Grey-Fuzzy Implementation of Direct Torque Control of Induction Machines

A system with fast torque response is very beneficial in applications where direct torque control (DTC) is highly desirable. The principle of DTC is to control machine torque and flux directly by selecting the switching states of inverter according to the errors of torque and flux; however, the response of direct torque control is slower during start-up and during change in load. Fuzzy control with grey prediction strategy is proposed for the implementation of DTC to improve its slow response. Moreover, it uses less sensors than the conventional method. Experimental implementation of the fuzzy logic controller and the grey predictor is carried out to verify the behavior of the controller. The controller is implemented with a single board computer that uses a TMS320C30 DSP.