Abstract
In this paper, a hybrid stepper motor (HSM) model, open-loop control and closed-loop control are explained. To overcome the stepping nature of the HSM open-loop configuration, the closed-loop control is an essential task and is obtained with the help of the HSM mathematical model. Effective closed-loop control strategies are performed based on the field oriented control (FOC) after performing a Park transform. Those strategies are optimized PI controller and optimized gain scheduling PI controller in which the controller’s parameters are tuned optimally using a particle swarm optimization algorithm (PSO) with the integral absolute error (IAE), integral time absolute error (ITAE), and integral time square error (ITSE) performance indexes mean value as an objective function. Additionally, operation under no-load and loaded conditions are tested and compared with the traditional PI controller. The obtained results show that, under loaded conditions, the optimized gain scheduling PI controller gives better performance due to its adaptive nature.
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B. Keerthi Priya is working as an Assistant Professor in the Department of ECE, Gayatri Vidya Parishad College of Engineering (A). She recieved her Ph.D. degree from Andhra University. Her Memberships in Professional Bodies are IETE, ISSS, ISOI, IAEng, and IEEE. Her research interests include medical image processing, IoT, and AI.
D. Akhila Reddy is a student of the Department of ECE, College of Engineering, Andhra University, Vishakhapatnam. She is with the IEEE India council student coordination Team in the capacity of webinar and online training for the tenure 2021–22. She is a student Member of IETE. Her research interests include IoT and AI.
Wasim Ghder Soliman received his Ph.D. degree from the Instrument Technology Department, Andhra University, Visakhapatnam, India, in 2021. He is currently an Assistant Professor at faculty of Technical Engineering, Tartous University, Syria. His research interests include microprocessor-based control systems and Industrial Internet of Things (IIoT).
A. Daisy Rani is working as an Assistant professor in the department of Instrument Technology, Andhra University College of Engineering (A). She received her Ph.D. degree in MEMS Technologies from Andhra University in 2015. MEMS design, NANO technology, and VLSI digital circuits are her areas of research. She published more than 38 papers in the international journals.
Neelima Kalahasthi is a Professor and a Head of the Department in Electrical and Electronics Engineering, VBIT, Hyderabad with overall experience of 19 years. She is an expert in network analysis, electrical distribution systems, artificial intelligence, etc. She has published 11 conference papers and 31 papers in the international journals.
D. V. Rama Koti Reddy is currently working as a Professor in the Department Instrument Technology, A.U. College of Engineering, Andhra University, India. His other Memberships in Professional Bodies are IETE, IEEE, ASE, ISA, ISSS, IACSIT, IAEng, IE, ISOI, and Energy Conversion Mission. His field of interests includes medical image processing, IoT, nano technology, and sensor networking.
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Priya, B.K., Reddy, D.A., Soliman, W.G. et al. Hybrid Stepper Motor: Model, Open-loop Test, Traditional PI, Optimized PI, and Optimized Gain Scheduled PI Controllers. Int. J. Control Autom. Syst. 20, 3915–3922 (2022). https://doi.org/10.1007/s12555-021-0371-y
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DOI: https://doi.org/10.1007/s12555-021-0371-y