Microprocessor-based on-line monitoring and characterization of power factor of a synchronous motor

Das, N. C.; Mukhopadhyay, Achintya

doi:10.1109/41.103435

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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Section: Introductionmentioning

confidence: 99%

Remote distributed monitoring system of switched reluctance motor

Cai

Wen-long

Zhang

2019

Measurement and Control

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Metaheuristic linear modeling technique for estimating the excitation current of a synchronous motor

Kahraman¹

2014

Turk J Elec Eng & Comp Sci

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Abstract:The subject of modeling and estimating of synchronous motor (SM) parameters is a challenge mathematically.Although effective solutions have been developed for nonlinear systems in artificial intelligence (AI)-based models, problems are faced with the application of these models in power circuits in real-time. One of these problems is the delay time resulting from a complex calculation process and thus the difficulties faced in the design of real-time motor driving circuits. Another important problem regards the difficulty in the realization of a complex AI-based model in microprocessor-based real-time systems. In this study, a new hybrid technique is developed to solve the problems in AI-based nonlinear modeling approaches. Through this method, the relationships among the motor parameters can be described in a linear/quadratic SM form. The most effective and modern metaheuristic methods are utilized in the creation of SM forms. The SM forms developed in this study lead to an easy design and application of the SM driver software. Therefore, a model that is faster, more effective, and more easily applicable than AI-based popular methods is developed for SMs. The proposed techniques can also be applied to many other industrial modeling problems that have nonlinear features.

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Microprocessor-based on-line monitoring and characterization of power factor of a synchronous motor

Cited by 2 publications

References 1 publication

Remote distributed monitoring system of switched reluctance motor

Remote distributed monitoring system of switched reluctance motor

Metaheuristic linear modeling technique for estimating the excitation current of a synchronous motor

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