AE 230: Modeling and Simulation Lab
Introduction:
Modeling and Simulation Lab is a quintessential course, for it imparts a way of "seeing" (visualizing, modeling) various phenomenon from a systems level. Major emphasis is on engineering systems and how they are/can be represented as first and second order system. Also, how to quantify and represent various physical phenomena in equations. This course, in many ways, is a primer to the control theory course, for it lets you look into the black box (the plant) which is often assumed to be known in the control theory course.
Credits: 5 (1.5L-0T-2P-5C)
Prerequisites: Nil
Course Contents:
cell spanning 2 rows |
cell in the 2nd column |
cell in the 2nd column of the 2nd row |
|
cell spanning 2 columns |
|
|| Introduc || Objectives, concepts and types of models ||
Introduction |
Objectives, concepts and types of models |
|||
Modeling |
Analytical and experimental modeling of simple mechanical, hydraulic, thermal and structural systems |
|||
|| <-4> Transfer function and block diagram representation ||
Time response |
First and Second order systems |
|||
Time response: First and second order systems. System representation and simulation using MATLAB, SIMULINK and AMESim tools.
Quantifying Uncertainty: Use of simulation to quantify the uncertainty in system response and performance caused by uncertainty in model parameters and inputs.
Special topic: Software simulation of stiff systems and impact of integration time step on methodology and response.
Lab project: Application of modelling and simulation methodologies to a complex engineering system.
Text Books: 1. Ogata, K., System Dynamics, 4th Ed. Pearson Education LPE, 2004.
2. Doebelin, E. O., System Dynamics: modeling, analysis, simulation, designs New York: Marcel Dekker, 1998.
3. User Manuals for the Setups and AMESim Engg. System Modelling & Simulation Software Tool
Internet Resources
Interesting Links
Video shows the testing of a Boeing 787 Dreamliner wing.