Abstract
This paper, presents real time verification of an Artificial Neural Network system (ANN) with Field Programmable Analog Array control (FPAA) for a sensorless control of Switched Reluctance Motor (SRM) in automotive drives. The rotor position estimation is done using the unsaturated instantaneous flux linkages and current obtained by measuring the phase current and voltage. The converter analog control is achieved with FPAA. The SRM automotive applications are currently getting special attention as the SRM has notable advantages such as robustness, low manufacturing cost, and good size-to-power ratio. The experimental result for a 400W 8/6-SRM prototype model was presented.
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