Review of RT-LAB and Steps Involved for Implementation of a Simulink Model from MATLAB to REAL-TIME

2013 ◽  
Vol 14 (6) ◽  
pp. 641-658 ◽  
Author(s):  
Suresh Mikkili ◽  
Anup Kumar Panda
Keyword(s):  
Real Time ◽  
High Performance ◽  
Simulation Models ◽  
Specific Class ◽  
Real Time Simulation ◽  
Simulation Tools ◽  
Simulink Model ◽  
Computing Technologies ◽  
Time Simulation ◽  
Real Time Digital Simulator

Abstract In recent days, every researcher wants to develop his/her model in real-time. Simulation tools have been widely used for the design and improvement of electrical systems since the mid-twentieth century. The evolution of simulation tools has progressed in step with the evolution of computing technologies. Now a days, computing technologies have improved dramatically in performance and become widely available at a steadily decreasing cost. Consequently, simulation tools have also seen dramatic performance gains and steady cost decreases. Researchers and engineers now have access to affordable, high-performance simulation tools that were previously too cost prohibitive, except for the largest manufacturers and utilities.This article has introduced a specific class of digital simulator known as a real-time simulator by answering the questions “What is real-time simulation?” “Why is it needed” and “How it works”. The latest trend in real-time simulation consists of exporting simulation models to FPGA. In this article, the steps involved for implementation of a model from MATLAB to REAL-TIME are provided in detail. The detailed real-time results are presented to support the feasibility of real-time digital simulator.

scholarly journals Advancements in Real-Time Simulation for the Validation of Grid Modernization Technologies

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4036 ◽  
Author(s):  
Kati Sidwall ◽  
Paul Forsyth
Keyword(s):  
Power System ◽  
Real Time ◽  
High Performance ◽  
Ease Of Use ◽  
System Modelling ◽  
Simulation Fidelity ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Working Groups ◽  
Very High

Real-time simulation and hardware-in-the-loop testing have increased in popularity as grid modernization has become more widespread. As the power system has undergone an evolution in the types of generator and load deployed on the system, the penetration and capabilities of automation and monitoring systems, and the structure of the energy market, a corresponding evolution has taken place in the way we model and test power system behavior and equipment. Consequently, emerging requirements for real-time simulators are very high when it comes to simulation fidelity, interfacing options, and ease of use. Ongoing advancements from a processing hardware, graphical user interface, and power system modelling perspective have enabled utilities, manufacturers, educational and research institutions, and consultants to apply real-time simulation to grid modernization projects. This paper summarizes various recent advancements from a particular simulator manufacturer, RTDS Technologies Inc. Many of these advancements have been enabled by growth in the high-performance processing space and the emerging availability of high-end processors for embedded designs. Others have been initiated or supported by developer participation in power industry working groups and study committees.

scholarly journals Real-time simulation of dynamic vehicle models using a high-performance reconfigurable platform

2015 ◽  
Vol 39 (8) ◽  
pp. 720-740 ◽  
Author(s):  
Madhu Monga ◽  
Daniel Roggow ◽  
Manoj Karkee ◽  
Song Sun ◽  
Lakshmi Kiran Tondehal ◽  
...  
Keyword(s):  
Real Time ◽  
High Performance ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Reconfigurable Platform

Gas Pipeline Simulation: Use of a Single System for All Simulations

2006 ◽  
Author(s):  
Heribert Scheerer ◽  
Stewart Midwinter
Keyword(s):  
Steady State ◽  
Real Time ◽  
Simulation Models ◽  
Leak Detection ◽  
Gas Pipeline ◽  
Simulation Tools ◽  
Cost Of Energy ◽  
Time Simulation ◽  
Long Time ◽  
Training Simulation

Simulation tools have been used for a long time in the gas pipeline industry to do things like system planning and training simulation, using both steady state and transient simulators. Companies have also tried using simulation models in real time environments, to do applications such as line pack management and leak detection, with less than great results. With the increased cost of energy, more importance has been placed on use of simulation to optimize the operation of gas pipelines. One of the biggest problems with using simulation in so many areas is that many different models from potentially different suppliers had to be used. This resulted in a high cost to implement and maintain several systems. This paper will show a simulation system that is capable of performing steady state and transient simulation, off-line and real time simulation, leak detection and optimization, all using a single modeling platform. Examples of field use of the system will show the benefits that can be realized.

Modeling Issues for the Intelligent Simulation of Multibody Dynamics

1996 ◽  
Author(s):  
Javier Cuadrado ◽  
Jesús Cardenal ◽  
Eduardo Bayo
Keyword(s):  
Real Time ◽  
Multibody Dynamics ◽  
Multibody Systems ◽  
Equations Of Motion ◽  
Form Versus ◽  
Real Time Simulation ◽  
Simulation Tools ◽  
Modeling Process ◽  
Time Simulation ◽  
Intelligent Simulation

Abstract Current simulation tools for multibody dynamics are not problem dependent, they use the same modeling process to all cases regardless of their characteristics. In addition, real-time simulation of small multibody systems is achievable by existing simulation tools, however, real-time simulation of large and complex systems is not possible with existing methods. This is a challenge that needs to be addressed before further advances in mechanical simulation with hardware-in-the-loop and man-in-the-loop, as well as virtual prototyping are made possible. This paper addresses the issue of how the modeling process-dependent versus independent coordinates, and descriptor form versus state-space form of the equations of motion-affects the dynamic simulation of multibody systems and how it may be taken into account and added to the concept of intelligent simulation. With this new concept all the factors involved in the simulation process — modeling, equations, solution, etc. — are chosen and combined depending upon the characteristics of the system to be simulated. It is envisioned that this concept will lead to faster and more robust real-time simulators.

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