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Rotor Position Estimation of Permanent Magnet Synchronous Motors Using Low-Resolution Sensors
- Rotor Position Estimation of Permanent Magnet Synchronous Motors Using Low-Resolution Sensors
- Ban, Dong Hoon; Lee, Seong Hun; Hong, Jae Seung
- DGIST Authors
- Lee, Seong Hun
- Issue Date
- International Journal of Fuzzy Systems, 19(1), 78-85
- Article Type
- Computer Circuits; Encoder Sensor; Fuzzy Algorithm; Fuzzy Algorithms; Fuzzy Logic; Fuzzy Sets; Hall Effect Transducers; Hall Sensor; High Resolution Sensors; Low-Resolution Sensors; Magnets; Permanent Magnet Synchronous Motor; Permanent Magnets; PMSM; Rotor Position; Rotor Position Estimation; Speed; Synchronous Motors; Vector Control; Vector Control (Electric Machinery)
- A fault diagnosis algorithm, which is necessary for constructing a reliable power conversion system, should detect fault occurrences as soon as possible to protect the entire system from fatal damages resulting from system malfunction. In this paper, a fault diagnosis algorithm is proposed to detect open- and short-circuit faults that occur in a boost converter switch. The inductor voltage is abnormally kept at a positive DC value during a short-circuit fault in the switch or at a negative DC value during an open-circuit fault condition until the inductor current becomes zero. By employing these abnormal properties during faulty conditions, the inductor voltage is compared with the switching function to detect each fault type by generating fault alarms when a fault occurs. As a result, from the fault alarm, a decision is made in response to the fault occurrence and the fault type in less than two switching time periods using the proposed algorithm constructed in analogue circuits. In addition, the proposed algorithm has good resistivity to discontinuous current-mode operation. As a result, this algorithm features the advantages of low cost and simplicity because of its simple analogue circuit configuration. © 2014 © 2014 Taylor & Francis.
- Springer Berlin Heidelberg
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- Convergence Research Center for Future Automotive Technology1. Journal Articles
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