Speed/position sensor fault tolerant control in adjustable speed drives – A review
Abstract
The position sensor is one of the most used devices in Adjustable Speed Drives (ASDs). Its use is mandatory in electric machines vector control. In this paper, an interest was addressed to this field. Indeed, a bibliographical review, about Fault Detection and Isolation (FDI) and Fault Tolerant Control (FTC) in ASDs, is presented. Thus, the paper deals with position sensor FDI and sensorless control-based FTC in ASDs. Moreover, this issue is mainly addressed to position sensor faults in ASDs. This paper is based on a wide literature review referring to scientific papers and manufacturer׳s technical documents. In total, 186 references in the open literature, dating back to 1981, have been investigated in order to perform this study.
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Since hardware redundancy is expensive or sometimes impossible, software redundancy is a good solution, involving state variable estimators and replacing damaged sensor signals with estimated ones.
“Since hardware redundancy is expensive or sometimes impossible to implement, software redundancy is a good solution, which involves the use of various types of state variable estimators and replacing the signals from the damaged sensors with estimated ones [33], [274].”
From Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges (2022) · cites this paper as [274]
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Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges
Orlowska-Kowalska, T., Wolkiewicz, M., Pietrzak, P., Skowron, M., Ewert, P., Tarchala, G., Krzysztofiak, M., & Kowalski, C. T. (2022) · IEEE Access · doi:10.1109/access.2022.3180153 · Cited by 297 · see citing works
“Since hardware redundancy is expensive or sometimes impossible to implement, software redundancy is a good solution, which involves the use of various types of state variable estimators and replacing the signals from the damaged sensors with estimated ones [33], [274].”
BackgroundMethodBhuiyan, E. A., Akhand, M. M. A., Das, S. K., Ali, M. F., Tasneem, Z., Islam, M. R., Saha, D. K., Badal, F. R., Ahamed, M. H., & Moyeen, S. I. (2020) · International Journal of Automation and Computing · doi:10.1007/s11633-020-1250-3 · Cited by 68 · see citing works
- Authors
- Bourogaoui, M., Sethom, H. B. A., & Belkhodja, I. S.
- Affiliations
- Tunis University (TN)
- University of Carthage (TN)
- Corresponding author
- Bourogaoui, M.
- Venue
- ISA Transactions
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 64
- Pages
- 269-284
- ISSN
- 0019-0578 (ISSN-L)
- OpenAlex
- W2416088184
- Cited by
- 67
- References
- 151
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 7 · 2023: 5 · 2022: 10 · 2021: 6 · 2020: 9 · 2019: 7 · 2018: 8 · 2017: 3 · 2016: 1
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ISA Transactions (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Tunisian Ministry of High Education and Scientific Research (LSE-ENIT-LR11ES15)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Sensorless Control of Electric Motors
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Keywords
- adjustable speed drives, fault detection and isolation, fault-tolerant control, sensorless control, vector control, electric machines, speed sensor
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