https://orcid.org/0000-0003-0143-564X
![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
This paper presents the torque ripple analysis of a brushless DC (BLDC) motor. This torque ripple is generated by generating the ripple in the stator current. For reducing the ripple, a phase-modulated model predictive current control strategy has been implemented in an MMC-fed BLDC motor. The performance of the torque ripple of the BLDC motor is enhanced by using the proposed phase-modulated model predictive control (PMMPC) technique as compared to the model predictive control (MPC) and proportional-integral (PI) controller. Moreover, the performance of the torque ripple is enhanced by increasing the switching frequency for all controllers. A comparative analysis of the torque ripple of the BLDC motor is depicted for different current control and different switching frequency. A harmonic distribution is also shown for all control techniques at switching frequencies of 1, 5, and 10 kHz. The harmonic content is minimum for the PMMPC technique when compared to the other mentioned control technique. The experimental validation of simulation results has also been done here.
DISCLOSURE STATEMENT
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Rahul Jaiswal
Rahul Jaiswal received the BTech degree in electrical engineering from the National Institute of Technology, Silchar Assam India, in 2012, the MTech degree from Delhi Technological University (Formerly Delhi College of Engineering), Delhi India, in 2015 and PhD degree from the Department of Electrical Engineering, Motilal Nehru National Institute of Technology, Allahabad, India, in 2021. He is currently working in IIT Delhi as a research associate in CARE Department. His research interests include power electronic devices, converters, inverters, Model predictive control, and control system. E-mail: [email protected]
Anshul Agarwal
Anshul Agarwal was born in Mathura, India, on May 5, 1984. He received the BTech degree in electrical and electronics engineering from the Uttar Pradesh Technical University, Lucknow, India, in 2007, the MTech (Gold Medalist) and a PhD degree in power electronics and ASIC design from MNNIT, Allahabad, India, in 2009 and 2013, respectively. He is currently working as assistant professor in the Department of Electrical Engineering, at NIT Delhi. His research interests include power electronic devices, converters, AC/ACconverters, renewable energy & FPGA design. E-mail: [email protected]
Richa Negi
Richa Negi received the BTech degree in electrical engineering and an MTech degree in power systems from REC (now NIT), Kurukshetra, India, in 1992 and 1994, respectively, and PhD degree in control systems from MNNIT, Allahabad, India, in 2013. She is currently working as professor in the Department of Electrical Engineering, at MNNIT Allahabad. Her research interests include multidimensional control systems, nonlinear control and systems, WAMS and smart grid. E-mail: [email protected]