AE xxx Modeling and Simulation Laboratory      1.5 0 2 5                                                                                                                                                Mar. 11, 2008

Prerequisites: NIL

Introduction: Objectives, concepts and types of models.

Modelling: Analytical and experimental modeling of simple mechanical, hydraulic,
thermal and structural systems.  Transfer function and block diagram representation.

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.

References:
K. Ogata, System Dynamics, 4th ed. Pearson Education LPE, 2004.

E. O. Doebelin, System Dynamics : modeling, analysis, simulation, design
New York: Marcel Dekker, 1998.

User Manuals for the Setups & AMESim Engg. System Modelling & Simulation
Software Tool



List of experiments:

Servo Systems      : DC Motor, Rotary Servo & Gyro Platform; Step
                                response for time constant & DC gain
Thermal Systems    : Heating of metal block & Heating of air;
                                  step response for time constant, DC gain & transport lag due to sensor
Level/Flow System  : Tank level & flow rate models, with time
                     constant & DC gain; Issue of linearization
Torsion Disk System: Free-free and restrained elastic system
                     models; Natural frequency & damping; Mass
                     stiffness & damping evaluation
Pendulum Experiment: Normal & Inverted pendulum; coupled 2-DOF
                     model for cart & pendulum motion;Issue of
                     linearization, natural frequency & damping
Flexgage Experiment: Flexible Robotic arm; combined rigid body
                     & elastic body models through step input
MATLAB Exercises   : Generation of matlab/simulink responses for
                     experimentally generated models & their
                     comparison with experimental responses.
MATLAB Exercises   : Generation of matlab/simulink responses for
                     theoretically generated models & their
                     comparison with experimental responses
Random Simulation  : Sampling of system parameters, in selected
                     experiments conducted by all batches, and
                     generation of a family of responses for
                     the applicable inputs. Statistical analysis
                     of the simulated responses to characterize
                     the overall quantities e.g. mean response,
                     variance etc.
Stiff Simulation   : Use the data for flexgage to identify time
                     scales for rigid & elastic body dynamics.
                     solution using two different time steps &
                     comparison of solution time and solution
                     accuracy.