New model of electric traction drive based sliding mode controller in field-oriented control of induction motor fed by multilevel inverter

Author:

Laoufi Chaymae,Sadoune Zouhair,Abbou Ahmed,Akherraz Mohammed

Abstract

This paper presents a new model of electric traction drive for electric vehicle. The sliding mode speed controller applied in the Indirect Rotor Field Oriented Control is used to control the induction motor fed by the five levels Neutral Point Clamped inverter (NPC). The simulation results showed the high performances dynamics and high robustness of the proposed model, that are reflected by faster startup and good speed tracking performances in terms of response time, oscillations and disturbance rejection. Also, a comparative study between different inverter topologies: two levels inverter, three levels NPC inverter and five levels NPC inverter has been carried out. From the spectral analysis, the five-levels NPC inverter fed drive provides better dynamics of voltage and current with reduced total harmonic distortion (THD).

Publisher

Institute of Advanced Engineering and Science

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive;Energies;2024-08-22

2. Effectiveness of Field Oriented Control and Direct Torque Control Methods for Induction Motor Speed Regulation;WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL;2023-12-31

3. Adaptive Backstepping Sliding Mode Control for Speed of PMSM and DC-Link Voltage in Bidirectional Quasi Z-Source Inverter;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

4. Mathematical Modeling of PMSM for Simulation of Electric Drives and Comparison with Multi Level Inverters;2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2022-12-21

5. Optimal Fuzzy Logic Controller Using Teaching Learning Based Optimization for asynchronous motor;2022 19th International Multi-Conference on Systems, Signals & Devices (SSD);2022-05-06

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