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Multi-phase electric motors and in particular nine-phase permanent magnet synchronous motors (9-phase PMSMs) find use in electric actuation, traction and propulsion systems. They exhibit advantages comparing to three-phase motors because of achieving high power and torque rates under moderate variations of voltage and currents in their phases, while also exhibiting fault tolerance. In this article a novel nonlinear optimal control method is developed for the dynamic model of nine-phase PMSMs. First it is proven that the dynamic model of these motors is differentially flat. Next, to apply the proposed nonlinear optimal control, the state-space model of the nine phase PMSM undergoes an approximate linearization process at each sampling instance. The linearisation procedure is based on first-order Taylor-series expansion and on the computation of the system’s Jacobian matrices. It takes place at each sampling interval around a temporary operating point which is defined by the present value of the system’s state vector and by the last sampled value of the control inputs vector. For the linearized model of the system an H-infinity feedback controller is designed. To compute the feedback gains of this controller an algebraic Riccati equation is repetitively solved at each time-step of the control algorithm. The global stability properties of the control scheme are proven through Lyapunov analysis. First it is demonstrated that the H-infinity tracking performance criterion is satisfied, which signifies robustness of the control scheme against model uncertainty and perturbations. Moreover, under mild assumptions it is also proven that the control loop is globally asymptotically stable. Additionally it is experimentally confirmed through simulation tests, that the nonlinear optimal control method achieves fast and accurate tracking of reference setpoints under moderate variations of the control inputs. Finally, to apply state estimation-based control without the need to measure the entire state vector of the nine-phase PMSM, the H-infinity Kalman Filter is used as a robust state estimator.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
380--402
Opis fizyczny
Bibliogr. 30 poz., rys.
Twórcy
autor
- Industrial Systems Institute, Unit of Industrial Automation Industrial Systems Institute, Rion Patras, Greece
autor
- Department of Management and Innovation Systems, University of Salerno, Italy
autor
- Department of Electrical Engineering, King Saud University, Saudi Arabia
autor
- Department of ECS Engineering, Rensselaer Polytechnic Institute, USA
autor
- Department of Electrical Engineering, University of Setif I, Algeria
autor
- Department of Electrical and Electronic Engineering Science, University of Johanessburg, South Africa
Bibliografia
- Basseville M. and Nikiforov I. (1993). Detection of abrupt changes: Theory and Applications. Prentice-Hall, New Jersey, USA.
- Cheng M., Yu F., Chou K.T and Hua W. (2016). Dynamic performance evaluation of a nine-phase fluxs witching permanent magnet motor drive with model predictive control. IEEE Transactions on Industrial Electronics. 63(7): 4539-4549.
- Garcia-Entrambosaguas P., Zoric I., Gonzalez-Prieto I., Duran M.J. and Lewi E. (2019). Direct torque and predictive control strategies in nine-phase electric drives using virtual voltage vectors. IEEE Transactions on Power Electronics. 34(12): 12106 12119.
- Jung E., You H., Sul S.K., Choi H.S. and Choi Y.Y. (2012). A nine-phase permanent magnet motor drive system for an ultrahigh-speed elevator. IEEE Transactions on Industry Applications. 48(3): 987-996.
- Kozovsky M., Blaha P. and Vaclaveck P. (2016). Verification of nine-phase PMSM model in d-q coordinats with mutual couplings. IEEE ICCSCE 2016, IEEE 7th Intl. Conference on Control Systems, Computing and Engineering, Penang, Malaysia.
- Kozovsky M. and Blaha P. (2017). Simulink generated control algorithm for nine-phase PMS motor. IEEE ICCSCE 2017, IEEE 7th Intl. Conference on Control Systems, Computing and Engineering, Penang, Malaysia.
- Liu X., Zhang X. and Zheng X. (2020). Sensorless fault tolerant control of a nine-phase Permanent Magnet Synchronous Motor under one-phase open circuited fault. IEEE ICEMS 2023, IEEE 25th Intl. Conference on Electrical Machines and Drives, Chiang May, Thailand.
- Mohamadian S. and Cecati C. (2021). Modeling, harmonic compensation and current sharing between winding sets of asymmetric nine-phase PMSM. IEEE IECON 2021, IEEE 47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, Canada.
- Mohamadian S., Tedeschini S. and Cecati C. (2023). Modelling and fault-toleerant control of triple three-phase PMSM under open-phase fault with mimimum stator power losses. IEEE IECON 2022, IEEE 48th Annual Conference of the Industrial Electronics Society, Brussels, Belgium.
- Prieto-Araujo E., Junyent-Ferr´e A., Lav`ernia-Ferrer D. and Gomis-Bellmunt O. (2015). Decentralized control of a nine-phase Permanent Magnet generator for offshore wind-turbines. IEEE Transactions on Energy Conversion. 30(3): 1103-1112.
