Direct Torque Control Of Machine Research Articles

Sensorless Direct Torque Control of the Six-Phase Induction Motor by Fast Reduced Order Extended Kalman Filter

In this paper, a simple extended Kalman Filter (EKF) controller for direct torque control (DTC) of a six-phase induction machine in all speed ranges is proposed. The aim of this paper is to decrease the execution time of EKF modeling of a six-phase induction motor. The proposed method is fast and can operate online. If the machine parameters are changed during the operation, the EKF algorithm is activated to find parameters used for controlling the motor. In low speed, not only the motor speed measurement but also the DTC of machine is difficult. The EKF model can estimate speed, flux, load torque, and stator resistance in low speed; thus, optimization can be performed in all loads and speed range. The proposed method increases the accuracy of DTC of the six-phase induction machine and decreases the computation cost of the system using the simplified algorithm. The simulation and experimental results verify the effectiveness and the robustness of the proposed method against parameter variations.

Study on the DTC Performance Improvement Based on Fuzzy-PI Control

There exists some problems of flux ripple and the switching frequency uncertainty in the traditional Direct Torque Control (DTC) .In order to improve the low-speed performance of the Machine direct torque control system, fuzzy direct torque control system is set up through fuzzy controller to replace Smith flip-flop ,we use fuzzy PI controller take place of traditional PI controller, also we establish the simulation model in the Matlab/Simulink environment, simulation results show that torque ripple and current distortion is decreased by use improved programs, can prove the effectiveness of this strategy.