An Improved Direct Torque Control Topology of a Double Stator Machine Using the Fuzzy Logic Controller

In this paper, a dual stator induction machine is studied. This nonlinear system is built on the Matlab/Simulink tool to test the efficiency of the direct torque control loop for controlling this complicated system. It makes the speed and torque tracking more comfortable. On the other side, it is mandatory to assure the independence of the electrical alimentation of the dual stator. All these goals are guaranteed with this direct torque control technique. The conventional direct torque control loop is based on the switches' controllers. This method makes many fluctuations in the speed performances, the flux evolution, and the electromagnet torque progress. The conventional direct torque control drawbacks are resolved by improving this control loop using the fuzzy control topology. Then, an improved direct torque control loop using the intelligent controllers is presented to control the torque and speed of a dual stator induction machine and supervise the two stator fluxes and currents. Matlab/Simulink tool was used for implanting this innovation and showing the behavior of the results.

Automated summary

This paper investigates the direct torque control technique for a dual stator induction machine using Matlab/Simulink, improving upon the conventional control loop by addressing its drawbacks. Through the use of fuzzy control topology and intelligent controllers, better speed and torque tracking is achieved.