- Rigatos G. and Tzafestas S. (2007). Extended Kalman Filtering for Fuzzy Modelling and Multi-Sensor Fusion, Mathematical and Computer Modelling of Dynamical Systems. Taylor & Francis, 13: 251 266, 2007.
- Rigatos G. and Zhang Q. (2009). Fuzzy model validation using the local statistical approach. Fuzzy Sets and Systems. Elsevier, 60(7): 882-904.
- Rigatos G. (2015). Nonlinear control and filtering using differential flatnesss theory approaches: Applications to electromechanical systems. Springer, Cham, Switzerland.
- Rigatos G. (2016). Intelligent Renewable Energy Systems: Modelling and Control. Springer, Cham, Switzerland.
- Rigatos G. and Karapanou E. (2020). Advances in applied nonlinear optimal control. Cambridge Scholars Publishing, Newcastle, UK.
- Rigatos G., Abbaszadeh M. and Hamida M.A. (2023). Nonlinear control, estimation and fault diagnossis for electric power generation, traction and propulsion systems. monograph in press, 2023.
- Rubins S., Dordevic O., Armando E., Bojoi R. and Levi E. (2020). A novel matrix transformation for decoupled control of modular multi-phase PMSM drives. IEEE Transactions on Power Electronics. 36(7): 8088-8101.
- Stiscia O., Slunjski M., Levi E. and Cavagnini A. (2019). Sensorless control of a nine-phase surface mounted Permanent Magnet Synchronous Machine with highly non-sinusoidal back-EMF. IEEE IECON 2019, IEEE 45th Annual Conference of the Industrial Electronics Society, Lisbon, Portugal.
- Slunjski M., Sascia O., Jones M. and Levi E. (2021). General torque enhancement approach for a nine phase surface PMSM with built-in fault tolerance. IEEE Transactions on Industrial Electronics. 68(8): 6412-6423.
- Slunjski M., Jones M. and Levi E. (2019). Control of a symmetrical nine-phase PMSM with highly non sinusoidal back-electromotive force using third harmonic current injection. IEEE IECON 2019, IEEE 45th Annual Conference of the Industrial Electronics Society, Lisbon, Portugal.
- Tong M., Chen Y., Yang T. and Ilkhami M. (2022). Comparison of three speed-loop designs for a high speed nine-phase permanent magnet synchronous machine in more electric aircraft. IEEE IECON 2022, IEEE 48th Annual Conference of the Industrial Electronics Society, Brussels, Belgium.
- Toussaint G.J., Basar T. and Bullo F. (2000). H∞ optimal tracking control techniques for nonlinear under actuated systems. Proc. IEEE CDC 2000, 39th IEEE Conference on Decision and Control, Sydney Australia.
- Wang B., Xu Y., Wang R. and Chang M. (2023). Advanced fault tolerant 3×3 phase PM drive with concentric winding for EV application. IEEE Transaction on Transportation Electrification. 1-11.
- Wang B., Zhu C., Xu Y., Wang J., Chen M. and Hua W. (2023). Comparative-study on fault tolerant triple-phase PM machine drive with five modular windings. IEEE Transactions on Industrial Electronics. 70(10): 9720-9730.
- Wang H., Zheng X., Yuan X. and Wu X. (2022). Low complexity model predictive control for a nine phase open-end winding PMSM with dead-time compensation. IEEE Transactions on Power Electronics. 37(8): 8895-8908.
- Wang H., Wu X., Zheng X. and Yuan X. (2023). Model predictive current control of nine-phase openend winding PMSM with an online virtual vector synthesis strategy. IEEE Transactions on Industrial Electronics. 78(3):2199-2208.
- Wang S., Imai K. and Doki S. (2023). A Novel Decoupling Control Scheme for Non-Salient Multi-ThreePhase Synchronous Machines Based on Multi-Stator Model. IEEE Transactions on Industry Applications. 58(1): 886-896.
- Wang H., Wu X., Zheng X. and Yuan X. (2022). Virtual Voltage Vector-based model predictive control for a nine-phase open-end winding PMSM with a common DC bus. IEEE Transactions on Industrial Electronics. 69(5): 5386-5397.
- Wang Z., Wu X. and Wang H. (2022). Sensorless control strategy of nine-phase PMSM based on piecewise combination of open-loop and sliding mode observer. IEEE CIEEC 2022, IEEE 2022 5th Itl. Electrical and Energy Conference, Nangjing, China.
- Zhai Z., Li C., Li M. and Zhang X. (2020). Vector control of nine-phase permanent magnet synchronous motor under symmetrical fault condition for derating operation. IEEE ICEMS 2020, IEEE 2020 23rd Intl. Conference on Electrical Machines and Systems, Hamamatsu Japan.
Uwagi
Special Section - Advanced Control Methods of Electrical Machines and Drives
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-b6b274a9-7dd5-4096-9eec-f06b5dde19bd
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