Abstract
This article presents the design and stability analysis of real power-based stator resistance estimation method for sensorless control of permanent magnet synchronous motors (PMSM) using of model reference adaptive system. The proposed method uses a direct torque and flux control scheme with space vector modulation for PMSM control. The speed, torque, and flux PI controllers are designed in the synchronous reference frame and their stability is analyzed besides stator resistance estimation stability. The proposed method is implemented on a PMSM drive fed by two-level, three-level, and five-level inverters and the performance is validated through experimental and simulation results under different operating conditions. The results proved that the proposed method provides an accurate and stable estimation of stator resistance and improved control performance of the PMSM drive.
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Ramakrishna Pothuraju
Ramakrishna Pothuraju has received B. Tech degree in Electrical and Electronics Engineering from JNTU Anantapur, India in 2014. He received the M. Tech degree in Electrical Engineering Department from National Institute of Technology Kurukshetra, India, in 2018. He is currently working toward Doctor of Philosophy degree in Electrical Engineering Department, from National Institute of Technology Andhra Pradesh, India, Since 2019, July. His research interests include electrical machines, multi-level inverters, power electronics and drives, renewable energy sources, and applications of fault tolerant techniques to multilevel inverters.
Tejavathu Ramesh
Tejavathu Ramesh has received the B.Tech. degree in Electrical and Electronics Engineering from JNTU Hyderabad, India, in 2009. He received the M.Tech. and Ph.D. degrees in Electrical Engineering from the National Institute of Technology, Rourkela, India, in 2011 and 2016, respectively. He is currently working as an Assistant Professor in the Department of Electrical Engineering at National Institute of Technology Andhra Pradesh, India. He has published his research in 25+ articles in reputed international journals and conferences. His research interests include renewable energy sources, electrical machines, power electronics and drives, applications of soft computing techniques.