Design and Operation of Internet of Things-Based Monitoring Control System for Induction Machines

被引:3
作者
Ioannides, Maria G. [1 ]
Koukoutsis, Elias B. [1 ]
Stamelos, Anastasios P. [1 ]
Papazis, Stylianos A. [2 ]
Stamataki, Erofili E. [1 ]
Papoutsidakis, Athanasios [3 ]
Vikentios, Vasilios [4 ]
Apostolakis, Nikolaos [5 ]
Stamatakis, Michael E. [1 ]
机构
[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, Athens 15780, Greece
[2] Democritus Univ Thrace, Sch Engn, Dept Elect & Comp Engn, Xanthi 67100, Greece
[3] Programize Hellas AE, Athens 15561, Greece
[4] Cosmote, Athens 15124, Greece
[5] Univ Carlos III Madrid, Sch Telemat Engn, Madrid 28911, Spain
关键词
Internet of Things; electric drives; machine control; microprocessors; microcontrollers; sensors; ENERGY-CONVERSION SYSTEMS; INDUSTRY; 4.0; MOTOR; IMPLEMENTATION; OPTIMIZATION; PERFORMANCE; SPEED; MODEL; IOT;
D O I
10.3390/en16073049
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The technology of Internet of Things (IoT) can be integrated with systems of electrical machines, for electric drives and wind and solar generation systems, and advance controlling and monitoring. This work presented recent research and progress of electrical drives with IoT technology, regarding design, operation, and trial of the control system for induction motors (Iota M). Also, the developed software code and hardware units for speed control were detailed and the results obtained from tests of performance of the Iota M integrated with IoT were described. With the IoT integration set-up, the operator can control the frequency values, obtain real-time feedback of the process, and monitor the system during varying loads in steady state. The operation of the Iota M system driven by inverter and its monitoring over IoT was proven to have high-accuracy speed control and increased efficiency at supersynchronous speeds. Thus, IoT establishes potentials to become a multipurpose tool in the industrial control of electric drives. This paper established one case study of an IoT set-up and control technique for IM, which is suitable for energy engineering experts in the field of IoT control of industrial equipment.
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页数:22
相关论文
共 72 条
[1]  
Abid G., 2020, P 3 INT C COMP MATH, P1, DOI [10.1109/iCoMET48670.2020.9073809, DOI 10.1109/ICOMET48670.2020.9073809]
[2]   Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications [J].
Al-Fuqaha, Ala ;
Guizani, Mohsen ;
Mohammadi, Mehdi ;
Aledhari, Mohammed ;
Ayyash, Moussa .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04) :2347-2376
[3]  
allegromicro, ALL MICR
[4]  
[Anonymous], About us
[5]  
[Anonymous], about us
[6]  
[Anonymous], About us
[7]  
Code, ABOUT US
[8]  
contact, CONT SOFTW
[9]   IoT Based Condition Monitoring and Control of Induction Motor Using Raspberry Pi [J].
Dehbashi, N. ;
SeyyedHosseini, M. ;
Yazdian-Varjani, A. .
2022 13TH POWER ELECTRONICS, DRIVE SYSTEMS, AND TECHNOLOGIES CONFERENCE (PEDSTC), 2022, :134-138
[10]   Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis [J].
Dos Santos, Jhennifer F. ;
Tshoombe, Bendict K. ;
Santos, Lucas H. B. ;
Araujo, Ramon C. F. ;
Manito, Allan R. A. ;
Fonseca, Wellington S. ;
Silva, Marcelo O. .
IEEE ACCESS, 2023, 11 :1682-1693