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.
|Number of pages||8|
|Journal||Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)|
|Publication status||Published - 1 Dec 2000|
|Event||35th IAS Annual Meeting and Wolrd Conference on Industrial Applications of Electrical Energy - Rome, Italy|
Duration: 8 Oct 2000 → 12 Oct 2000
ASJC Scopus subject areas
- Electrical and Electronic Engineering