Sensorless Vector Control of Three Phase Induction Motor Based on Full Neural Estimator and Controller
Conventional vector control of A.C drives are widely used in industry and many other applications, where high dynamic performance is required, this type of controller usually needs costly speed sensor. Sensorless vector control is strongly recommended in the dangerous sites and hostile environment,...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2011-06-01
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| Series: | Engineering and Technology Journal |
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| Online Access: | https://etj.uotechnology.edu.iq/article_31716_f328f2ea5f7b211e612ba075c9555632.pdf |
| _version_ | 1797325431372775424 |
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| author | Fatma H. Faris |
| author_facet | Fatma H. Faris |
| author_sort | Fatma H. Faris |
| collection | DOAJ |
| description | Conventional vector control of A.C drives are widely used in industry and many other applications, where high dynamic performance is required, this type of controller usually needs costly speed sensor. Sensorless vector control is strongly recommended in the dangerous sites and hostile environment, also to reduce cost and increase reliability. In this way the rotor speed can be estimated from the terminal voltage and current by means of DSP microprocessor. The DSP-estimator is very complex hardware, has many operation problems, and very sensitive to the electromagnetic interference (EMI). This paper proposes using the Artificial Neural Network (ANN) to estimate the rotor speed, flux vector, torque, and unit vectors instead of DSP-estimator. Also, the neural-based controller is proposed too. The ordinary vector control with speed sensor and sensorless vector control based on DSP-estimator PI-controller are represented in this work as point of comparison. Also, the mathematical representation and simulation of the three phase induction motor is illustrated in this paper. The proposed method, neuralbased sensorless vector controller and estimator, gives superior performance in different speed with respect to DSP-estimator PI-controller. |
| first_indexed | 2024-03-08T06:09:24Z |
| format | Article |
| id | doaj.art-5157909f27c0458299883ddfe93b32cd |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:09:24Z |
| publishDate | 2011-06-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-5157909f27c0458299883ddfe93b32cd2024-02-04T17:42:06ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582011-06-012991737175010.30684/etj.29.9.931716Sensorless Vector Control of Three Phase Induction Motor Based on Full Neural Estimator and ControllerFatma H. FarisConventional vector control of A.C drives are widely used in industry and many other applications, where high dynamic performance is required, this type of controller usually needs costly speed sensor. Sensorless vector control is strongly recommended in the dangerous sites and hostile environment, also to reduce cost and increase reliability. In this way the rotor speed can be estimated from the terminal voltage and current by means of DSP microprocessor. The DSP-estimator is very complex hardware, has many operation problems, and very sensitive to the electromagnetic interference (EMI). This paper proposes using the Artificial Neural Network (ANN) to estimate the rotor speed, flux vector, torque, and unit vectors instead of DSP-estimator. Also, the neural-based controller is proposed too. The ordinary vector control with speed sensor and sensorless vector control based on DSP-estimator PI-controller are represented in this work as point of comparison. Also, the mathematical representation and simulation of the three phase induction motor is illustrated in this paper. The proposed method, neuralbased sensorless vector controller and estimator, gives superior performance in different speed with respect to DSP-estimator PI-controller.https://etj.uotechnology.edu.iq/article_31716_f328f2ea5f7b211e612ba075c9555632.pdfsensorless vector controlneural estimationpi neuralbased controller |
| spellingShingle | Fatma H. Faris Sensorless Vector Control of Three Phase Induction Motor Based on Full Neural Estimator and Controller Engineering and Technology Journal sensorless vector control neural estimation pi neural based controller |
| title | Sensorless Vector Control of Three Phase Induction Motor Based on Full Neural Estimator and Controller |
| title_full | Sensorless Vector Control of Three Phase Induction Motor Based on Full Neural Estimator and Controller |
| title_fullStr | Sensorless Vector Control of Three Phase Induction Motor Based on Full Neural Estimator and Controller |
| title_full_unstemmed | Sensorless Vector Control of Three Phase Induction Motor Based on Full Neural Estimator and Controller |
| title_short | Sensorless Vector Control of Three Phase Induction Motor Based on Full Neural Estimator and Controller |
| title_sort | sensorless vector control of three phase induction motor based on full neural estimator and controller |
| topic | sensorless vector control neural estimation pi neural based controller |
| url | https://etj.uotechnology.edu.iq/article_31716_f328f2ea5f7b211e612ba075c9555632.pdf |
| work_keys_str_mv | AT fatmahfaris sensorlessvectorcontrolofthreephaseinductionmotorbasedonfullneuralestimatorandcontroller |