Fault Tolerant Control Based on Extended Kalman Filter of Squirrel-Cage Induction Machines

• Autorzy: Khadar Saad , Mekhalfia Fadhila , Kouzou Abdellah

Identyfikatory

DOI

10.12736/issn.2330-3022.2019401

Warianty tytułu

PL

Odporny na błędy system sterowania indukcyjnymi maszynami klatkowymi przy użyciu rozszerzonego filtra Kalmana

• Języki publikacji: EN PL

Abstrakty

EN

Fault-tolerant control systems possess the ability of rejecting the effect of faults. They are capable of maintaining overall system stability and acceptable performance in degraded modes. Through many researches, the analysis, modeling, and simulation of various inverter and machine faults have been carried out for the purpose of providing a fault tolerance. However, most of them are based on systems redundancy principle. Among the real-time based approaches for the fault detection and diagnosis, there are several strategies such as the pseudo inverse method, the linear quadratic approach and Extended Kalman Filter based Fault Tolerant Control (EKF-FTC). In recent years the application of Kalman filter approaches has gained an increasing attention in fundamental research and application. In this paper, a FTC method dedicated to Induction Motor (IM) drive is presented. The proposed method based on an additive term to the backstepping control which based on the error of current during the appearance of fault and the adaptive gain of the Kalman filter. This method improves the performance of the backstepping control to maintain the operation despite the appearance of faults. The main objective is to ensure a minimum level of performance of the drive system that is malfunctioning.

PL

Odporne na błędy układy sterowania mają zdolność eliminacji wpływu zakłóceń. Potrafią one utrzymywać ogólną stabilność i akceptowalne działanie systemu w trybach awaryjnych. Dzięki wielu badaniom przeprowadzono analizę, modelowanie i symu- lację różnych błędów falownika i maszyny w celu zapewnienia odporności na błędy. Większość z nich wynika jednak z zasady redundancji systemów. Wśród strategii wykrywania i diagnozowania błędów w czasie rzeczywistym można wyróżnić przykładowo metodę pseudoodwrotną, metodę liniowo-kwadratową i sterowanie odporne na błędy przy użyciu rozszerzonego filtra Kalmana (EKF-FTC). W ostatnich latach metodom z użyciem filtra Kalmana poświęca się coraz więcej uwagi w podstawowych bada- niach i zastosowaniach. W niniejszym artykule przedstawiono metodę FTC zastosowaną do napędu silnika indukcyjnego (IM). Proponowana metoda polega na dodaniu do sterowania metodą całkowania wstecznego (ang. backstepping) członu addytywnego, która polega na wystąpieniu uchybu prądu w razie błędu i wzmocnienia adaptacyjnego filtra Kalmana. Metoda ta poprawia wydaj- ność sterowania za pomocą wstecznego całkowania w celu podtrzymania pracy pomimo wystąpienia błędów. Głównym celem jest zapewnienie minimalnego poziomu wydajności niesprawnego układu napędowego.

Słowa kluczowe

EN

fault-tolerant control; adaptive gain; extended Kalman filter; induction motor

PL

sterowanie odporne na błędy; wzmocnienie adaptacyjne; filtr Kalmana; silnik indukcyjny

• Wydawca: ENERGA SA
• Czasopismo: Acta Energetica
• Rocznik: 2019
• Tom: nr 4
• Strony: 6--23
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Khadar Saad

• Applied Automation and Industrial Diagnostic Laboratory, University of Djelfa, Djelfa, Algeria

autor

Mekhalfia Fadhila

• Research Laboratory of Electrical Engeneering, M’sila University, Bordj Bou Arreridj, Algeria

autor

Kouzou Abdellah

• Applied Automation and Industrial Diagnostic Laboratory, University of Djelfa, Djelfa, Algeria

