor |