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International Journal of Advanced Technology and Engineering Exploration (IJATEE)

ISSN (Print):2394-5443    ISSN (Online):2394-7454
Volume-10 Issue-105 August-2023
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Paper Title : Dual-zone control of the traction permanent magnet synchronous motor in the unmanned aerial vehicle
Author Name : Denis Kotin, Yuriy Pankrats, Artem Davydov and Ilya Ivanov
Abstract :

The study of the electric drive of unmanned aerial vehicles (UAVs) is relevant in connection with their use in many sectors of the civil industry. However, the study of new designs and controls for single-engine and multi-engine UAVs never stops, as more and more border regions begin to actively use them. The purpose of the modification is to improve the regulatory properties and reduce energy consumption for control. In this work, research, and development of a two-zone electric drive for an UAV of short and medium range, providing a flight range of up to 150 km and having a load capacity of up to 100 kg of a multi-engine type, were carried out. A potential approach for controlling the rotor speed of a permanent magnet synchronous motor (PMSM) was introduced. The study's findings are derived from two scenarios of electric drive operation: the nominal mode and the mode with an elevated rotor speed of the PMSM. Results were presented, indicating the efficiency of the algorithm under high-power conditions. The electric drive for the PMSM with two-zone control increased the speed of the PMSM rotor beyond the nominal value, with minimal losses, while also decreasing the power consumption of the UAV. Theoretical results are confirmed by simulation of a closed system in SimInTech.
Keywords : Unmanned aerial vehicles, Permanent magnet synchronous motor, Mathematical modelling, Frequency converter.
Cite this article : Kotin D, Pankrats Y, Davydov A, Ivanov I. Dual-zone control of the traction permanent magnet synchronous motor in the unmanned aerial vehicle. International Journal of Advanced Technology and Engineering Exploration. 2023; 10(105):1093-1102. DOI:10.19101/IJATEE.2022.10100564.
References :
[1]Song Z, Zhang H, Zhang X, Zhang F. Unmanned aerial vehicle coverage path planning algorithm based on cellular automata. In 15th international conference on computational intelligence and security 2019 (pp. 123-6). IEEE.
[Crossref] [Google Scholar]
[2]Shakhatreh H, Sawalmeh AH, Al-fuqaha A, Dou Z, Almaita E, Khalil I, et al. Unmanned aerial vehicles (UAVs): a survey on civil applications and key research challenges. IEEE Access. 2019; 7:48572-634.
[Crossref] [Google Scholar]
[3]Lee SG, Bae J, Kim WH. A study on the maximum flux linkage and the goodness factor for the spoke-type PMSM. IEEE Transactions on Applied Superconductivity. 2017; 28(3):1-5.
[Crossref] [Google Scholar]
[4]He X, Sun X, Wang F, Li X, Zhuo F, Luo S. Design of energy management system for a small solar-powered unmanned aerial vehicle. In 9th IEEE international symposium on power electronics for distributed generation systems 2018 (pp. 1-4). IEEE.
[Crossref] [Google Scholar]
[5]Xu X, Novotny DW. Selection of the flux reference for induction machine drives in the field weakening region. IEEE Transactions on Industry Applications. 1992; 28(6):1353-8.
[Crossref] [Google Scholar]
[6]Joshi D, Deb D, Muyeen SM. Comprehensive review on electric propulsion system of unmanned aerial vehicles. Frontiers in Energy Research. 2022; 10:1-20.
[Crossref] [Google Scholar]
[7]Carpaneto M, Marchesoni M, Vallini G. Practical implementation of a sensorless field oriented PMSM drive with output AC filter. In SPEEDAM 2010 (pp. 318-23). IEEE.
[Crossref] [Google Scholar]
[8]Kolano K. New method of vector control in PMSM motors. IEEE Access. 2023; 11: 43882-90.
[Crossref] [Google Scholar]
[9]Davydov A, Pankrats Y, Ivanov I, Bayanov E, Chipurnov S. Analysis of the application of traction engines in unmanned aerial vehicles. In electrical complexes and systems 2022 (pp. 235-43). UFA.
[Google Scholar]
[10]Zhang Y, Qi R. Flux-weakening drive for IPMSM based on model predictive control. Energies. 2022; 15(7):1-14.
[Crossref] [Google Scholar]
[11]Davydov A, Bochenkov B, Anosov V. Compact inverter for single-phase induction motor. In international Russian automation conference 2021 (pp. 74-8). IEEE.
[Crossref] [Google Scholar]
[12]Yu Y, Cong L, Tian X, Mi Z, Li Y, Fan Z, et al. A stator current vector orientation based multi-objective integrative suppressions of flexible load vibration and torque ripple for PMSM considering electrical loss. CES Transactions on Electrical Machines and Systems. 2020; 4(3):161-71.
[Crossref] [Google Scholar]
[13]Chau KT, Chan CC, Liu C. Overview of permanent-magnet brushless drives for electric and hybrid electric vehicles. IEEE Transactions on Industrial Electronics. 2008; 55(6):2246-57.
[Crossref] [Google Scholar]
[14]Schauder C. Adaptive speed identification for vector control of induction motors without rotational transducers. In conference record of the IEEE industry applications society annual meeting, 1989 (pp. 493-9). IEEE.
[Crossref] [Google Scholar]
[15]Zhang Y, Huang L, Xu D, Liu J, Jin J. Performance evaluation of two-vector-based model predictive current control of PMSM drives. Chinese Journal of Electrical Engineering. 2018; 4(2):65-81.
[Crossref] [Google Scholar]
[16]Huang MS, Chen KC, Chen CH, Li ZF, Hung SW. Torque control in constant power region for IPMSM under six‐step voltage operation. IET Electric Power Applications. 2019; 13(2):181-9.
[Crossref] [Google Scholar]