3Kw直流电机的实验辨识与控制

Q3 Computer Science

Periodica polytechnica Electrical engineering and computer science Pub Date : 2022-09-06 DOI:10.3311/ppee.20421

Mohamed Lamine Hamida, A. Fekik, H. Denoun, F. Kadi

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引用次数: 0

摘要

本项目要求对一台3Kw直流电机进行参数辨识，利用Dspace1103采集卡实现对该电机的转速控制。该控制包括产生PWM信号来管理基于IGBT的降压斩波器。所提出的控制基于两个比例积分(PI)控制器来调节所识别的直流电机的速度和电流。为此，进行了试验，以确定这台机器的参数。接下来是我们的控制系统的实际实施。为了验证我们的试验台，本文给出了一些图表和说明。利用MATLAB/Simulink环境对该算法进行了仿真研究，并利用Dspace1103实时板在实验室样机上进行了实验验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Experimental Identification and Control of a 3Kw DC Motor

In this project, it was requested to identify the parameters of a 3Kw DC machine to realize a speed control of this machine using a Dspace1103 acquisition card. The control consists to generate a PWM signal to manage a buck chopper based on an IGBT. The proposed control is based on two Proportional-Integral (PI) controllers to regulate both, the speed and the current of the identified DC motor. For this purpose, tests were carried out in order to identify the parameters of this machine. This was followed by the practical implementation of our control system. In order to validate our test bench, several diagrams and explanations have been presented in this paper. The proposed algorithm has been investigated through simulation using the MATLAB/Simulink environment and validated experimentally on a laboratory prototype using Dspace1103 real time board.

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来源期刊

Periodica polytechnica Electrical engineering and computer science Engineering-Electrical and Electronic Engineering

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： The main scope of the journal is to publish original research articles in the wide field of electrical engineering and informatics fitting into one of the following five Sections of the Journal: (i) Communication systems, networks and technology, (ii) Computer science and information theory, (iii) Control, signal processing and signal analysis, medical applications, (iv) Components, Microelectronics and Material Sciences, (v) Power engineering and mechatronics, (vi) Mobile Software, Internet of Things and Wearable Devices, (vii) Solid-state lighting and (viii) Vehicular Technology (land, airborne, and maritime mobile services; automotive, radar systems; antennas and radio wave propagation).