LYAPUNOV based predictive DTC algorithm for induction motors

A model predictive DTC algorithm used for the Lyapunov stability function based DTC of induction motor control is presented in the paper. It is proposed as an alternative to the classical approaches based on the look-up tables, where the contribution of electromotive force is not considered. An appropriate Lyapunov function is chosen and, based on its derivative, optimal stator voltage vector is determined to be applied to the induction motor by the inverter. Also an appropriate torque and flux observer is proposed. The approach can be applied by either the DSP- or FPGA-based hardware making the advantage of the possible parallelization of computing. Both, simulation and experimental results are provided in order to demonstrate the performance.