Volume 18, Issue 2 (June 2022)                   IJEEE 2022, 18(2): 13-25 | Back to browse issues page


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Azizi Moghaddam H, Farhadi A, Mohamadian S. Non-Linearity Effects of Industrial Loads on Induction Motor Servo Drive System. IJEEE 2022; 18 (2) :13-25
URL: http://ijeee.iust.ac.ir/article-1-2046-en.html
Abstract:   (1898 Views)
In the new advanced drive schemes, identification and modeling of the load complex characteristics can play an important role to predict the dynamic performance of the proposed control strategy. The novelty of this paper consists in the classification of the different types of the nonlinear loads which the electrical drive systems may encounter. In this study, nonlinear components of mechanical loads are divided into two groups. The first type includes nonlinear phenomenon caused by the nature of load which is predictable and identifiable. Another type of loads nonlinear characteristic happens due to the occurrence of a mechanical fault in motor, coupling or load parts. Generally, this type of non-intended nonlinear effect is not predictable and often occurs in the installation and operation stage of the drive system utilization. In this paper, the performance of an induction servo drive system has been simulated under the influence of different types of non-linear industrial loads.
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  • Determination and classification of various nonlinear behaviors of mechanical loads in industrial electrical machine drives;
  • investigations into the effects of nonlinear loads on transient and steady-state responses of vector-controlled induction motor drives;
  • Introducing methods of modeling nonlinear dynamics and fast torque variations of industrial loads which are necessary for designing and developing dynamometers with large bandwidths.

Type of Study: Research Paper | Subject: Industrial Electronics
Received: 2020/12/01 | Revised: 2024/05/13 | Accepted: 2021/11/04

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.