FPGA Implementation of Fuzzy Inference System for Real-Time Applications

K.M. Al-Aubidy (Jordan)


FPGA, Fuzzy inference system, PM motor, Real-time systems, Washing machine


Implementing algorithms in software limits the performance of real-time systems, since the data is processed serially. The new generation of FPGAs with embedded processors are attracting the interest of the real-time applications. With enhanced capabilities most of the processing tasks can be loaded from the software program stack to embedded processors on the FPGA to improve performance and reduce the cost of the whole system. A fuzzy inference system has been implemented on an FPGA, and used to control a PM motor in a washing machine. The given results demonstrate the capability of such embedded controller in washing machine applications where simplicity, reliability and stability are more important issues.

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