Model-based control of permanent magnet synchronous motors with inter-turn winding short circuit
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System reliability and fault tolerance are essential features in safety-critical applications with permanent magnet synchronous motors (PMSMs). An inter-turn winding short circuit is one of the most common and serious fault cases in PMSMs. Hence, the fault-tolerant control of PMSMs with an inter-turn winding short circuit is a crucial task.
This work aims for an optimal fault-tolerant operation of PMSMs in case of an inter-turn winding short circuit. For this task, a magnetic equivalent circuit (MEC) based modeling framework is derived. MECs allow for the systematic consideration of magnetic saturation and non-fundamental wave behavior of electric motors. The high model accuracy of the resulting real-time capable model is demonstrated by a comparison with measurements both in the fault-free case and in case of an inter-turn winding short circuit for a three-phase and a dual three-phase PMSM, respectively.
The MEC model of the PMSMs builds the foundation for the design of a model-based fault-identification scheme and a model-based fault-tolerant torque control strategy. The characteristic parameters of the winding fault are estimated by the fault-identification method and subsequently used in the fault-tolerant control algorithm. The developed nonlinear control strategy has a cascaded structure comprising a one-step model-predictive control (MPC) and subordinate PI current controllers. The feasibility of the model-based fault-identification scheme and the high torque control performance of the proposed fault-tolerant control strategy is proven by a number of different experiments performed on a test stand with the three-phase PMSM. Moreover, the advantages of the dual three-phase PMSM regarding fault tolerance are demonstrated in numerical simulations.
This work aims for an optimal fault-tolerant operation of PMSMs in case of an inter-turn winding short circuit. For this task, a magnetic equivalent circuit (MEC) based modeling framework is derived. MECs allow for the systematic consideration of magnetic saturation and non-fundamental wave behavior of electric motors. The high model accuracy of the resulting real-time capable model is demonstrated by a comparison with measurements both in the fault-free case and in case of an inter-turn winding short circuit for a three-phase and a dual three-phase PMSM, respectively.
The MEC model of the PMSMs builds the foundation for the design of a model-based fault-identification scheme and a model-based fault-tolerant torque control strategy. The characteristic parameters of the winding fault are estimated by the fault-identification method and subsequently used in the fault-tolerant control algorithm. The developed nonlinear control strategy has a cascaded structure comprising a one-step model-predictive control (MPC) and subordinate PI current controllers. The feasibility of the model-based fault-identification scheme and the high torque control performance of the proposed fault-tolerant control strategy is proven by a number of different experiments performed on a test stand with the three-phase PMSM. Moreover, the advantages of the dual three-phase PMSM regarding fault tolerance are demonstrated in numerical simulations.
Erscheinungsdatum | 03.05.2022 |
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Reihe/Serie | Modellierung und Regelung komplexer dynamischer Systeme ; 57 |
Verlagsort | Düren |
Sprache | englisch |
Maße | 170 x 240 mm |
Gewicht | 180 g |
Themenwelt | Sachbuch/Ratgeber ► Natur / Technik ► Technik |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Maschinenbau | |
Schlagworte | Fault Identification • Fault-tolerant Control • inter-turn winding short circuit • magnetic equivalent circuit (MEC) • model-predictive control (MPC) • Permanent Magnet Synchronous Motor (PMSM) |
ISBN-10 | 3-8440-8501-7 / 3844085017 |
ISBN-13 | 978-3-8440-8501-3 / 9783844085013 |
Zustand | Neuware |
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