Design of Fuzzy Logic Controller Based BLDC Motor

Brushless Direct CurrentDirect current (BLDC) motorMotor is more popular today than traditional DC motorsDC motor due to its variable loadLoad speedSpeed range and excellent torqueTorque range. Brushless motorsMotor are widely used in commercial and industrial applications because of their ability to deliver high-speedSpeed performance and operate efficiently. The speedSpeed of the BLDC motorBLDC motor is controlled using conventionalConventional controllersController and fuzzy logicFuzzy logic controllersLogic controller. Since fuzzy logicFuzzy logic provides more precise or exact results than other controllersController, it was also developed as a more efficient and reliableReliable controllerController. Here in this article, the speedSpeed of a BLDC motorBLDC motor is administered using PI, PID, and fuzzy logicFuzzy logic controllersLogic controller. The role of this controllerController is to stabilize the motorMotor during loadLoad changes while monitoring the speedSpeed changes. Fuzzy logicFuzzy logic seems to be the most accurateAccurate method for reasoning about uncertain concepts. Simulation models are created in MATLABMATLAB Simulink software with an extensive rule base. The simulation results of the fuzzy logicFuzzy logic-controlled BLDC motorBLDC motor are verified and compared with PI and PID controllersPID controller, showing optimalOptimal performance in terms of steady-state responseResponse and rise timeRise time.