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

Study on Hardware-in-the-Loop-Simulation of Hydroturbine Governing System

2010 ◽  
Vol 39 ◽  
pp. 395-398 ◽  
Author(s):  
Hai Hui Song ◽  
Yun Min Xie ◽  
Wei You Cai
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Hardware In The Loop ◽  
Real Time Simulation ◽  
Testing Platform ◽  
The Real ◽  
Governing System ◽  
Time Simulation

This paper introduces a testing mothod about hydroturbine governing system based on dSPACE hardware-in-the-loop-simulation. PID parameters are adjusted by hardware-in-the-loop -simulation. The results of the simulation show that it can provide simple, intuitive simulation model, and make parameters adjusting more intuitive and easier. The validity of the testing platform have been testified by the results of real-time simulation and hardware-in-the-loop-simulation. The superiority of controldesk in the real-time simulation is prominent.

scholarly journals Establishment of a Real-Time Simulation of a Marine High-Pressure Common Rail System

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5481
Author(s):  
Qinpeng Wang ◽  
Heming Yao ◽  
Yonghua Yu ◽  
Jianguo Yang ◽  
Yuhai He
Keyword(s):  
High Pressure ◽  
Real Time ◽  
Common Rail ◽  
Rail Pressure ◽  
Common Rail System ◽  
Real Time Simulation ◽  
The Real ◽  
Rail System ◽  
Time Simulation ◽  
High Pressure Common Rail

In this paper, the high-pressure common rail system of the marine diesel engine is taken as case study to establish a real-time simulation model of the high-pressure common rail system that can be used as the controlled object of the control system. On the premise of ensuring accuracy, the real-time simulation should also respond quickly to instructions issued by the control system. The development of the real-time simulation is based on the modular modeling method, and the high-pressure common rail system is divided into submodels, including the high-pressure oil pump, common rail tube, injector, and mass conversion. The submodels are built using the “surrogate model” method, which is mainly composed of MAP data and empirical formulas. The data used to establish the real-time simulation are not only from the empirical research into the high-pressure common rail system, but also from simulations of the high-pressure common rail system undertaken in AEMSim. The data obtained from this real-time simulation were compared with the experimental data to verify the model. The error in fuel injection quality is less than 5%, under different pressures and injection durations. In order to carry out dynamic verification, the PID control strategy, the model-based control strategy, and the established real-time simulation are all closed-loop tested. The results show that the developed real-time simulation can simulate the rail pressure wave caused by cyclic injection according to the control signal, and can feedback the control effect of different control strategies. Through verification, it is clear that the real-time simulation of the high-pressure common rail system can depict the rail pressure fluctuation caused by each cycle of fuel injection, while ensuring the accuracy and responsiveness of the simulation, which provides the ideal conditions for the study of a rail pressure control strategy.

scholarly journals Implementing Discrete Model of Photovoltaic System on the Embedded Platform for Real-Time Simulation

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4447
Author(s):  
Aryuanto Soetedjo ◽  
Irrine Budi Sulistiawati
Keyword(s):  
Real Time ◽  
Discrete Model ◽  
Buck Converter ◽  
Net Energy ◽  
Time Sampling ◽  
Pv System ◽  
Real Time Simulation ◽  
The Real ◽  
Time Simulation ◽  
Solar Tracker

This paper presents the development of a discrete model of a photovoltaic (PV) system consisting of a PV panel, Maximum Power Point Tracking (MPPT), a dual-axis solar tracker, and a buck converter. The discrete model is implemented on a 32-bit embedded system. The goal of the developed discrete PV model is to provide an efficient way for evaluating several algorithms and models used by the PV system in real-time fashion. The proposed discrete model perfectly matches the continuous and discrete model simulated with MATLAB-SIMULINK. The real-time performance is tested by running the model to simulate the PV system, where the fastest time sampling of 1 ms is achieved by the buck converter model, while the longest time sampling of 100 ms is achieved by the solar tracker model. Moreover, a novel method is proposed to optimize the net energy, which is calculated by subtracting the energy consumed by the tracker from the PV energy generated. The proposed net energy optimization method varies the operation time interval of the solar tracker under high and low solar irradiation conditions. Based on the real-time simulation of the discrete model, our approach increases the net energy by 29.05% compared to the system without the solar tracking and achieves an increase of 1.08% compared to the existing method.

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