Function approximation based augmented backstepping control for an induction machine
WSEAS Transactions on Systems and Control
Hi-index | 0.00 |
The paper emphasis a solution for induction motor speed control. The paper presents a vector control model of induction machine with four parameters only. The main advantage of this minimum number of parameters model consists in the measurements possibilities of them. This parameters result univocally from the identification procedures. This minimum number of parameters model preserves the dynamic behavior of the motor. This model minimizes the uncertainty of the model parameters. The indirect vector control structure was reformulated according to this model, simulated with MATLAB, and implemented with a floating-point DSP processor. The experimental results show good transient and steady-state performances. The accuracy of the results is given by the precision of the motor model used.