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
Department of Electrical Engineering,
Southern Taiwan University
PPT100%
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Outline
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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
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Overall Fault-Tolerant System
Simulations And Experiments
Conclusion
References
Department of Electrical Engineering, Southern Taiwan University
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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.
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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.
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Analysis For Open-Circuit Fault
Of BLDC Motor Drives
Fig. 1. Electrical equivalent circuit of BLDC motor drives.
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Analysis For Open-Circuit Fault
Of BLDC Motor Drives
Fig. 2.
Waveforms of back EMFs
and phase currents.
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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.
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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
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Proposed Fault Diagnosis Algorithm
Fig. 4. Four-pole BLDC motor.
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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
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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
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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
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Proposed Fault Diagnosis Algorithm
TABLE I
FAULT STATES OF SWITCHES IN A SIX-MODE CONVERSION
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Proposed Fault Diagnosis Algorithm
Fig. 5. Process of the proposed fault diagnosis algorithm.
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Proposed Fault Diagnosis Algorithm
Fig. 6. Flowchart of the proposed fault diagnosis.
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Overall Fault-Tolerant System
Fig. 7. Overall structure of the proposed fault diagnosis.
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Simulations And Experiments
TABLE II
PARAMETERS OF BLDC MOTOR
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Simulations And Experiments
Fig. 8. Photograph of the laboratory prototype.
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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).
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Simulations And Experiments
Fig. 10. Simulation results with the fault-tolerant control.
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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 ).
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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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References
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Thanks for your attention!
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