Neural Sensorless Control of Induction Motor

In this paper are presented the problems for realization of direct adaptive neural sensorless control in combination with vector principle for induction motor control. Control system containing neural controllers of the speed and flux channels and neural speed estimator is proposed. These neural controllers perform a function of both speed and active stator current controllers (for the first channel), and respectively flux and excitation stator current controllers (for the second channel) compared to classical vector control. Neural speed estimator is designed as a neural model of the plant. For the controllers and estimator are used on-line trained backpropagation neural networks. Simulation research confirmed sufficient system performance at wide range input signal variation is done.