Student: Chien-Chih Huang Teacher: Ming-Shyan Wang Date : 2011.10.05 Simple Fault Diagnosis Based on Operating Characteristic of Brushless Direct-Current Motor Drives Byoung-Gun Park, Kui-Jun Lee, Rae-Young Kim, Member, IEEE, Tae-Sung Kim, Ji-Su Ryu, and Dong-Seok Hyun, Fellow, IEEE, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 58, NO. 5, MAY 2011 Student: Chien-Chih Huang Teacher: Ming-Shyan Wang Date : 2011.10.05 PPT100%

Outline Abstract Introduction Analysis For Open-Circuit Fault Of BLDC Motor Drives Proposed Fault Diagnosis Algorithm A. Error Detection B. Calculation of Fault Detection Time C. Fault Detection and Identification Overall Fault-Tolerant System Simulations And Experiments Conclusion References

Abstract In this paper, a simple fault diagnosis scheme for brushless direct-current motor drives is proposed to maintain control performance under an open-circuit fault. The proposed scheme consists of a simple algorithm using the measured phase current information and detects open circuit faults based on the operating characteristic of motors. It requires no additional sensors or electrical devices to detect open-circuit faults. The feasibility of the proposed fault diagnosis algorithm is proven by simulation and experimental results.

Introduction The fault-tolerant control system usually consists of three basic processes. The first process is fault detection, which is a binary decision to determine whether something has gone wrong or not. The identification process is also considered as being almost equally important. Therefore, two processes of fault detection and fault identification are often called as “fault diagnosis.” The proposed scheme is divided into three parts: 1) error detection; 2) fault detection; and 3) fault identification.

Analysis For Open-Circuit Fault Of BLDC Motor Drives Fig. 1. Electrical equivalent circuit of BLDC motor drives.

Analysis For Open-Circuit Fault Of BLDC Motor Drives Fig. 2. Waveforms of back EMFs and phase currents.

Analysis For Open-Circuit Fault Of BLDC Motor Drives Fig. 3. Current waveforms under open-circuit faults in Mode 1. (a) Upper switch fault. (b) Lower switch fault.

Proposed Fault Diagnosis Algorithm A. Error Detection The residual for error detection is defined as The threshold value is determined to judge whether an error occurs. The decided threshold value is given by This residual is used to detect errors according to the simple threshold logic

Proposed Fault Diagnosis Algorithm Fig. 4. Four-pole BLDC motor.

Proposed Fault Diagnosis Algorithm B. Calculation of Fault Detection Time The relation between the speeds of the electrical and mechanical variables is given by The relation between the frequency f of the induced voltage in cycles per second can be shown as

Proposed Fault Diagnosis Algorithm The time per mode ( ) is calculated by where is a number of modes per a cycle. The fault detection time ( ) is defined by

Proposed Fault Diagnosis Algorithm C. Fault Detection and Identification The algorithm for the fault detection is given by The algorithm for the fault identification is given by

Proposed Fault Diagnosis Algorithm TABLE I FAULT STATES OF SWITCHES IN A SIX-MODE CONVERSION

Proposed Fault Diagnosis Algorithm Fig. 5. Process of the proposed fault diagnosis algorithm.

Proposed Fault Diagnosis Algorithm Fig. 6. Flowchart of the proposed fault diagnosis.

Overall Fault-Tolerant System Fig. 7. Overall structure of the proposed fault diagnosis.

Simulations And Experiments TABLE II PARAMETERS OF BLDC MOTOR

Simulations And Experiments Fig. 8. Photograph of the laboratory prototype.

Simulations And Experiments Fig. 9. Experimental results without the fault-tolerant control. (ch. 1: ia, ch. 2: ib, ch. 3: ic, and ch. 4: fault signal).

Simulations And Experiments Fig. 10. Simulation results with the fault-tolerant control.

Simulations And Experiments Fig. 11. Experimental results with the fault-tolerant control. (ch. 1: ia, ch. 2: ib, ch. 3: ic, and ch. 4: if ).

Conclusion A low-cost simple fault diagnosis algorithm has been investigated to improve the reliability of the BLDC motor drive system. In comparison to the existing fault diagnosis, the proposed algorithm can simply identify the fault condition without additional sensors for fault detection and identification and can be embedded. Simulation and experimental results confirmed the feasibility of the proposed drive system for continuous operation under the fault condition.

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