Fuzzy Logic Based Controllers for Speed Control of BLDC Motor
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
owing to increase in variety of demands in industries, brushless dc (bldc) motor has achieved centre stage in all kinds of demands. This paper presents the application of state-of-the-art controllers to bldc motors for overall improvement in performance. The improvement in torque-speed characteristics at load and at no load is of utmost importance in industrial setups. The improvement in performance of the motor can be achieved by optimizing the motor design. Also it can be realized by implementing the advanced control strategies. To achieve the desired level of performance, the motor requires suitable speed controllers. In view of the fuzzy logic merits, this paper presents the design and implementation of tsk type flc, type-2 flc and pid controller with fuzzy compensation for the speed control of bldc motor. The control techniques applied have been evaluated in terms of various performance criteria and a comparative analysis has been carried out. The control and simulation had been performed in matlab simulink©. The comparative study of responses of tsk flc, type-2 flc and pid controller with fuzzy compensation shows that type-2 flc is better than other controllers.
Authors and Affiliations
Ajai Kumar Singh, Ankit Chhaba, Ajay Chhillar, Ashish Ranga, Rahul Dahiya
Keywords
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- EP ID EP24530
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