Slip rate estimation for vehicle stability enhancement using fuzzy based electronic differential controller

Fuzzy logic based electronic differential controller (fledc) for sensorless drive based electric vehicle is presented. the proposed system consists of two brushless dc motors (bldc) that ensure the drive of the two back driving wheels of an electric vehicle. electronic differential controller (edc) can control both the driving wheel independently to turn at different speeds in any curve according to the steering angle. the sensorless control strategies include back emf zero crossing detection and third harmonic voltage integration are used to analyse the proposed system. fuzzy logic based edc is used on these sensorless control strategies which optimizes the slip rate within the specified limit. to enhances the vehicle stability,the performances in terms of optimum value of slip rate and also current,torque,back emf are obtained by the proposed method. by this investigation,a suitable control strategy has been identified and also experimentally validated. © school of engineering,taylor’s university.