Field Programmable Gate Array (FPGA) Based Neural Network Implementation of Stator Flux Oriented Vector Control of Induction Motor Drive

In this work, it is proposed the implementation of the SFOVC-ANN using field programmable gate array (FPGA). The proposed scheme assure parallel processing of the ANN, since the circuit design was done in such way that the neurons in the same layer processes the input signals in parallel. The non-linear sigmoidal transfer function is implemented using Spline Interpolation, which guarantees an excellent precision. Initially in the digest, a description of the proposed system is given. Then, the nonlinear neuron implementation strategy is explained. Following this, the FPGA implementation of ANN is described. Finally, simulation and experimental results are given to substantiate the development.