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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics
Khoi, Tran Van
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Computer Science & IT Electrical & Electronics Engineering

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Cascaded H-bridge 7-level inverter application for air exhaust fan drive control of Thu Thiem road tunnel Thu Anh, An Thi Hoai; Cuong, Tran Hung; Khoi, Tran Van
Bulletin of Electrical Engineering and Informatics Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i1.8490

Abstract

The Thu Thiem road tunnel in Vietnam is crucial in reducing traffic congestion and ensuring the safety of those passing through, thanks to its ventilation system that generates clean air. This fresh air production is primarily supported by two exhaust fans at both ends of the tunnel in the eastern and western towers. However, the fans have a power capacity of several hundred kW and operate at kilovolt-level voltage, which is unsuitable for conventional inverters. Therefore, this paper proposes a 7-level inverter to feed the exhaust fan drive motor. The 7-level inverter improves the output voltage quality, and the output current and voltage have reduced the harmonic distortion significantly. The outstanding advantages of this inverter are verified through MATLAB/Simulink simulation software compared to a 3-level inverter.
Application of the model reference adaptive system method in sensorless control for elevator drive systems using 3-Phase permanent magnet synchronous motors Khoi, Tran Van; Anh, An Thi Hoai Thu; Hieu, Tran Trong
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i1.pp149-157

Abstract

Improving sensorless control performance in elevator drive systems using three-phase permanent magnet synchronous motors (PMSM) has become increasingly popular to reduce costs and enhance system stability. The primary operation of the elevator involves motor mode when the cabin moves upward and shifts to generator mode or braking mode under the influence of gravity when moving downward. This presents significant challenges for sensorless control. To address these issues, the model reference adaptive system (MRAS) based on the mathematical d-q axis model of the PMSM is proposed to estimate rotor speed and position. Combined with field-oriented control (FOC), this method optimizes performance and precisely controls motor torque without requiring physical sensors. Additionally, a low-pass filter is employed to process input signals, such as voltage and current, to improve estimation accuracy and optimize speed response. Simulation results from MATLAB/Simulink demonstrate highly accurate speed responses, particularly under continuous load variations.
Co-Authors Anh, An Thi Hoai Thu Cuong, Tran Hung Hieu, Tran Trong Thu Anh, An Thi Hoai