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All Journal Indonesian Journal of Electrical Engineering and Computer Science International Journal of Multidisciplinary Sciences and Arts
Jianhua Zhang
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Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Improved Field-Oriented Control for PWM Multi-level inverter-Fed Induction Motor Drives Daniel Legrand Mon Nzongo; Emilienne Leugoue; Jianhua Zhang; Gabriel Ekemb
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 2: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i2.pp481-492

Abstract

This paper proposes a new approach to ensure the torque decoupled to the rotor flux of an induction machine based on the Field Oriented Control (FOC). The suggested method consists of inserting into the conventional d-q synchronous current controller, coupling terms of motor and multi-level inverter models. Making, the dynamic response of stator current components decoupled as well as the rotor flux and torque. In this paper, the mathematic model of an induction motor and multi-level inverter are first derived. Then, the synchronous current controller and modulation strategy for high power inverters are investigated. Finally, the validation through implementation and simulation of a 4.16 kV electric drive with MATLAB/Simulink and SimPowerSystems is performed.  The model simulated in this paper includes an induction motor, nine-level cascaded H-bridge inverter and a carrier based space vector pulse-width-modulation.The results of the simulations of each method has been recorded and the comparison results reveal that the proposed method effectively maintains the rotor flux decoupled to the torque.
Impact of knowledge management, innovation and cloud computing on research Adil Hayat; Jianhua Zhang; Ajaz Sadiq; Nibah Begum
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 2 (2023): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2270

Abstract

This Review article delves into the intricate relationship between knowledge management, innovation, and cloud computing, and their transformative impact on research across diverse fields. Drawing upon a wide range of literature, the article critically assesses the potential of these technologies in reshaping the landscape of scientific research, social science research, business and management, and education. The review highlights key insights and findings that showcase the immense possibilities of cloud-based solutions in revolutionizing research practices, including real-time data sharing, enhanced collaboration, and seamless access to cutting-edge tools and resources. However, the article also acknowledges the complex challenges that come with the adoption and implementation of cloud-based solutions, such as data security and privacy concerns, and the high costs associated with transitioning to these technologies. Despite these challenges, the article concludes that the advantages of these transformative technologies far outweigh the obstacles and that they offer unprecedented opportunities to transform research practices, spark innovation, and catalyze groundbreaking discoveries
Co-Authors Adil Hayat Ajaz Sadiq Daniel Legrand Mon Nzongo Emilienne Leugoue Gabriel Ekemb Nibah Begum