V.Suresh, Joseph Jawahar



Speed Control of BLDC motor using ANFIS over conventional Fuzzy logic techniques

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This work proposes a specific controller for Brushless DC motor and a comparative study has been reviewed with intelligent controllers like fuzzy logic controllers and Adaptive Neuro Fuzzy Inference system. A detailed analysis is done through simulation using Matlab Simulink tool. The performance of Brushless DC motor is analyzed and the dynamic characteristics of the motor is also observed .The system control parameters like peak overshoot, undershoot, rise time recovery time and steady state error are measured and their results are compared with the ANFIS and Fuzzy controllers. To validate the performance of the controller different conditions and loading criteria has been done.


DC (BLDC) motor, Adaptive Neuro Fuzzy Inference system (ANFIS), Fuzzy Tuned PID


[1] G.Sakthival,T.S.Anandhi and S.P. Natarajan, “Real time implementation of DSP based Fuzzy logic controller for speed control of BLDC motor,”In t.Jou.Comp.App.vol.10,no.8.2010

[2] K.NagaSujatha, K. Vaisakh and Anand.G,”Artifical Intelligence based speed control of brushless DC motor”,IEEE trans.vol..10,no.4,2010

[3] Yen-Shin Lai,Yong-kaiLin,”A unified approach to zero-crossing point detection of back EMF for brushless DC motor drives without current and hall sensors”, IEEE Trans,PowerElectron,vol 26.no 6,2011

[4] SalihBarisOzturk, Hamid A, Toliyatcai,”Direct torque and indirect flux control of brushless DC motor”,IEEE ASME Trans,Mech,16,2011.

[5] Nikola AnandSathyan, YoungjooMilivojevic, MaheshLee,”An FPGA-based novel digital PWM control scheme for BLDC motor drives”,IEEE Trans.Ind.Electron.vol.56,no 6,2009.

[6] M.R.Alizaedehpahlavani,M.Barakat,”Comparsion between fuzzy and adaptive fuzzy controllers for BLDC motors”,IEEE trans.ppo1-08.2011.

Cite this paper

V.Suresh, Joseph Jawahar. (2017) Speed Control of BLDC motor using ANFIS over conventional Fuzzy logic techniques. International Journal of Power Systems, 2, 65-69


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