Condition Monitoring of DSP Based Online Induction Motor External Fault Detection Using TMS320LF2407 DSP

Kumar, K. Vinoth; Kumar, S. Suresh; Saravanakumar, R.; Selvakumar, A. Immanuel; Reddy, Kishore; Varghese, Jibin M.

doi:10.1109/pacc.2011.5978872

Cited by 2 publications

(1 citation statement)

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“…9,[16][17][18][19][20][21] Then the collected data are transmitted to an upper computer through RS232 or peripheral component interconnect (PCI). 19,[22][23][24][25][26][27][28][29][30][31] This kind of monitoring systems, the transmission distance of which is short, can only save the measured data in the specific upper computer. Thus, it is needed to equip one upper computer for each motor.…”

Section: Introductionmentioning

confidence: 99%

Remote distributed monitoring system of switched reluctance motor

Cai

Wen-long

Zhang

2019

Measurement and Control

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The reliable operation, dynamic performance analysis and control strategy research of a switched reluctance motor (SRM) require an online monitoring system to display and record its operating status. However, due to the large amount of data, the nonlinear electromagnetic characteristics and the harsh working environment of SRM, it is very difficult to monitor a SRM's operation status in real time. In order to solve these problems, a new structure of the SRM monitoring system, which uses Digital Signal Processor (DSP) and the hardwired Transmission Control Protocol/Internet Protocol embedded Ethernet controller W5500, is presented in this paper. The W5500 and DSP's direct memory access modules are employed for data capture and transfer to reduce the digital signal processing workload. The digital signal processing program is implemented by the hybrid programming method, which shortens the filtering time. Consequently, the DSP has sufficient resources to acquire multiple signals with a high sampling frequency and can adopt a more complex filtering algorithm, which enhances the accuracy and real-time performance of the system. Moreover, the amplitude-frequency characteristics of signals are analyzed. Then, the detection circuits and finite impulse response filters are designed to achieve the targeted acquisition and filtering. Besides, the impact of harsh environment on the system is reduced by adjusting the data transmission modes according to different working conditions. As a result, the scope of application of the system has been extended. The proposed system has a novel structure and strong practicability, which exhibits great guiding significance for the development of a SRM.

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