Title: Real-time fault detection algorithm for interior permanent magnet synchronous motor drive using DSP/FPGA
Authors: Bosson, Serge Pacome
Janouš, Štěpán
Košan, Tomáš
Peroutka, Zdeněk
Citation: BOSSON, SP. JANOUŠ, Š. KOŠAN, T. PEROUTKA, Z. Real-time fault detection algorithm for interior permanent magnet synchronous motor drive using DSP/FPGA. In 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) : /proceedings/. Piscataway: IEEE, 2022. s. 655-660. ISBN: 978-1-66548-240-0 , ISSN: 2163-5145
Issue Date: 2022
Publisher: IEEE
Document type: konferenční příspěvek
URI: 2-s2.0-85135798129
ISBN: 978-1-66548-240-0
ISSN: 2163-5145
Keywords in different language: fault detection;digital signal processors;field programmable gate array;interior permanent magnet synchronous motor;real-time systems;pulse-width modulated inverter;transient excitation;fast Fourier transform;hardware FFT processor
Abstract in different language: The paper deals with the design, implementation and experiment of an embedded drive system diagnostics for interior permanent magnet synchronous motor drive for safety critical applications. The drive is intended for traction drive applications therefore it uses a combination of a digital signal processor (DSP) and a field programmable gate array (FPGA) as is often the case in modern industrial drives. A real-time harmonic monitoring is employed to indicate the development or existence of fault within the drive system. This is achieved by embedding a real-time measurement and control within the DSP operating in conjunction with the motor control, to estimate the machine’s transient reactance after applying an excitation with voltage pulses using the switching of the inverter, and a real-time frequency analysis of the parameter within the FPGA operating independently of the motor control. Experimental testing is used to validate the proposed condition monitoring algorithm on a laboratory prototype of interior permanent magnet synchronous motor drive with a rated power of 4.5 kW.
Rights: Plný text je přístupný v rámci univerzity přihlášeným uživatelům.
Appears in Collections:Konferenční příspěvky / Conference papers (RICE)
Konferenční příspěvky / Conference Papers (KEV)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/51291

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