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

Author(s):  
Konstantin Aksyonov ◽  
Eugene Bykov ◽  
Olga Aksyonova ◽  
Alena Nevolina ◽  
Natalia Goncharova
2017 ◽  
Vol 34 (2) ◽  
Author(s):  
Hanlin Sheng ◽  
Tianhong Zhang ◽  
Yi Zhang

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.


2016 ◽  
Vol 138 ◽  
pp. 180-187 ◽  
Author(s):  
Sébastien Dennetière ◽  
Hani Saad ◽  
Bertrand Clerc ◽  
Jean Mahseredjian

2016 ◽  
Vol 10 (4) ◽  
pp. 251-259
Author(s):  
Alberto Álvarez ◽  
Laura Pozueco ◽  
Xabiel G Pañeda ◽  
Roberto García ◽  
David Melendi ◽  
...  

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Nariman Fouladinejad ◽  
Nima Fouladinejad ◽  
Mohamad Kasim Abdul Jalil ◽  
Jamaludin Mohd Taib

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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