Model Predictive Torque Control-Based Induction Motor Drive with Remote Control and Monitoring Interface for Electric Vehicles

被引:6
作者
Boyar, Aydin [1 ]
Kabalci, Ersan [1 ,2 ]
Kabalci, Yasin [2 ]
机构
[1] Nevsehir Haci Bektas Veli Univ, Fac Engn & Architecture, Dept Elect & Elect Engn, Nevsehir, Turkiye
[2] Nigde Omer Halisdemir Univ, Fac Engn, Dept Elect & Elect Engn, Nigde, Turkiye
关键词
multilevel inverter; ANPC inverter; model predictive torque control; IoT; induction motor drive; electric vehicle; CONTROL STRATEGIES; MACHINES; TECHNOLOGIES; CHALLENGES; INTERNET;
D O I
10.1080/15325008.2023.2211581
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
While the increased use of internal combustion engine vehicles raises carbon emissions, electric vehicles (EVs) are becoming more important for reducing air pollution. EV production costs are decreasing as technology advances since they are typically powered by alternating current induction machines (ACIM). In EV configurations that are propelled with ACIM, an inverter is required to obtain appropriate voltage levels to drive the IM. Multilevel inverters are widely preferred in the industry for DC-AC voltage conversion due to their high-power quality. In this study, the ACIM is supplied with the appropriate voltage using an active neutral point clamped (ANPC) inverter. The ANPC inverter acting as ACIM driver is controlled with model predictive torque control. The simulation of the proposed ACIM drive has been performed with torque and speed control features to determine the operational features of the experimental test bench. Furthermore, the designed ACIM drive includes remote control and monitoring functions via an Internet of Things-based module. This allows for instant monitoring of the input, output, and current values of the ANPC inverter. The graphical monitoring function is used to track the speed and torque values of ACIM while the speed can be changed remotely via the web interface.
引用
收藏
页码:2159 / 2170
页数:12
相关论文
共 40 条
[1]   Continuous Control Set-Model Predictive Control for Torque Control of Induction Motors in a Wide Speed Range [J].
Ahmed, Abdelsalam A. ;
Koh, Byung Kwon ;
Lee, Young Il .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2018, 46 (19-20) :2142-2158
[2]   Internet of Things security: A survey [J].
Alaba, Fadele Ayotunde ;
Othman, Mazliza ;
Hashem, Ibrahim Abaker Targio ;
Alotaibi, Faiz .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 88 :10-28
[3]  
Ammar A., 2018, 2018 INT C EL SCI TE, P1, DOI [10.1109/CISTEM.2018.8613419, DOI 10.1109/CISTEM.2018.8613419]
[4]  
[Anonymous], HCPL 7840 IS AMPL
[5]  
[Anonymous], ESP32 S2 SER
[6]  
[Anonymous], ACPL C87
[7]  
Bayhan S., 2018, Power Electronics Handbook, P1325
[8]   MRAS Based Model Predictive Torque Control of Induction Motor Drive for Electric Vehicles [J].
Boyar, Aydin ;
Kabalci, Ersan ;
Kabalci, Yasin .
2022 IEEE 4TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2022), 2022, :51-56
[9]   Design of Model Predictive Controller for Current Control of ANPC Inverter [J].
Boyar, Aydin ;
Kabalci, Ersan .
2021 IEEE 3RD GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2021), 2021, :50-55
[10]  
Brückner T, 2001, IEEE POWER ELECTRON, P1135, DOI 10.1109/PESC.2001.954272