Design of Adaptive Fuzzy PI Controller for Electric Vehicle with BLDC Drives
Soundarya G1, Jayant Sharma2, Karthikaikannan D3, Balasundar C4, Sundarabalan CK5
1Soundarya G, School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India.
2Jayant Sharma, School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India.
3Karthikaikannan D, School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India.
4Balasundar C, School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India.
5Sundarabalan CK, School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India.
Manuscript received on 29 August 2019. | Revised Manuscript received on 08 September 2019. | Manuscript published on 30 September 2019. | PP: 2479-2483 | Volume-8 Issue-11, September 2019. | Retrieval Number: K17210981119/2019©BEIESP | DOI: 10.35940/ijitee.K1721.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Electric vehicles in concern with its innumerable advantages, replaces the internal combustion engine vehicles (ICEV). The efficiency and performance of the Electric Vehicle (EV) depends mainly on the electric motor and its control technique. The Brushless DC (BLDC) Motor is used as the electric motor in the EV as it has high efficiency and high starting torque. The sensorless direct torque control technique is used to enhance the performance of the EV. The Adaptive Fuzzy PI (AFPI) Controller is the proposed controller in the EV. The comparison of reference torque and actual torque produce the error. It is applied to the AFPI controller which produces an output of reference torque. The EV with stationary reference frame theory of direct torque control with AFPI controller is simulated using MATLAB/SIMULINK.
Keywords: Adaptive fuzzy PI controller, Battery, BLDC motor, Direct torque control, Electric vehicle
Scope of the Article: Adaptive Systems