Bibliografia

• 1. Khadar S., Kouzou A., Implementation of Control Strategy Based on SVM for Open-End Winding Induction Motor with short circuit fault between turns in Stator Windings, Journal of Automation & Systems Engineering., Vol. 12(3), 2018, pp. 12–25.
• 2. Khadar S. et al., Sensorless Control Technique of Open-End Winding Five Phase Induction Motor under Partial Stator Winding Short-Circuit, Periodica Polytechnica Electrical Engineering and Computer Science, https://doi.org/10.3311/PPee.14306, 2019.
• 3. Ballal M.S., Suryawanshi H.M., Mishra M.K., Stator Winding Inter-turn Insulation Fault Detection in Induction Motors by Symmetrical Components Method, Electric Power Components and Systems., Vol. 36(7), 2008, pp. 741–753.
• 4. Khadar S., Kouzou A., Control by backstepping of IM in the presence of faults of the whole Inverter-Machine, 2rd International Conference on Applied Automation and Industrial Diagnostics (ICAAID), 16–17 Sep. 2017, Djelfa, Algeria.
• 5. Khadar S., Kouzou A., Fault-tolerant control of asynchronous machine taking into account faults, The International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)., 28-31 Oct. 2018, Alger, Algeria. https://doi.org/10.1109/CISTEM.2018.8613442.
• 6. Taoussi M. et al., Speed variable adaptive backstepping control of the doubly-fed induction machine drive, International Journal of Automation and Control., Vol. 10(1), 2016, pp. 12–33.
• 7. Imen H.B., Hajji S., Chaari A., Backstepping Controller Design using a High Gain Observer for Induction Motor, International Journal of Computer Applications., Vol. 23(3), 2011, pp. 1–6.
• 8. Khadar S. et al., Investigation on SVM-Backstepping sensorless control of five-phase open-end winding induction motor based on model reference adaptive system and parameter estimation, Engineering Science and Technology, an International Journal., Vol. 22(4), 2019, pp. 1013–1026.
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• 10. Benheniche A., Bensaker B., A High Gain Observer Based Sensorless Nonlinear Control of Induction Machine, International Journal of Power Electronics and Drive System., Vol. 5, 2015, pp. 305–314.
• 11. Zaafouri A. et al., DSP-based adaptive backstepping using the tracking errors for high-performance sensorless speed control of induction motor drive, ISA Transactions., Vol. 60, 2016, pp. 333–347.
• 12. Lee K.S., Ryu J.S., Instrument fault detection and compensation scheme for direct torque-controlled induction motor drives, IEE Proceedings – Control Theory and Applications., Vol. 150, 2003, pp. 376–382.
• 13. Khadar S. et al., Speed sensor fault tolerant control scheme for open-end winding five phase induction motor in electric vehicle, The First International Conference on Materials, Environment, Mechanical and Industrial Systems., 29–30 June 2019, Djelfa, Algeria.
• 14. Xiahou K.S., Wu Q.H., Fault-tolerant control of doubly-fed induction generators under voltage and current sensor faults, Electrical Power and Energy Systems., Vol. 98, 2018, pp. 48–61.
• 15. Al-Ghossini H. et al., Adaptive-tuning of extended Kalman filter used for smal l scale wind generator control, Renewable Energy., Vol. 85, 2018, pp. 1237–1245.
• 16. Moujahed M. et al., Extended Kalman Filter for Sensorless Fault Tolerant Control of PMSM with Stator Resistance Estimation, International Journal of Power Electronics and Drive System., Vol. 9, 2018, pp. 579–590.
• 17. Abdelmalek S. et al., A novel scheme for current sensor faults diagnosis in the stator of a DFIG described by a TS fuzzy model, Measurement., Vol. 91, 2016, pp. 680–691.
• 18. Rothenhagen K., Fuchs F.W., Current sensor fault detection, isolation, and reconfiguration for doubly fed induction generators, IEEE Trans Indust Electron., Vol. 56, 2009, pp. 4239–4245.
• 19. Li H. et al., Fault-tolerant control for current sensors of doubly fed induction generators based on an improved fault detection method, Measurement., Vol. 47, 2014, pp. 929–937.
• 20. Khadar S., Kouzou A., A new modeling method for turn to turn fault in same phase of five phase induction motor with open-end stator winding, presented at Second International Conference, Electrical Engineering ICEEB’2018., Biskra, Algeria, 2018.
• 21. Khadar S., Kouzou A., Comparative study between the direct torque control and backstepping control of induction motor under stator fault conditions, presented at Second International Conference, Electrical Engineering ICEEB’2018., Biskra, Algeria, Dec., 2–3, 2018.

Uwagi

1. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).

2. Wersja polaka na stronach 14-20.