Mitigating Time Delays: An Evaluation of Their Impact Using a Simulation Model of an Aircraft Power System Demonstrator Facility

Gan, Chengwei; Todd, Rebecca; Apsley, Judith

doi:10.1109/mias.2014.2345824

Cited by 8 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Notably, the proposed coupling algorithm is generally applicable without requiring knowledge of the RVP's system behavior. This constitutes a significant difference from previous works, where the coupling algorithm relies on precise mathematical models of all coupled prototypes, such as the utilization of a Smith predictor [23], a Luenberger observer [24], or model predictive control methods [25] for latency compensation.…”

Section: Introductionmentioning

confidence: 91%

“…The latter only considers coupling algorithms of the form in Equation ( 22) and not the general form of linear algorithms, including the reconstructions in Equation ( 6), which limits the analysis and can lead to imprecise results. Therefore, the analysis and the calculation of the optimal coupling algorithms are based on it, which both originate from [23]; these are generalized and are hereby improved upon in the following section to provide a more precise estimation of the RVP's behavior due to coupling faults and coupling algorithms.…”

Section: Coupling Process Analysis and Optimization In The Frequency ...mentioning

confidence: 99%

See 1 more Smart Citation

Enhancing the Coupling of Real-Virtual Prototypes: A Method for Latency Compensation

Baumann,

Kotte,

Mikelsons

et al. 2024

Electronics

View full text Add to dashboard Cite

Currently, innovations in mechatronic products often occur at the system level, requiring consideration of component interactions throughout the entire development process. In the earlier phases of development, this is accomplished by coupling virtual prototypes such as simulation models. As the development progresses and real prototypes of certain system components become available, real-virtual prototypes (RVPs) are established with the help of network communication. However, network effects—all of which can be interpreted as latencies in simplified terms—distort the system behavior of RVPs. To reduce these distortions, we propose a coupling method for RVPs that compensates for latencies. We present an easily applicable approach by introducing a generic coupling algorithm based on error space extrapolation. Furthermore, we enable online learning by transforming coupling algorithms into feedforward neural networks. Additionally, we conduct a frequency domain analysis to assess the impact of coupling faults and algorithms on the system behavior of RVPs and derive a method for optimally designing coupling algorithms. To demonstrate the effectiveness of the coupling method, we apply it to a hybrid vehicle that is productively used as an RVP in the industry. We show that the optimally designed and trained coupling algorithm significantly improves the credibility of the RVP.

show abstract

Section: Introductionmentioning

confidence: 91%

Section: Coupling Process Analysis and Optimization In The Frequency ...mentioning

confidence: 99%

Enhancing the Coupling of Real-Virtual Prototypes: A Method for Latency Compensation

Baumann,

Kotte,

Mikelsons

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…In the literature, aero-derivative gas turbine engine emulation has been widely implemented in the Hardware in the Loop (HIL) environment [3][4][5][6]. HIL simulation provides the ability to study the system in a safe and controlled fashion [7].…”

Section: Introductionmentioning

confidence: 99%

A Twin Spool Engine Emulator for the Study of Power Exchange Idea

Enalou

Rashed

Kulsangcharoen

et al. 2018

2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles &Amp; Interna

View full text Add to dashboard Cite

The More Electric Aircraft (MEA) engine, with electrical machines on both HP and LP shafts, makes it possible to transfer power electrically from one spool to another. Preliminary results have shown considerable improvement in turbofan performance in terms of fuel consumption, engine stability and compatible thrust with flight mission. In order to prove the concept of power exchange between shafts, it is essential to design a subscale system to emulate the more electric engine (MEE). This paper describes the layout of the experimental system to emulate the MEE to study the idea of power exchange between shafts through a single dc bus architecture.

show abstract

Novel control algorithm for dynamic emulation of mechanical loads of the three-motor test bench of the electric vehicle

Ma¹,

Wang²,

Zhang³

2019

AIP Conference Proceedings

View full text Add to dashboard Cite

Mitigating Time Delays: An Evaluation of Their Impact Using a Simulation Model of an Aircraft Power System Demonstrator Facility

Cited by 8 publications

References 21 publications

Enhancing the Coupling of Real-Virtual Prototypes: A Method for Latency Compensation

Enhancing the Coupling of Real-Virtual Prototypes: A Method for Latency Compensation

A Twin Spool Engine Emulator for the Study of Power Exchange Idea

Novel control algorithm for dynamic emulation of mechanical loads of the three-motor test bench of the electric vehicle

Contact Info

Product

Resources

About