CARRIER BASED PWM TECHNIQUE AND ADAPTIVE NEURAL NETWORK BASED ROTOR RESISTANCE ESTIMATOR FOR THE PERFORMANCE ENHANCEMENT OF VECTOR CONTROLLED INDUCTION MOTOR DRIVES

Venkadesan A

Abstract


In this paper, the carrier based Pulse Width Modulation (PWM) technique and neural network based rotor resistance estimator are proposed for vector controller Induction motor (IM) drives. The popular sine PWM is used for induction motor drive. The popular sine PWM has poor harmonic profile and (DC) utilization. The space vector modulation (SVM) technique overcomes the disadvantages of sine PWM. But SVM is computationally complex. Hence a simple PWM technique namely “carrier based PWM technique” similar to SVM is identified and proposed for vector controlled IM drive. The experimental set up is built up and the performance of carrier based PWM is validated using FPGA processor. The adaptive neural network based rotor resistance estimator in predictive mode is proposed for the vector controlled induction motor drive. The performance enhancement of the drive with carrier based PWM and rotor resistance estimator is comprehensively presented.

 


Keywords


Carrier based PWM technique; Rotor resistance estimator; MRAS; Adaptive neural network; Vector control; Induction motor drive.

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References


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DOI: http://dx.doi.org/10.24200/tjer.vol16iss1pp63-76

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