Jet Engine Model for Control and Real-Time Simulations

2006 ◽  
Vol 128 (4) ◽  
pp. 745 ◽  
Author(s):  
Michael Lichtsinder ◽  
Yeshayahou Levy
Keyword(s):  
Real Time ◽  
Jet Engine ◽  
Engine Model ◽  
Real Time Simulations

Jet Engine Component and Transducer Fault Diagnosis Using an Inverse Dynamic Model

2005 ◽  
Author(s):  
M. Lichtsinder ◽  
Y. Levy
Keyword(s):  
Fault Diagnosis ◽  
Inverse Dynamic ◽  
Fast Evaluation ◽  
Engine Operation ◽  
Inverse Dynamic Model ◽  
Jet Engine ◽  
Engine Model ◽  
Engine Component ◽  
Using Data ◽  
Real Time Simulations

Engine component and transducer degradation/fault diagnosis, are analyzed. The analysis is performed using an aero-thermodynamic nonlinear inverse jet-engine model while using data acquired during transient engine operation. A shortened inverse jet-engine model (without one or more engine component maps) was recently proposed by the authors for real-time simulations and for fast evaluation of engine component maps. The algorithm for the engine component’s fault diagnosis is significantly simplified using shortened inverse engine models. A diagnostic example of combined faults of a single transducer and a single engine component for a single spool jet engine is described using different combinations of shortened inverse jet engine models. In the present paper it is assumed that only a single transducer (out of the seven transducers) and /or a single engine component (compressor or turbine) fault could be present in the engine at a given time.

scholarly journals ATCO radar training assessment and flight efficiency: the correlation between trainees’ scores and fuel consumption in real-time simulations

2020 ◽  
pp. 1-17
Author(s):  
T. Rogošić ◽  
B. Juričić ◽  
F. Aybek Çetek ◽  
Z. Kaplan
Keyword(s):  
Real Time ◽  
Fuel Consumption ◽  
Basic Training ◽  
Air Traffic Controller ◽  
Training Assessment ◽  
Assessment Scores ◽  
Human In The Loop ◽  
Assessment Standards ◽  
Two Parameters ◽  
Real Time Simulations

ABSTRACT Air traffic controller training is highly regulated but lacks prescribed common assessment criteria and methods to evaluate trainees at the level of basic training and consideration of how trainees in fluence flight efficiency. We investigated whether there is a correlation between two parameters, viz. the trainees’ assessment score and fuel consumption, obtained and calculated after real-time human-in-the-loop radar simulations within the ATCOSIMA project. Although basic training assessment standards emphasise safety indicators, it was expected that trainees with higher assessment scores would achieve better flight efficiency, i.e. less fuel consumption. However, the results showed that trainees’ assessment scores and fuel consumption did not correlate in the expected way, leading to several conclusions.

scholarly journals Real-Time Anticipation and Prevention of Hot Spots by Monitoring the Dynamic Conductance of Photovoltaic Panels

2021 ◽  
Author(s):  
William Lamb ◽  
Dallon Asnes ◽  
Jonathan Kupfer ◽  
Emma Lickey ◽  
Jeremy Bakken ◽  
...  
Keyword(s):  
Real Time ◽  
Hot Spots ◽  
Structural Damage ◽  
Reverse Bias ◽  
Control Method ◽  
Physical Damage ◽  
Operating Current ◽  
A Cell ◽  
Real Time Simulations ◽  
Dynamic Conductance

<div>Hot spotting in photovoltaic (PV) panels causes physical damage, power loss, reduced lifetime reliability, and increased manufacturing costs. The problem arises routinely in defect-free standard panels; any string of cells that receives uneven illumination can develop hot spots, and the temperature rise often exceeds 100°C in conventional silicon panels despite on-panel bypass diodes, the standard mitigation technique. Bypass diodes limit the power dissipated in a cell subjected to reverse bias, but they do not prevent hot spots from forming. An alternative control method has been suggested by Kernahan [1] that senses in real time the dynamic conductance |dI/dV| of a string of cells and adjusts its operating current so that a partially shaded cell is never forced into reverse bias. We start by exploring the behavior of individual illuminated PV cells when externally forced into reverse bias. We observe that cells can suffer significant heating and structural damage, with desoldering of cell-tabbing and discolorations on the front cell surface. Then we test PV panels and confirm Kernahan’s proposed panel-level solution that anticipates and prevents hot spots in real time. Simulations of cells and panels confirm our experimental observations and provide insights into both the operation of Kernahan’s method and panel performance.</div>

Iconicity and Dynamic

2017 ◽  
Author(s):  
Inge Hinterwaldner
Keyword(s):  
Real Time ◽  
Computer Simulations ◽  
Artificial Life ◽  
Simulation Program ◽  
Special Focus ◽  
Responsible Attitude ◽  
Real Time Simulations ◽  
Optical Level

Within real-time simulations, the calculated simulation dynamic is only one movement-generating instance. There exist further and other movement-generating elements of a sensorial nature. Typically, the simulation program encompasses many diverse processes – internal and external ones – taking place simultaneously. Several artificial life applications are analysed with respect to the multi-layered dynamics and with a special focus on how the sensorial levels contribute motions not present in the simulation dynamics itself. Computer simulations also have the potential for deception (some applications aim at exploiting the suspense of disbelief), but surprisingly it is located in their domain, in the process and reaction or consequence design. The optical level follows other logics. Being aware of this fact with all its consequences is crucial for a critical and responsible attitude towards computer simulations.

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