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MESB374 System Modeling and Analysis
Introduction
ExampleVehicle speed control
MgtfBvvM
MgBvtfvM
e
e
)(
sin)(
MODEL:MODEL:
ANALYSIS:ANALYSIS:t
v speed
Desired
speed
Actual Increasing grade
Vehicle
speed
Actual
-+speed
Desired
Controller +force
incline/Gravity
-CONTROL:CONTROL:
input output
states
linearization
Inertia forceTraction: input, excitation
Gravitation: disturbanceFriction: damping
Course OverviewOne of the most important and multi-disciplinary
courses you’ll ever take
Physics
Kinematics
Mathematics
Time and frequency response analysis
Engineering judgment
Remember these?
i.e. Can you explain the basic conceptsto other people?
Leveraging previous coursework and preparing for future
coursework
Mechanics, electrical, electromechanical
Fluid-thermal
Calculus, differential equations, complex algebra
Measurements/instrumentation understanding
Emphasize combination of theoretical and conceptual
understanding
Basic Concepts
System
Modeling
Analysis
A combination of components acting together to perform a specific objective
A procedure to obtain a model describing important characteristics of system
Investigation of performance of system, whose model is known, under specified conditions
Motivation for MESB 374Pervasiveness
Why should we care aboutmodeling and analysis?
Why should we care aboutmodeling and analysis?
Explaining interesting
Phenomenon
Explaining interesting
Phenomenon
Component and Machine Design
Component and Machine Design
Feedback Control Design and
Adding Intelligence
Feedback Control Design and
Adding Intelligence
Definitions Related to System
Output A variable that we observe and consider important
Measurements/instrumentation
Not necessary what we want to know
State A variable that is used to describes the internal system dynamics
A set of states can be used to fully describe system’s current situation.
With two identical sets of initial values of states, performance of a system is the same
Do you get all the states of system ?
Input A variable that excites a system
Inputs are not always known beforehand
Inputs are always responsible for problems in systems
Lumped System A System with a finite number of state variables Lumped parameter/ discrete system
Usually an artificial/modeling concept
Different Systems/System Descriptions
Distributed System A System with infinitely many state variables Continuous elastic structures (beams, shells, and plates)
Fluid systems (ocean and atmosphere)
Can often be approximately described with lumped models (FEM, AMM)
Continuous-time System All the signals are continuous in time
Everything is defined at each instant time
Also called Analog systems
Discrete-time Systems
Variables are only defined at discrete times
Also called sampled data systems
Hybrid System
Continuous-time + discrete-time
More Different Systems/System Descriptions
Time-varying System (in practice)
The characteristics of system changes with time going
time-varying parameters
time-varying dynamics
Linear System
Equations describing system are linear
Principle of superposition
Nonlinear System
Linearize it near a operating condition to obtain a linear approximation
Time-invariant System (ideal) The features of system never ever changesUsually a good approximation for most engineering applicationA good starting point to obtain main features of systemRelatively easy to analyze
Interdisciplinary and System Nature of ME 375Analogous systems
Models are the same regardless of the physical domain of interest
We only need to understand how to analyze one model, but the results are applicable for four seemingly different types of physical systems!
u y
= = =
)(tuyyy
Voltage
Charge
u
y
Force
displ. Transl.
u
y
Torque
displ.Angular
u
y
Pressure
Volume
u
y
Big Picture Physical System
Develop Idea Model
Verify Model
GETPAID !!
Predict Performance
Build Actual System and Verify Design
MeetPerformance
Spec.
MeetPerformance
Spec.
Feedback/ Feedforward
Control Design
SimulationStudy
Implement on Actual System
No Yes
No
Yes
Not So great Good
OK
No
Not Good
Yes
Modeling
AnalysisDesign
ImplementationTest
Course Outline
Introduction
Components/elements
Connections/interconnects
Mechanical
Thermal
Electrical
ElectromechHydraulic
Input/output Vs.state-variable
models
Time-frequencytools of
systems analysis
Feedback andsystem design