Modeling and simulation of inverse time overcurrent relay using Matlab/Simulink

2016 ◽  
Author(s):  
Nur Hazwani Hussin ◽  
Muhd Hafizi Idris ◽  
Melaty Amirruddin ◽  
Mohd Saufi Ahmad ◽  
Mohd Alif Ismail ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Matlab Simulink ◽  
Overcurrent Relay

Modeling and Simulation of Improved Vector Control System for PMSM

2014 ◽  
Vol 548-549 ◽  
pp. 819-823
Author(s):  
Xi Juan Wang ◽  
Tao Zhou ◽  
Jing Xiao Feng ◽  
Yu Peng Pei
Keyword(s):  
Control System ◽  
Control Theory ◽  
Modeling And Simulation ◽  
Vector Control ◽  
System Model ◽  
Excellent Performance ◽  
Matlab Simulink ◽  
Ac Motor ◽  
Control System Model ◽  
Vector Control System

In the AC control system, vector control theory is very popular as it makes the AC motor achieve the performance as perfect as DC motor [1]. In the paper, the vector control theory is briefly introduced, and then a vector control system model is builded in the matlab/simulink, and the SVPWM technique is adopted. The results show that the improved vector control sytem of PMSM has a excellent performance.

Modeling and Simulation of Engine Power Based on MATLAB/SIMULINK

2014 ◽  
Vol 875-877 ◽  
pp. 929-933 ◽  
Author(s):  
Hui Meng ◽  
Li Qiang Wang ◽  
Zong Qi Han ◽  
Shu Bin Lei
Keyword(s):  
Modeling And Simulation ◽  
Bench Test ◽  
Matlab Simulink ◽  
Engine Modeling ◽  
Simulation Process ◽  
Fuel Dynamics ◽  
Model Engine ◽  
Output Characteristics ◽  
Actual Control ◽  
Engine Power

The intake system sub-model, the fuel dynamics sub-model and the power output sub-model are studied in this paper based on Elbert Hendricks engine mean model. Engine output characteristics using computational model is established in MATLAB/Simulink. Parameter of the modeling and simulation process is obtained through experiments, and finally, the engine bench test is done, and compared it with the simulation curve in same conditions. The results show that the model calculation has smaller error, higher precision, and which can meet the basic requirements of the engine modeling in actual control.

Modeling and Simulation of BLDCM Using MATLAB/SIMULINK

2006 ◽  
Vol 6 (3) ◽  
pp. 688-691 ◽  
Author(s):  
C. Gencer ◽  
M. Gedikpinar
Keyword(s):  
Modeling And Simulation ◽  
Matlab Simulink

An Improved Approach to Design A Photovoltaic Panel

2017 ◽  
Vol 5 (3) ◽  
pp. 515 ◽  
Author(s):  
Murari Lal Azad ◽  
Pradip Kumar Sadhu ◽  
Soumya Das ◽  
Biplab Satpati ◽  
Anagh Gupta ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Environmental Parameters ◽  
Photovoltaic Systems ◽  
Efficient Manner ◽  
Power Generator ◽  
Matlab Simulink ◽  
Photovoltaic Panel ◽  
Photo Voltaic

<p>In this paper, modeling and simulation of the solar photo-voltaic (PV) power generator is observed using<strong> </strong>Matlab-Simulink environment. The study the fore-mentioned photovoltaic systems in an efficient manner the knowledge of I-V and P-V characteristics is a prerequisite. Effect of environmental parameters of temperature and irradiance variations could also be observed from simulated characteristics.</p>

Intelligent Control of Compact Multiphase Separation System (CMSS©)—Part I: Modeling and Simulation

2009 ◽  
Author(s):  
V. Sampath ◽  
R. Mohan ◽  
S. Wang ◽  
L. Gomez ◽  
O. Shoham ◽  
...  
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
Intelligent Control ◽  
Dynamic Models ◽  
Free Water ◽  
Integrated System ◽  
Separation System ◽  
Matlab Simulink ◽  
Knock Out ◽  
Cylindrical Cyclone

Performance of compact separators depends on implementation of stable and robust control strategies that are suited for specific applications. In this investigation, an intelligent control system has been developed for Compact Multiphase Separation System (CMSS©) which consists of integrated configurations of three compact separators, namely, Gas-Liquid Cylindrical Cyclone (GLCC©), Liquid-Liquid Cylindrical Cyclone (LLCC©) and Liquid-Liquid Hydrocyclone (LLHC). This is a two-part paper, the first part (current paper) deals with the Modeling and Simulation of the CMSS© and the second part deals with Experimental Investigation. The specific objective of this CMSS© configuration is to knock out free water from the upstream fluids. In mature oil fields, water handling poses a huge problem. Thus water knock out at the earliest stage helps in significant cost savings. A novel fuzzy logic control system has been designed and tested for change in set-point of differential pressure ratio in LLHC. Dynamic models have been developed for each of the above mentioned control systems for design of stable PID parameters. A dynamic simulation platform (DSP) has been developed based on these models in Matlab/Simulink™ for predicting the transient performance of the integrated system. Steady state mechanistic models of individual devices are integrated to the Matlab/Simulink™ platform using look up tables to predict the overall response of the CMSS© for different scenarios.

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