Field Oriented Control For Three Phase Induction Motor Based On Full Neural Estimator And Controller
Closed loop speed control for an I.M is somewhat complex strategy, thecomplexity is gradually increases according to the demand performance degree. There are many types of control strategies: scalar, direct torque, adaptive, sensor less, and vector or Field Oriented Control (FOC). This paper propose...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2010-07-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_33962_9ad3089ac1af77e0468d6b39f69be21c.pdf |
| _version_ | 1827358196411400192 |
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| author | Fadhil A. Hassan |
| author_facet | Fadhil A. Hassan |
| author_sort | Fadhil A. Hassan |
| collection | DOAJ |
| description | Closed loop speed control for an I.M is somewhat complex strategy, thecomplexity is gradually increases according to the demand performance degree. There are many types of control strategies: scalar, direct torque, adaptive, sensor less, and vector or Field Oriented Control (FOC). This paper proposes the FOC strategy in details. Rotor flux, unit vector, and electromagnetic torque estimation are considered by using Digital Signal Processing (DSP). Artificial Neural Network (ANN) becomes a powerful tool for control nonlinear system in presenttime. This study proposes the using of ANN in stead of DSP to estimate the flux, unit vector, and electromagnetic torque to reduce the hardware complexity and the Electromagnetic Interference (EMI) effect. Also, it proposes the PI neural-based controller. The overall system simulation for both DSP and ANN are proposed. The performances of both systems are investigated, which give in DSP: rise time 0.24 sec, settling time 0.29 sec, overshot 5%, steady state error 0.5%. Whereas, in ANN: rise time 0.18, settling time 0.19 sec, overshot 1%, steady state error 0.2%. |
| first_indexed | 2024-03-08T06:07:16Z |
| format | Article |
| id | doaj.art-1a1f6acb09fd482fb08077fd4829a03a |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:07:16Z |
| publishDate | 2010-07-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-1a1f6acb09fd482fb08077fd4829a03a2024-02-04T17:46:07ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582010-07-0128155014502710.30684/etj.28.15.1033962Field Oriented Control For Three Phase Induction Motor Based On Full Neural Estimator And ControllerFadhil A. HassanClosed loop speed control for an I.M is somewhat complex strategy, thecomplexity is gradually increases according to the demand performance degree. There are many types of control strategies: scalar, direct torque, adaptive, sensor less, and vector or Field Oriented Control (FOC). This paper proposes the FOC strategy in details. Rotor flux, unit vector, and electromagnetic torque estimation are considered by using Digital Signal Processing (DSP). Artificial Neural Network (ANN) becomes a powerful tool for control nonlinear system in presenttime. This study proposes the using of ANN in stead of DSP to estimate the flux, unit vector, and electromagnetic torque to reduce the hardware complexity and the Electromagnetic Interference (EMI) effect. Also, it proposes the PI neural-based controller. The overall system simulation for both DSP and ANN are proposed. The performances of both systems are investigated, which give in DSP: rise time 0.24 sec, settling time 0.29 sec, overshot 5%, steady state error 0.5%. Whereas, in ANN: rise time 0.18, settling time 0.19 sec, overshot 1%, steady state error 0.2%.https://etj.uotechnology.edu.iq/article_33962_9ad3089ac1af77e0468d6b39f69be21c.pdffield oriented controldsp estimationneural estimationpi neuralbased controller |
| spellingShingle | Fadhil A. Hassan Field Oriented Control For Three Phase Induction Motor Based On Full Neural Estimator And Controller Engineering and Technology Journal field oriented control dsp estimation neural estimation pi neural based controller |
| title | Field Oriented Control For Three Phase Induction Motor Based On Full Neural Estimator And Controller |
| title_full | Field Oriented Control For Three Phase Induction Motor Based On Full Neural Estimator And Controller |
| title_fullStr | Field Oriented Control For Three Phase Induction Motor Based On Full Neural Estimator And Controller |
| title_full_unstemmed | Field Oriented Control For Three Phase Induction Motor Based On Full Neural Estimator And Controller |
| title_short | Field Oriented Control For Three Phase Induction Motor Based On Full Neural Estimator And Controller |
| title_sort | field oriented control for three phase induction motor based on full neural estimator and controller |
| topic | field oriented control dsp estimation neural estimation pi neural based controller |
| url | https://etj.uotechnology.edu.iq/article_33962_9ad3089ac1af77e0468d6b39f69be21c.pdf |
| work_keys_str_mv | AT fadhilahassan fieldorientedcontrolforthreephaseinductionmotorbasedonfullneuralestimatorandcontroller |