MRAS Based Model Predictive Torque Control of Induction Motor Drive for Electric Vehicles

被引：7

作者：

Boyar, Aydin ^{[1
]}

Kabalci, Ersan ^{[1
]}

Kabalci, Yasin ^{[2
]}

机构：

[1] Nevsehir Haci Bektas Veli Univ, Fac Engn & Arch, Elect & Elect Engn, Nevsehir, Turkey

[2] Nigde Omer Halisdemir Univ, Fac Engn, Elect & Elect Engn, Nigde, Turkey

来源：

2022 IEEE 4TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2022) | 2022年

关键词：

MRAS; model predictive torque control; ANPC inverter; INVERTERS; MACHINE;

D O I：

10.1109/GPECOM55404.2022.9815689

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 number of fossil fuel vehicles is increasing day by day in the world. Studies on the EVs having zero emissions enhance, since fossil fuel vehicles cause environmental pollution. The converter and inverter topologies are used in the structure of EVs according to motor types. An inverter circuit is needed to convert the dc voltage obtained from the batteries to ac voltage. The inverter affects performance of the electric motor used in EVs. Three phase three level active neutral point clamping (ANPC) inverter topology is one of the multilevel inverter topologies is preferred in this study since it has high power quality. The induction motor, which has simple structure and low cost maintenance, is widely used in the EVs. In this study, speed sensorless induction motor drive has been modelled for EVs. The required switching pulses for ANPC inverter are obtained by the developed model predictive controller (MPC) for torque control of induction motor. The speed value of induction motor required for MPC has been obtained by the model reference adaptive system (MRAS) method. The proposed induction motor drive for EVs has been analyzed under variable speed and torque values.

引用

页码：51 / 56

页数：6

共 33 条

[1]

Ankarao Mogili, 2018, 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), P892, DOI 10.1109/ICPEICES.2018.8897401

[2]

Bao GQ, 2017, CONFERENCE PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), P341, DOI 10.1109/CCSSE.2017.8087953

[3] Implementation of a New MRAS Speed Sensorless Vector Control of Induction Machine [J].

Benlaloui, Idriss ;

Drid, Said ;

Chrifi-Alaoui, Larbi ;

Ouriagli, Mohammed .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2015, 30 (02) :588-595

[4]

Bhaumik A, 2018, 2018 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES)

[5] 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

[6]

Brückner T, 2001, IEEE POWER ELECTRON, P1135, DOI 10.1109/PESC.2001.954272

[7] Current control strategies for single phase grid integrated inverters for photovoltaic applications-a review [J].

Chatterjee, Aditi ;

Mohanty, Kanungo Barada .

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 92 :554-569

[8] Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects [J].

Choudhury, Subhashree ;

Bajaj, Mohit ;

Dash, Taraprasanna ;

Kamel, Salah ;

Jurado, Francisco .

ENERGIES, 2021, 14 (18)

[9] Techno-Economic Comparison of Total Cost of Ownership of Electric and Diesel Vehicles [J].

Desreveaux, Anatole ;

Hittinger, Eric ;

Bouscayrol, Alain ;

Castex, Elodie ;

Sirbu, Gabriel Mihai .

IEEE ACCESS, 2020, 8 :195752-195762

[10] Advanced speed sensorless control strategy for induction machine based on neuro-MRAS observer [J].

El Merrassi, Weam ;

Abounada, Abdelouahed ;

Ramzi, Mohamed .

MATERIALS TODAY-PROCEEDINGS, 2021, 45 :7615-7621

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