DYNAMIC INVESTIGATION OF A PERMANENT MAGNET SYNCHRONOUS MOTOR FOR FAULTY OPERATIONS

Yıl 2021, , 66 - 70, 01.06.2021

Muhammed Şeker , Duygu Bayram

https://doi.org/10.36222/ejt.891458

Öz

Industrial efficacy of electrical energy is an important feature for our daily life. To provide efficient and reliable operation, new types of electrical machines and their condition monitoring have gain importance. In this paper, a model based condition monitoring and fault evaluation application for permanent magnet synchronous motors (PMSM) is presented. Possible fault conditions are realized on mathematical model and their results are discussed. In order to observe the dynamic behavior of PMSM, its mathematical model is implemented into MATLAB / Simulink as a reference. Then, faulty conditions are created by altering specific model parameters to imitate possible faults. The behavior of the motor is observed and compared with the reference output to contribute the dynamic effects of faulty operations.

Anahtar Kelimeler

PMSM, mathematical modelling, condition monitoring

Kaynakça

• [1] Krishnan, R. (1991). Application Characteristics of Permanent Magnet Synchronous and Brushless dc Motors for Servo Drives. IEEE Trans. Ind. Appl. 27, 986–996.
• [2] Rahman, M. A. & Zhou, P. (1996). Analysis of Brushless Permanen agnet Synchronous Motors. Engineering 43, 256–267.
• [3] Consoli, A., Scarcella, G. & Testa, A. (2001). Industry application of zero-speed sensorless control techniques for PM synchronous motors. IEEE Trans. Ind. Appl. 37, 513–521.
• [4] Bolognani, S., Zordan, M. & Zigliotto, M. (2000). Experimental fault-tolerant control of a PMSM drive. IEEE Trans. Ind. Electron. 47, 1134–1141.
• [5] Kulkarni, S. S. & Thosar, A. G. (2013). Mathematical Modeling and Simulation of Permanent Magnet Synchronous Machine. Int. J. Electron. Electr. Eng. 1, 66–71.
• [6] Kliman, G. B., Premerlani, W. J., Koegl, R. A. & Hoeweler, D. (2002). A new approach to on-line turn fault detection in AC motors. In Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting, San Diego, CA, USA, 687–693.
• [7] Vaseghi, B., Takorabet, N., Nahid-Mobarakeh, B. & Meibody-Tabar, F. (2011). Modelling and study of PM machines with inter-turn fault dynamic model-FEM model. Electr. Power Syst. Res. 81, 1715–1722.
• [8] Reigosa, D. D., Briz, F., García, P., Guerrero, J. M. & Degner, M. W. (2010).Magnet temperature estimation in surface PM machines using high-frequency signal injection. IEEE Trans. Ind. Appl. 46, 1468–1475.
• [9] Yang, Z., Shi, X. & Krishnamurthy, M. (2014). Vibration monitoring of PM synchronous machine with partial demagnetization and inter-turn short circuit faults. In IEEE Transportation Electrification Conference and Expo (ITEC), ), Detroit, MI, USA.
• [10] Le Roux, W., Harley, R. G. & Habetler, T. G. (2007). Detecting rotor faults in low power permanent magnet synchronous machines. IEEE Trans. Power Electron. 22, 322–328.
• [11] Riera-Guasp, M., Antonino-Daviu, J. A. & Capolino, G. A. (2015). Advances in electrical machine, power electronic, and drive condition monitoring and fault detection: State of the art. IEEE Trans. Ind. Electron. 62, 1746–1759.
• [12] Krishnan, R. Permanent magnet synchronous and brushless DC motor drives, CRC press, USA, 2009.