Multifault Observer Based Detection Method for Brushless DC Motors

https://doi.org/10.58571/CNCA.AMCA.2024.056

Resumen: A detection and identification method for high resistance connection faults and open phase fault in Brushless DC motors is presented. The method uses the current and speed residuals to detect the type of fault, the faulty phase and the severity of the fault in the case of high resistance connection. The residuals are made by comparing the measured signals and their estimates. These estimates are obtained with an observer which reconstructs the stator currents using only the rotor position signal. An observability analysis is included to show that it is possible to reconstruct the currents from the position measurement. Numerical simulations are presented to validate the proposed fault detection scheme.

¿Cómo citar?

De La Guerra, A. & Gutierrez Giles, A. (2024). Multifault Observer Based Detection Method for Brushless DC Motors. Memorias del Congreso Nacional de Control Automático 2024, pp. 326-331. https://doi.org/10.58571/CNCA.AMCA.2024.056

Palabras clave

Observers, fault detection, BLDC motor

• Chiasson, J. (2005). Modeling and high performance control of electric machines. John Wiley & Sons.
• De La Guerra, A., Torres, L., and Maldonado-Ruelas, V. (2016). An online fault detection approach for switched reluctance motors. In In Congreso Nacional de Control Automático 2016, Querétaro, Mexico, 28–30.
• Gupta, A., Jayaraman, K., and Reddy, R.S. (2021). Performance analysis and fault modelling of high resistance contact in brushless dc motor drive. In IECON 2021– 47th Annual Conference of the IEEE Industrial Electronics Society, 1–6. IEEE.
• Gupta, A., Reddy, R.S., and Jayaraman, K. (2024). An input current based method for fault diagnosis of high resistance connection in bldc motors. IEEE Sensors Journal.
• Ibarra-Rojas, S., Moreno, J., and Espinosa-Pérez, G. (2004). Global observability analysis of sensorless induction motors. Automatica, 40(6), 1079–1085.
• Isidori, A. (1996). Global almost disturbance decoupling with stability for non minimum-phase singleinput single-output nonlinear systems. Systems and Control Letters, 28(2), 115–122.
• Kudelina, K., Asad, B., Vaimann, T., Rassolkin, A., Kallaste, A., and Lukichev, D.V. (2020). Main faults and diagnostic possibilities of bldc motors. IEEE 2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED).
• Sontag, E.D. (2013). Mathematical control theory: deterministic finite dimensional systems, volume 6. Springer Science & Business Media.
  Wang, H., Qian, G., Cao, W., and Lu, S. (2022). A twostep online fault detection method for high-resistance connection faults in a vehicular bldc motor. In Advanced Sensors and Sensing Technologies for Electric Vehicles, 1–1. AIP Publishing LLC Melville, New York.
• Yun, J., Cho, J., Lee, S.B., and Yoo, J.Y. (2009). Online detection of high-resistance connections in the incoming electrical circuit for induction motors. IEEE Transactions on Industry Applications, 45(2), 694–702.