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Stator Resistance Estimation Of Modified DTC IM Drives Using Fuzzy Logic

Naveen Goel*, Iftikhar Ahmed**, Saji Chacko***

* Research Scholar, Swami Vivekanand Technical University, Bhilai (C.G.), India.

** Professor, Department of Electrical and Electronics Engineering, Shri Shankaracharya Technical Campus, Bhilai, India.

*** HOD, Department of Electrical, Government Polytechnic College, Durg, Chhattisgarh, India.

Periodicity:January - March'2018
DOI : https://doi.org/10.26634/jee.11.3.14125

Abstract

The electric drives used in industries have adjustable speed drives, where AC Induction motors are used in most of these drives. Due to their low cost, reliability, and performance, they find application in a variety of domains. A number of techniques are reported in the literature for control of induction motor drive. Amongst them, the most advanced and popular technology is the Direct Torque Control (DTC) drive. The control strategy of DTC Induction motor drive requires estimation of torque and flux. The estimation of flux depends on stator resistance (R_s). During drive operation, the motor temperature increases. With increase in motor temperature, the R_sincreases and it is found that the change in R_s is normally in between 0.75 to 1.7 times to its normal value. This leads to erroneous flux estimation leading to high flux and torque ripple. Therefore, an online estimation of R_s is required for robust performance of DTC drive. In this paper, the estimation of R_s based on the variation of stator current is proposed. The estimation is based on model reference adaptive system with the adaptive mechanism using the Proportional Integral (PI) and Fuzzy Logic Controller (FLC). The performance of the DTC drive using the two different adaptive mechanisms is compared and the results obtained show improved performance in terms of motor speed, torque, and flux developed despite changes in R_s .

Keywords

Low Pass Filter, Fuzzy Logic, Direct Torque Control, Induction Motor, PI Controller.

How to Cite this Article?

Goel, N., Patel, R. N., and Chacko, S. (2018). Stator Resistance Estimation Of Modified DTC IM Drives Using Fuzzy Logic. i-manager’s Journal on Electrical Engineering, 11(3), 34-44. https://doi.org/10.26634/jee.11.3.14125

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