A Combinational Sequence Duty Ratio Control of SPV Fed Variable Speed Induction Motor Drive Using Field Oriented Control

Abstract

This paper emphasizes the performance of solar photovoltaic (SPV) fed field-oriented control (FOC) based induction motor drive (IMD) using combinational sequence (CBS) based duty ratio control (DRC). The low-efficiency problem of SPV panels is resolved with the help of the maximum power point tracking (MPPT) algorithm. Here, the incremental conductance (INC) algorithm and the boost converter extract maximum power from the SPV system. Moreover, the control of IMD is performed using FOC and a 2-level 3-Φ inverter. Furthermore, the reduction voltage/current total harmonic distortion (THD) in IMD is achieved using PWM techniques. Here, the proposed CBS-DRC is a combination of switching sequences in every sector region. However, CBS's operation selects the less area of root mean square (RMS) of stator flux ripples (SFRs) to improve the voltage/current profile of the 3-Φ IMD. Consequently, the reduced torque ripple and speed variations are achieved with the proposed CBS-DRC compared to 0127 sequences. However, the switching sequences are implemented in real-time using the DSPACE DS-1104 controller. Also, a comparison of the overall performance of IMD using 0127 sequence DRC and the proposed CBS-DRC at various loading conditions is disclosed.

Keywords:

• photovoltaic
• boost converter
• MPPT
• induction motor drive
• field oriented control
• CBS-DRC

Additional information

Notes on contributors

Ankireddy Narendra

Ankireddy Narendra received the B.Tech degree in Electrical and Electronics Engineering from JNTU Kakinada, Andhra Pradesh, India, in 2011 and the ME degree in Electrical Engineering in 2015 from Andhra University, Andhra Pradesh, India. He is currently pursuing his Ph.D. from the National Institute of Technology, Rourkela, India. His area of research includes electrical drives, renewable energy sources, multilevel inverters, and variable frequency drives.

Venkataramana Naik N

Venkataramana Naik N received the B.Tech. degree in electrical and electronics engineering from Sri Krishnadevaraya University, Anantapur, India, in 2006, the M.Tech. degree in power electronics from Jawaharlal Nehru Technological University Anantapur, Anantapur, India, in 2009, and the Ph.D. degree from the Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India, in 2016. He is a Young Professional of IES. He is currently an Assistant Professor with the Department of Electrical Engineering, National Institute of Technology, Rourkela, Odisha, India. His research interests include pulse-width modulation techniques, power electronic control of induction motor drive, multilevel inverters, nonconventional energy sources, solid-state transformers, and artificial intelligence applications.

Anup Kumar Panda

Anup Kumar Panda received a B.Tech degree in electrical engineering from Sambalpur University, Sambalpur, India, in 1987, an M.Tech. degree in power electronics and drives from the Indian Institute of Technology, Kharagpur, India, in 1993, and the Ph.D. degree from Utkal University, Bhubaneswar, India, in 2001. From 1990 to 2001, he was a Lecturer with IGIT, Sarang, In January 2001; he joined as an Assistant Professor with the National Institute of Technology, Rourkela, India, where he is currently a Professor HAG with the Department of Electrical Engineering. He has authored or coauthored more than 100 articles in journals and conferences. He has completed two MHRD projects, one CSIR, and one NaMPET project. He has also guided 20 Ph.D. scholars and is presently guiding ten scholars in the area of power electronics and drives. He is a fellow of the Institute of Engineering, and Technology (IET), UK, Institute of Engineers (IE), India, and the Institute of Electronics and Telecommunication Engineering (IETE). Dr. Panda was the recipient of the Institute Endowed Chair Professor Award in 2018. His research interests include the design of high-frequency power conversion circuits and applications of soft computing techniques, improvement in multilevel converter topology, power factor improvement, power quality improvement in power systems, and electric drives.