Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 02007 | |
Number of page(s) | 14 | |
Section | Electric Drives and Vehicles | |
DOI | https://doi.org/10.1051/e3sconf/202454002007 | |
Published online | 21 June 2024 |
Improved Direct Torque Control of Induction Motor in MATLAB
Murugan R, Associate Professor, Department of Computer Science and Information Technology, Jain (Deemed to be University), Email Idmurugan@jainuniversity.ac.in, Bangalore, India
Aasheesh Raizada, Assistant Professor, Department of Computer Science Engineering, Sanskriti University, Email Idaasheesh.cse@sanskriti.edu.in, Mathura, Uttar Pradesh, India
Preeti Naval, Assistant Professor, Maharishi School of Engineering & Technology, Maharishi University of Information Technology, Email Ider. preetinaval09@gmail.com, Uttar Pradesh, India
Kuldeep Singh Kulhar, Professor, Civil Engineering, Vivekananda Global University, Email Id-k.singh@vgu.ac.in, Jaipur, India
* Corresponding Author: murugan@jainuniversity.ac.in
Induction motors based electric drives are dominated in many applications due to their superior characteristics over other drives including cost. An effect control method is required to reduce ripples in the torque. A direct torque control (DTC) is implemented by various scholars recently, however for further reduction of ripples in torque a modified DTC is implemented in this paper. The proposed method considerably alleviates the computational burden of control technique on chip. The selection of inverter switching vectors is identified for restricting the torque and flux errors within their respective hysteresis bands. Fastest responses of torque, speed and flux are achieved. This paper also includes the incorporation of modeling and designing of DTC with induction motor to enhance comprehension. Extensive results under various operating conditions are presented in this paper to enhance the importance of the improved DTC.
Key words: DTC / Induction motor / SVPWM / torque ripple minimization / modeling
© The Authors, published by EDP Sciences, 2024
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