dq 전류의 특징을 이용한 인버터의 스위치 개방 고장진단

Switch Open Fault Diagnosis of Inverter Using Features of dq Currents

  • 곽내정 (한밭대학교 전자공학과) ;
  • 황재호 (한밭대학교 전자공학과) ;
  • 홍원표 (한밭대학교 건축설비공학과)
  • Kwak, Nae-Joung (Dept. of Electronics Eng. Hanbat National University) ;
  • Hwang, Jae-Ho (Dept. of Electronics Eng. Hanbat National University) ;
  • Hong, Won-Pyo (Dept. of Building Service Eng. Hanbat National University)
  • 투고 : 2010.02.02
  • 심사 : 2010.11.04
  • 발행 : 2011.01.25

초록

다양한 산업 응용분야에 사용되는 전동기 구동시스템의 고장은 심각한 문제를 초래한다. 본 논문에서는 전압형 PWM 인버터의 스위치 개방고장에 대한 검출 기법을 제안한다. 제안방법은 dq 전류를 정규화하여 dq 상전류의 평균값으로 고장을 검출하고 1차 분류를 실시한다. 분류된 결과에 따라 dq 상전류의 관계, 값의 범위, 전류의 분포 위치 등의 특정을 이용하여 2차 분류를 실시하여 그 결과로 고장 스위치를 진단한다. 제안방법은 MATLAB을 이용하여 인버터 스위치 개방고장진단에 관한 모의실험을 수행하였고 제안방법의 실용성을 입증하였다. 제안방법은 간단한 알고리즘으로 구현이 가능하며 그로 인해 일반적인 유도전동기 구동시스템에 추가하여 사용하는 것이 가능하다.

Faults of motor drive systems to be used for various industrial applications can cause serious problems. In this paper, a method to diagnose switch open fault of a voltage-fed PWM inverter is proposed. The proposed method normalizes dq current and fault-detection and first classification are performed by mean values of dq phase currents, second classification is performed by features such as the relation of dq phase currents, the ranges of those, the positions of those according to the results, and fault switch is diagnosed with the results. The proposed method performs the simulation for diagnosis of inverter switch open faults with MATLAB and identifies the feasibility of the proposed method. Because the proposed method is implemented by simple algorithms, the proposed algorithm can be embedded in general induction motor drive systems and be used.

키워드

참고문헌

  1. D. Kastha, B. K.Bose, "Investigation of Fault Modes of Voltage-Fed Inverter System for Induction Motor Drive", IEEE Trans. On Industrial Applications, Vol. 30, No. 4, 1994, July/August
  2. J. Kima, "Analytical investigation of an induction motor drive under inverter fault mode operations", IEE proc. Electr. Power Appl., vol 150, no. 3, 2003.
  3. R. L A. Ribeiro. etc, "Fault detection of Open-Switch Damage in voltage-Fed PWM Motor Drive Systems", IEEE Transactions of Power Electronics, vol. 18, no.2, March 2003.
  4. L. Zhang, L. B. Aris, and I. N. Hulley, "A knowledge-based system for on-line fault diagnosis of power inverter circuits for AC machine drive", Proc. EPE'92, vol. 3, pp. 334-339, 1992.
  5. R. Peuget, S. Courtine and J.P. Rognon, "Fault detection and isolation on a pwm inverter by knowledge-based model", IEEE Trans. on Industry Applications, vol. 34, no. 6, Nov/Dec 1998.
  6. D. Diallo, M. E. H. Benbouzid, D. Hamad, and X. Pierre, "Fault detection and diagnosis in an induction machine drive: a patern recognition approach based on concordia stator mean current vector," IEEE Trans. on Energy Conv., vol. 20, no. 3, Sept. 2005, pp. 512-519 https://doi.org/10.1109/TEC.2005.847961
  7. M. E. H. Benbouzid, G. B. Kliman, "What stator current processing-based technique to use for induction motor rotor faults diagnosis?," IEEE Trans. On energy Conv., vol. 18, no. 2, June 2003, pp. 238-244 https://doi.org/10.1109/TEC.2003.811741
  8. K. Debebe, V. Rajagopalan and T. S. Snakar, "Expert systems for fault diagnosis of VSI fed ac drives," Proc. IAS'91 Conf., pp. 368-373, 1991.
  9. H. Nejjaro et al., "Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach," IEEE Trans. Industry Application, vol. 36, no. 3, 2000.
  10. A. M. .S . Mendes, A. J. M. Cardoso., and E. S. Saravis, "Voltage source inverter fault diagnosis in variable speed AC drives, by the average current Park's vector approach," International Conf. IEMD., 1999, pp.704-706