Direct self control of induction motor based on neural network

This paper presents an artificial neural network based direct self control (ANN-DSC) scheme for an inverter-fed three-phase induction motor. In order to cope with the complex calculations required in DSC, the proposed ANN system employs the individual training strategy with the fixed-weight and the supervised models. A computer simulation program is developed using Matlab/Simulink together with the Neural Network Toolbox. The simulated results obtained demonstrate the feasibility of ANN-DSC. Compared with the classical DSP-based DSC, the proposed ANN-based scheme incurs much shorter execution times and hence the errors caused by control time delays are minimized