Department of Electrical Engineering, Southern Taiwan University 1 Simple Fault Diagnosis Based on...

Department of Electrical Engineering, Southern Taiwan University

Department of Electrical Engineering, Southern Taiwan University

1

Simple Fault Diagnosis Based onOperating Characteristic of Brushless

Direct-Current Motor Drives

Simple Fault Diagnosis Based onOperating Characteristic of Brushless

Direct-Current Motor Drives

Student: Chien-Chih HuangTeacher: Ming-Shyan Wang Date : 2011.10.05

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

PPT100%

Department of Electrical Engineering, Southern Taiwan UniversityDepartment of Electrical Engineering, Southern Taiwan University 2

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.



Fig. 2. Waveforms of back EMFs and phase currents.



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 erroroccurs. The decided threshold value is given by

This residual is used to detect errors according to thesimple threshold logic



Fig. 4. Four-pole BLDC motor.



B. Calculation of Fault Detection Time

The relation between the speeds of the electrical and mechanicalvariables is given by

The relation between the frequency f of the induced voltagein cycles per second can be shown as



The time per mode ( ) is calculated by

where is a number of modes per a cycle.The fault detection time ( ) is defined by



C. Fault Detection and Identification

The algorithm for the fault identification isgiven by

The algorithm for the fault detection is given by



TABLE IFAULT STATES OF SWITCHES IN A SIX-MODE CONVERSION



Fig. 5. Process of the 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.

Department of Electrical Engineering, Southern Taiwan UniversityDepartment of Electrical Engineering, Southern Taiwan University

Simulations And ExperimentsSimulations And Experiments

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TABLE IIPARAMETERS OF BLDC MOTOR



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Fig. 8. Photograph of the laboratory prototype.



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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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Fig. 10. Simulation results with the fault-tolerant control.



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


ConclusionConclusionA 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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