Simulation of the real-time simulation systems and its integration with the automated control system of an enterprise

2015 ◽  
Author(s):  
Konstantin Aksyonov ◽  
Eugene Bykov ◽  
Olga Aksyonova ◽  
Alena Nevolina ◽  
Natalia Goncharova
Keyword(s):  
Control System ◽  
Real Time ◽  
Automated Control ◽  
Real Time Simulation ◽  
The Real ◽  
Automated Control System ◽  
Time Simulation ◽  
Simulation Systems

Real-time Simulation of Turboprop Engine Control System

2017 ◽  
Vol 34 (2) ◽  
Author(s):  
Hanlin Sheng ◽  
Tianhong Zhang ◽  
Yi Zhang
Keyword(s):  
Control System ◽  
Real Time ◽  
Digital Simulation ◽  
Engine Control ◽  
Control Loop ◽  
Real Time Simulation ◽  
The Real ◽  
Engine Control System ◽  
Time Simulation ◽  
Turboprop Engine

AbstractOn account of the complexity of turboprop engine control system, real-time simulation is the technology, under the prerequisite of maintaining real-time, to effectively reduce development cost, shorten development cycle and avert testing risks. The paper takes RT-LAB as a platform and studies the real-time digital simulation of turboprop engine control system. The architecture, work principles and external interfaces of RT-LAB real-time simulation platform are introduced firstly. Then based on a turboprop engine model, the control laws of propeller control loop and fuel control loop are studied. From that and on the basis of Matlab/Simulink, an integrated controller is designed which can realize the entire process control of the engine from start-up to maximum power till stop. At the end, on the basis of RT-LAB platform, the real-time digital simulation of the designed control system is studied, different regulating plans are tried and more ideal control effects have been obtained.

Setup and performances of the real-time simulation platform connected to the INELFE control system

2016 ◽  
Vol 138 ◽  
pp. 180-187 ◽  
Author(s):  
Sébastien Dennetière ◽  
Hani Saad ◽  
Bertrand Clerc ◽  
Jean Mahseredjian
Keyword(s):  
Control System ◽  
Real Time ◽  
Simulation Platform ◽  
Real Time Simulation ◽  
The Real ◽  
Time Simulation

Limits for the real-time simulation of video services over commodity hardware

2016 ◽  
Vol 10 (4) ◽  
pp. 251-259
Author(s):  
Alberto Álvarez ◽  
Laura Pozueco ◽  
Xabiel G Pañeda ◽  
Roberto García ◽  
David Melendi ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Simulation ◽  
The Real ◽  
Commodity Hardware ◽  
Time Simulation ◽  
Video Services

scholarly journals Decomposition-Assisted Computational Technique Based on Surrogate Modeling for Real-Time Simulations

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Nariman Fouladinejad ◽  
Nima Fouladinejad ◽  
Mohamad Kasim Abdul Jalil ◽  
Jamaludin Mohd Taib
Keyword(s):  
Real Time ◽  
Driving Simulator ◽  
Low Cost ◽  
Computational Cost ◽  
Surrogate Modeling ◽  
Computational Technique ◽  
Model Decomposition ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Simulation Systems

The development of complex simulation systems is extremely costly as it requires high computational capability and expensive hardware. As cost is one of the main issues in developing simulation components, achieving real-time simulation is challenging and it often leads to intensive computational burdens. Overcoming the computational burden in a multidisciplinary simulation system that has several subsystems is essential in producing inexpensive real-time simulation. In this paper, a surrogate-based computational framework was proposed to reduce the computational cost in a high-dimensional model while maintaining accurate simulation results. Several well-known metamodeling techniques were used in creating a global surrogate model. Decomposition approaches were also used to simplify the complexities of the system and to guide the surrogate modeling processes. In addition, a case study was provided to validate the proposed approach. A surrogate-based vehicle dynamic model (SBVDM) was developed to reduce computational delay in a real-time driving simulator. The results showed that the developed surrogate-based model was able to significantly reduce the computing costs, unlike the expensive computational model. The response time in surrogate-based simulation was considerably faster than the conventional model. Therefore, the proposed framework can be used in developing low-cost simulation systems while yielding high fidelity and fast computational output.

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