Unformatted text preview: ME 375 Dynamic System
375
System
Modeling and Analysis
Prof. Xinyan Deng
School of Mechanical Engineering
of Mechanical Engineering
Purdue University ME375 Intro  1 Course Objectives
1) Introduce systematic and unified modeling of lumped
dynamic systems using first principles
dynamic systems using first principles.
2) Provide mathematical tools for analysis and
performance prediction of engineered systems.
3) Provide introduction to design of feedback controllers
to achieve closedloop stability and specified system
performance
performance. School of Mechanical Engineering
Purdue University ME375 Intro  2 1 Course Overview
• Integrating Modeling, Analysis and Control of
Machines and Physical Systems
• MultiEnergy Domain System Modeling
• Standard Format and Procedure
• System Analysis (in time and frequency domains)
• Feedback Control
Control School of Mechanical Engineering
Purdue University ME375 Intro  3 Course Overview
• Text – System Dynamics, by Palm
Text
available
available via CourseSmart online: http://www.coursesmart.com/
on• References  see syllabus
References
• Homework  must be individual effort
Homework
• Matlab  necessary to complete homework
• Exams  two midterm exams and one final
Exams
• Grading  see syllabus
• Course Web site:
Course
http://web.ics.purdue.edu/~krousgri/me375
http://web.ics.purdue.edu/~krousgri/me375/ School of Mechanical Engineering
Purdue University ME375 Intro  4 2 What is a Model?
•
•
•
•
• A set of assumptions?
A diagram?
diagram?
A set of equations?
A set of plots?
A simulation? School of Mechanical Engineering
Purdue University ME375 Intro  5 Why do we need a Model?
• To ensure reliable performance
• To prevent failures
prevent failures
• To apply feedback control School of Mechanical Engineering
Purdue University ME375 Intro  6 3 Example
• Cruise Control
• Robotics School of Mechanical Engineering
Purdue University ME375 Intro  7 System Characteristics
•
•
•
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• Simple vs. Complex
Lumped vs. Distributed
vs Distributed
Linear vs. Nonlinear
Timeinvariant vs. Timevarying
TimeTimeContinuous vs. Discrete School of Mechanical Engineering
Purdue University ME375 Intro  8 4 Dynamic Systems
• Models are the same regardless of the physical domain:
=
y ! Charge
u!e = = y ! Transl. displ. y ! Angular displ.
u! f
u !" y ! Pressure
dq
u!
dt !! # y # y ! u(t)
y! • We only have to understand one model, but we have
We
understand
model but
four different systems!
systems
School of Mechanical Engineering
Purdue University ME375 Intro  9 Course Outline
Introduction
Components/
elements
Mechanical
Thermal Connections/
interconnects
Electrical Electromech. Hydraulic Input/output vs.
statevariable
models
Timefrequency
tools of
system analysis
Feedback
system design
School of Mechanical Engineering
Purdue University ME375 Intro  10 5 ...
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This note was uploaded on 12/22/2011 for the course ME 375 taught by Professor Meckle during the Fall '10 term at Purdue.
 Fall '10
 Meckle
 Mechanical Engineering

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