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FPGA based real time fuzzy fault detection algorithm

机译:基于FPGA的实时模糊故障检测算法

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This paper presents a fast fuzzy algorithm, implemented using field-programmable gate array (FPGA) to detect the stator related faults in induction motors. Altera Cyclone III FPGA was employed for developing the proposed method. All coding of fuzzy algorithm was written using hardware description language (HDL) called very high speed integrated circuit description language (VHDL). Fuzzy system has three inputs and one output. The magnitudes of three phase current signals were given to the fuzzy system and stator related faults were detected. The validity of the proposed method was tested by experimental data set and was also compared to the results of MATLAB fuzzy logic toolbox. The experimental results show that the proposed method gives very efficient and reliable results for fault detection of induction motors.
机译:本文介绍了一种快速模糊算法,使用现场可编程门阵列(FPGA)实现,以检测感应电动机中的定子相关故障。使用Altera Cyclone III FPGA来开发所提出的方法。使用称为非常高速集成电路描述语言(VHDL)的硬件描述语言(HDL)编写了模糊算法的所有编码。模糊系统有三个输入和一个输出。给出了三相电流信号的幅度被检测到模糊系统,并且检测到定子相关的故障。通过实验数据集测试所提出的方法的有效性,并与MATLAB模糊逻辑工具箱的结果进行了比较。实验结果表明,该方法为感应电机的故障检测提供了非常高效且可靠的结果。

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