High-fidelity modeling and simulation for wideband receiving system development

2013 ◽  
Author(s):  
Chen Wu ◽  
Anne Young
Keyword(s):  
Modeling And Simulation ◽  
System Development ◽  
High Fidelity

Variable Fidelity Modeling in Closed Loop Dynamical Systems

2014 ◽  
Author(s):  
Matthew A. Williams ◽  
Andrew G. Alleyne
Keyword(s):  
Dynamical Systems ◽  
Closed Loop ◽  
System Development ◽  
Computational Cost ◽  
Computational Effort ◽  
High Fidelity ◽  
Vapor Compression System ◽  
Variable Fidelity ◽  
Time Required ◽  
Fidelity Model

In the early stages of control system development, designers often require multiple iterations for purposes of validating control designs in simulation. This has the potential to make high fidelity models undesirable due to increased computational complexity and time required for simulation. As a solution, lower fidelity or simplified models are used for initial designs before controllers are tested on higher fidelity models. In the event that unmodeled dynamics cause the controller to fail when applied on a higher fidelity model, an iterative approach involving designing and validating a controller’s performance may be required. In this paper, a switched-fidelity modeling formulation for closed loop dynamical systems is proposed to reduce computational effort while maintaining elevated accuracy levels of system outputs and control inputs. The effects on computational effort and accuracy are investigated by applying the formulation to a traditional vapor compression system with high and low fidelity models of the evaporator and condenser. This sample case showed the ability of the switched fidelity framework to closely match the outputs and inputs of the high fidelity model while decreasing computational cost by 32% from the high fidelity model. For contrast, the low fidelity model decreases computational cost by 48% relative to the high fidelity model.

Dynamic Modeling and Simulation of a Hybrid Fuel Cell/Gas Turbine Power Plant for Control System Development

2004 ◽  
Author(s):  
Hossein Ghezel-Ayagh ◽  
Michael D. Lukas ◽  
S. Tobias Junker
Keyword(s):  
Control System ◽  
Fuel Cell ◽  
Modeling And Simulation ◽  
Dynamic Modeling ◽  
System Development ◽  
Pid Controllers ◽  
Load Range ◽  
Commercial Viability ◽  
Balance Of Plant ◽  
Gas Turbine Power Plant

This paper presents dynamic modeling and simulation results for a Fuel Cell/Turbine Hybrid Power System and describes the overall use of modeling/simulation as a tool in the design of advanced controllers for Fuel Cell/Turbine systems. The simulation includes representation of the fuel cell stack integrated with balance-of-plant, including microturbine generator and heat recovery. A conventional control system based on PID controllers is also represented. Motivation for this work is to help sustain and enhance commercial viability of hybrid systems by operating them at maximum possible reliability, efficiency, and load range.

Inverse synthetic aperture ladar: a high-fidelity modeling and simulation tool

2013 ◽  
Author(s):  
Casey Pellizzari ◽  
Mark Spencer ◽  
Nicholas Steinhoff ◽  
John Belsher ◽  
Glenn Tyler ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Synthetic Aperture ◽  
High Fidelity ◽  
Simulation Tool

High fidelity modeling and simulation for SATCOM networks

2009 ◽  
Author(s):  
Junghoon Lee ◽  
George Elmasry ◽  
Roy Life ◽  
Clifton Phillips ◽  
Nikhil Dave ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
High Fidelity

Modeling and Simulation of Human Walking With Wearable Powered Assisting Device

2013 ◽  
Author(s):  
Siniša Slavnić ◽  
Adrian Leu ◽  
Danijela Ristić-Durrant ◽  
Axel Gräser
Keyword(s):  
Modeling And Simulation ◽  
System Development ◽  
Simulation Software ◽  
Human Walking ◽  
Robot Assisted ◽  
Motion Data ◽  
Rehabilitation System ◽  
Software Modules ◽  
Assisting Device ◽  
Multi Body

For the purpose of developing robot-assisted human walking systems, human and robot walking dynamics are modeled using models of different complexity depending on simulation scenarios in different phases of robotic system development and selected walking parameters to be analyzed. This paper addresses the early modeling and simulation phase of the development of a novel mobile robot-assisted gait rehabilitation system to be used as a demonstrator for a cognitive robot control architecture currently under development. For simulation purposes dynamical models of walking human and powered orthosis are developed in multi-body simulation software (MSC Adams) using the LifeMod plug-in while the control algorithms are developed in Matlab. The paper introduces a novel ROS (Robot Operating System) based communication established between the real system software modules and the simulation environment. The performance evaluation was performed by running the simulation with motion data which were obtained using marker-based motion capture system and which were implemented as ROS node.

Bond graph modeling of a jet engine with electric starter

2018 ◽  
Vol 233 (9) ◽  
pp. 3193-3210 ◽  
Author(s):  
Morteza Montazeri-Gh ◽  
Seyed Alireza Miran Fashandi
Keyword(s):  
Modeling And Simulation ◽  
System Development ◽  
Dynamic Performance ◽  
Graph Model ◽  
Systems Design ◽  
Bond Graph ◽  
Mechatronic Systems ◽  
Jet Engine ◽  
Graph Modeling ◽  
Bond Graph Modeling

Following the technological advances in recent decades, advanced electronic systems linked to the gas turbine industry are increasingly considered by the designers of this field. For this purpose, new airborne systems in conjunction with jet engines are developed, which are incorporated in many challenging design problems such as control law and configuration design. Thus, a comprehensive modeling structure is needed that can bolster the integrity of the system development such as the bond graph approach, which is known as an efficient method for modeling complicated mechatronic systems. In this paper, modeling and simulation of a jet engine dynamic performance and aircraft motion are achieved based on the bond graph approach. At first, the electric starter bond graph model is constructed and physical relationships governing each engine component are obtained. In the aftermath, the modulated energy fields are developed for the jet engine components. Subsequently, the bond graph model of the engine is numerically simulated and experimentally tested and verified for a small jet engine. Finally, bond graph modeling and simulation of integrated engine and aircraft system is presented. The test results indicate the acceptable accuracy of the modeling approach which can be applied for innovative diagnosis and control systems design.

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