Abstract

A non-invasive technique for condition monitoring of brushless DC motor drives is proposed in this study for Hall-effect position sensor fault diagnosis. Position sensor faults affect rotor position feedback, resulting in faulty transitions, which in turn cause current fluctuations and mechanical oscillations, derating system performance and threatening life expectancy. The main concept of the proposed technique is to detect the faults using vibration signals, acquired by low-cost piezoelectric sensors. With this aim, the frequency spectrum of the piezoelectric sensor output signal is analyzed both under the healthy and faulty operating conditions to highlight the fault signature. Therefore, the second harmonic component of the vibration signal spectrum is evaluated as a reliable signature for the detection of misalignment faults, while the fourth harmonic component is investigated for the position sensor breakdown fault, considering both single and double sensor faults. As the fault signature is localized at these harmonic components, the Goertzel algorithm is promoted as an efficient tool for the harmonic analysis in a narrow frequency band. Simulation results of the system operation, under healthy and faulty conditions, are presented along with the experimental results, verifying the proposed technique performance in detecting the position sensor faults in a non-invasive manner.

Highlights

  • IntroductionPublisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

  • The method is based on the analysis of motor vibration signals and the use of piezoelectric sensors is proposed as a low-cost implementation for the diagnosis or as a part of a smart sensor with the ability to analyze the acquired data, provide a fault alarm, and initiate an emergency system stop

  • The Hall-effect position sensor misalignment and breakdown faults are investigated, extending the previous study, where the piezoelectric sensors have been used for the diagnosis of the position sensor misalignment fault only

Read more

Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Energies 2021, 14, 2248 of detecting all the potential Hall-effect position sensor fault types, i.e., misalignment and single or double breakdown fault, without the need for hardware modification of the motor controller or additional external voltage or current sensors. In this way, a more generalized approach, independent of the drive system voltage and current ratings, can be achieved, as there is no need for doubling the required, application-based, current and voltage sensors. The experimental investigation of the system operation under the healthy and faulty conditions highlights the advantages of the piezoelectric transducers in detecting the faulty system operation

Brushless DC Motor Drive Operating Principles
Use of Piezoelectric Transducers for Position Sensor Faults Detection
Harmonic Analysis Using the Goertzel Algorithm
Simulation Model Development and Healthy System Operation
Brushless DC Motor Drive under Position Sensor Misalignment Fault
Brushless DC Motor Drive under Position Sensor Breakdown Fault
Simulation Analysis of Single Position Sensor Breakdown Fault
Simulation Analysis of Double Position Sensor Breakdown Fault
Development of the Experimental Setup
Piezoelectric Sensor Investigation under Position Sensor Misalignment Defect
Findings
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.