Type-2 fuzzy logic controller Implementation for tracking control of DC motor

Type-2 fuzzy logic systems have recently been utilized in many control processes due to their ability to model uncertainty. This research article proposes the speed control of a DC Motor (series as well as shunt motor).The novelty of this article lies in the application of a interval type-2 fuzzy logic controller (IT2FLC) in the design of fuzzy controller for the speed control of DC Motor. The entire system has been modeled using MATLAB 7.0/Simulink type-2 toolbox. The performance of the proposed IT2FLC is compared with that of its corresponding conventional type-1 FLC in terms of several performance measures such as rise time, peak overshoot, settling time, integral absolute error (IAE) and integral of time multiplied absolute error (ITAE) and in each case, the proposed scheme shows improved performance over its conventional counterpart. Extensive simulation studies are conducted to compare the response of the given system with the conventional type-1 fuzzy controller to the response given with the proposed IT2FLC scheme.

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