scholarly journals A virtual test-bed for building Model Predictive Control developments

2019 ◽  
Author(s):  
Raymond Sterling ◽  
Jesús Febres ◽  
Andrea Costa ◽  
Adeleh Mohammadi ◽  
Rafael E. Carrillo ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Test Bed ◽  
Virtual Test ◽  
Building Model ◽  
Virtual Test Bed

Set-up and evaluation of a virtual test bed for simulating and comparing single- and mixed-mode ventilation strategies

2019 ◽  
Vol 151 ◽  
pp. 97-111
Author(s):  
B. Belmans ◽  
D. Aerts ◽  
S. Verbeke ◽  
A. Audenaert ◽  
F. Descamps
Keyword(s):  
Mixed Mode ◽  
Test Bed ◽  
Virtual Test ◽  
Virtual Test Bed ◽  
Ventilation Strategies ◽  
Set Up

Nonlinear model predictive control of a discrete-cycle gasoline-controlled auto ignition engine model: Simulative analysis

2019 ◽  
Vol 20 (10) ◽  
pp. 1025-1036 ◽  
Author(s):  
Eugen Nuss ◽  
Maximilian Wick ◽  
Jakob Andert ◽  
Jochem De Schutter ◽  
Moritz Diehl ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Measurement Data ◽  
Nonlinear Model Predictive Control ◽  
Test Bed ◽  
Efficient Operation ◽  
Stable Combustion ◽  
Engine Model ◽  
Auto Ignition

Gasoline-controlled auto ignition is a promising technology capable of reducing both fuel consumption and emissions at the same time. There are, however, challenges to overcome in order to make practical use of it. One area of research addresses methods that guarantee stable combustion as gasoline-controlled auto ignition is very sensitive to disturbances. This article investigates the capability of nonlinear model predictive control to ensure stable combustion while maintaining efficient operation. For this purpose, a suitable gasoline-controlled auto ignition model is selected and identified using measurement data of a single-cylinder test bed. Building upon this model, a controller based on nonlinear model predictive control is derived and analyzed by means of simulation. The investigation shows that the control manages to follow prescribed set points, also for late combustion, and indicates promising results with respect to real-time computation constraints.

Virtual test bed for advanced power sources

2002 ◽  
Vol 110 (2) ◽  
pp. 285-294 ◽  
Author(s):  
R.A. Dougal ◽  
S. Liu ◽  
L. Gao ◽  
M. Blackwelder
Keyword(s):  
Test Bed ◽  
Power Sources ◽  
Virtual Test ◽  
Virtual Test Bed

Dynamic Modeling of an Overhead Valve Engine CAM-Follower System Using a Resistive Companion Dynamic Simulation Solver

2005 ◽  
Author(s):  
Daniel C. Sloope ◽  
David N. Rocheleau
Keyword(s):  
Mathematical Model ◽  
Dynamic Simulation ◽  
Dynamic Modeling ◽  
Valve Train ◽  
Test Bed ◽  
Virtual Test ◽  
Virtual Test Bed ◽  
Cam Follower ◽  
Valve Engine ◽  
The Mathematical Model

A computer simulation model of the valve train of a Honda GX30 engine was modeled using Virtual Test Bed (VTB), a resistive companion dynamic simulation solver. Traditionally VTB has been exclusive to solving electrical system models but using the resistive companion equivalence of through and across variables, it can be applied to mechanical systems. This paper describes a dynamic simulation of an overhead valve engine cam-follower system using the VTB software application. The model was created to show valve train position, velocity and acceleration to aid in development of a camless engine being developed at the University of South Carolina. The mathematical model was created using governing dynamic equations. Using C++ programming, the mathematical model was transformed into a Virtual Test Bed model. The VTB model successfully shows valve train component position, velocity and acceleration. The significance of this work is its novelty in using the Virtual Test Bed environment to handle dynamic modeling of mechanical systems, whereas to date, VTB has been primarily focused on resistive companion modeling of power electronic systems. This work provides the foundation for using VTB to tackle more complex mechanical models.

Control Development for Smoke Reduction Through Inlet Manifold Air Injection During Transient Loading of Marine Diesel Engines

2009 ◽  
Author(s):  
G. Papalambrou ◽  
N. P. Kyrtatos
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Air Injection ◽  
Intake Manifold ◽  
Test Bed ◽  
Engine Operation ◽  
Marine Diesel ◽  
Test Engine ◽  
Inlet Manifold ◽  
Intake Manifold Pressure

This paper addresses the reduction of smoke emissions and improvement of load acceptance in a turbocharged marine diesel engine, during transient operation involving rapid load increases. Model Predictive Control (MPC) provided the optimal quantity of injected air in the engine while minimizing smoke density (opacity), with constraint not to exceed a limit in intake manifold pressure, in order to avoid surge in the compressor. System identification methods were used to determine control models at various operating points of the engine. Transient response experiments were performed on a full-scale marine diesel test engine on a transient test bed, using real-time MPC configuration. Results comparing the opacity under air injection model predictive control with the standard engine operation without air injection, during the same transient, show reduction in opacity level while avoiding surge.

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