ECE 5551 (Fall 2015)
Lecture Note 1
Introduction & Review of Linear Algebra
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
Course Basic Info:
Title: StateSpace Control Systems
Location: Bolz Hall 436
Tim
ECE5551 Fall 2015
Lecture Note 3
State Space Models
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
StateSpace Based Feedback control system:
Plant
()
Control Decision
Making
()
State
Estimator
Plant Math
Mo
ECE5551 Fall 2015
Lecture Note 5
State Space Solutions and Stability
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
We have learned:
What is a state space model
How to derive state space model from physica
ECE5551 (Fall 2015)
Lecture Note 4
Least Squares and Basic System Identification
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
Last lecture: obtain discretetime linear state space model from
physical proc
ECE5551 Fall 2015
Lecture Note 3
State Space Models
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
StateSpace Based Feedback control system:
Plant
()
Control Decision
Making
()
State
Estimator
Plant Math
Mo
ECE5551 Fall 2015
Lecture Note 2
Review of Probability Theory
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
What is probability?
A formal way to quantify the uncertainty of our knowledge about
the physical
ECE 5551 (Fall 2015)
Lecture Note 1
Introduction & Review of Linear Algebra
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
Course Basic Info:
Title: StateSpace Control Systems
Location: Bolz Hall 436
Tim
ECE5551 (Fall 2015)
Lecture Note 4
Least Squares and Basic System Identification
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
Last lecture:obtain discretetime linearstatespacemodelfrom
physical process
g
ECE5551 Fall 2015
Lecture Note 5
State Space Solutions and Stability
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
We have learned:
What is a state space model
How to derive state space model from physica
ECE5551 Fall 2015
Lecture Note 2
Review of Probability Theory
Wei Zhang
Assistant Professor
Electrical and Computer Engineering
The Ohio State University
1
What is probability?
A formal way to quantify the uncertainty of our knowledge about
the physical
Control theory
S. Simrock
DESY, Hamburg, Germany
Abstract
In engineering and mathematics, control theory deals with the behaviour of
dynamical systems. The desired output of a system is called the reference.
When one or more output variables of a system n
RouthHurwitz Stability Criterion
Stability of Higher Order Systems
C 1( s )
10( s 1)
5
R1 ( s ) s 3s 3 2s 5
C2 ( s )
10( s 1)
R2 ( s ) s( s 4 s 3 3s 2 s1 2)
UnStable
Stable
RouthHurwitz Stability Criterion
It is a method for determining continuous sy
Modern Electrical Drive Systems
Overview of AC and DC drives
Courtesy: Electrical Drives by Ion Boldea ,CRC Press
14 August 2009
B Chitti Babu,
EE NIT Rourkela
31
Power Electronic Converters in ED Systems
Converters for Motor Drives
(some possible configu
Modeling and Control of Electrical Drives
Modeling of the Power Converters: DC drives with Controlled rectifier
Input 3phase, 240V, 50Hz
Closed loop current control
with PI controller
1000
1000
500
500
0
500
Voltage
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
50
Modeling and Control of Electrical Drives
Current controlled converters in DC Drives  PIbased
Vdc
iref +
14 August 2009
PI
vc
vc
vPulse
width
tri
modulator
qqq
B Chitti Babu,
EE NIT Rourkela
62
Modeling and Control of Electrical Drives
Current controlle
Modeling and Control of Electrical Drives
Modeling of the Power Converters: IM drives
Variable voltage, fixed frequency
e.g. 3phase squirrel cage IM
600
V = 460 V
Rr=0.2 Lr = Ls =
0.5/(2*pi*50)
500
Torque
400
Lm=30/(2*pi*50)
f = 50Hz
300
p=4
Lower speed s
Power Electronics and Drives
Modeling & Simulation
A Problem Based and Project Oriented
Learning
B.Chitti Babu
Member IEEE (USA), Student Member IET (UK)
Department of Electrical Engineering,
National Institute of Technology,Rourkela
[email protected]
Power Electronic Converters in ED Systems
DC DRIVES
ACDCDC
DCDC: Twoquadrant Converter
Va
+
T1
D1
ia
Vdc
Q2
Q1
Ia
+
T2
D2
Va

T2 conducts va = 0
D1 conducts va = Vdc
Eb
Va
Quadrant 2 The average voltage is made smallerr than the back emf, thus
forcin
Modeling and Control of Electrical Drives
Modeling of the Power Converters: DC drives with SM Converters
Bipolar switching scheme
v a ( s ) V dc
=
v c (s)
V tri
vc(s)
14 August 2009
V dc
V tri
va(s)
B Chitti Babu,
EE NIT Rourkela
DC motor
87
Modeling and
Resistors in
Power Electronics
Resistors
are
mostly
used
in
Power
Electronics
to
dissipate
the
trapped
energy from other components as well to
provide damping.
Thus, resistors can carry significant
amount of high frequency currents.
Resistors
can
carry
CALCULUS OF VARIATIONS
MA 4311 LECTURE NOTES
I. B. Russak
Department of Mathematics
Naval Postgraduate School
Code MA/Ru
Monterey, California 93943
July 9, 2002
c 1996  Professor I. B. Russak
1
Contents
1 Functions of n Variables
1.1 Unconstrained Minimu
Lectures in Mathematics ETH Zurich
Jurgen Moser
Selected Chapters in the
Calculus of Variations
Lecture Notes by Oliver Knill
Birkhauser
Lectures in Mathematics
ETH Zurich
Department of Mathematics
Research Institute of Mathematics
Managing Editor:
Michae
IoT and IoT enabled devices
Designing and
Implementing
1
IoT
2
InternetofThings: It is a network of devices
connected via internet, while featuring characteristics
(such as IP address) that enable them to be uniquely
identified in the network, and the c
Chapter 4
IP Addresses:
Classful Addressing
Objectives
Upon completion you will be able to:
Understand IPv4 addresses and classes
Identify the class of an IP address
Find the network address given an IP address
Understand masks and how to use them
Un
Application Report
SPRA890A  January 2003 Revised April 2003
Programming Examples for the 24x/240xA CAN
Hareesh Janakiraman
Advanced Embedded Control Group
ABSTRACT
The 24x (TMS320F243 and TMS320F241) and 240xA (TMS320LF2407A, 2406A, and
2403A) series of
Controller Area Network (CAN) Tutorial
A Controller Area Network (CAN) bus is a highintegrity serial bus system
for networking intelligent devices. CAN busses and devices are common
components in automotive and industrial systems. Using a CAN interface
d
Serial Port Using Visual Basic .NET and Windows
Introduction
The serial (COM) port is one of the simplest ways to communicate between a PC and a
microcontroller circuit. Most microcontrollers have hardware serial ports and most
microcontroller compilers h
National Institute of Technology, Rourkela
Dept. of Electronics and Communication Engineering
B. Tech 6th Semester (EI)
Subject: Analog Communication Systems (EC 311)
Assignment4
1. The input to the system show in Figure is the signal plus noise waveform