This is a primer for all who wish to learn more about how CETPA stands as training organization settled in Noida dealing with MATLAB

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MATLAB®
10/6/2016
1
CETPA
INFOTECH
Private Limited
Corporate Office –
D-58 , Near Red
FM Lane ,Noida
(201301)
R2016a
Presented by
Eshaan Verma
Manager
Training Team
CETPA Noida

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Agenda
• INTRODUCTION TO MATLAB
• INTRODUCTION TO SIMULINK
• INTRODUCTION TO PHYSICAL TOOLS
• INTRODUCTION TO INTERFACING
• APPLICATIONS OF MATLAB
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What is Matlab?
 Matlab is basically a high level
language which has many specialized
toolboxes for making things easier for
us.
Assembly
High Level
Languages such as
C, Pascal etc.
Matlab

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What are we interested in?
 Matlab is too broad for our purposes in
this course.
Matlab
Command
Line
m-files
functions
mat-files
Command
execution like
DOS command
window
Series of
Matlab
commands
Input
Output
capability
Data
storag
e/
loadin
g

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WHO WORK WITH MATLAB
• ENGINEERING PROFESSIONALS
• SCIENTISTS & RESEARCHERS
• FINANCIAL PROGRAMMERS
• AUTOMOTIVE MANAGERS
• LIFESCIENCE EXECUTIVES
• SOFTWARE DEVELOPERS
• STUDENTS
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MODEL BASED DESIGN
 WHAT IS MODEL BASED DESIGN
 Methodology to design complex systems
 Using models and simulation
 Using tools for automation
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1
4
Introduction to Simulink
The leading environment for modeling,
simulating, and implementing dynamic
and embedded systems
 Block-diagram environment
 Model, simulate
and analyze
systems with many
components
 Accurately design, implement, and test:
– Control systems
– Signal processing systems
– Communications systems
– And other dynamic systems

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PHYSICAL MODELLING TOOLS
 Simscape
 Model and simulate multidomain physical
systems.
 Simscape™ enables you to rapidly create
models of physical systems within the
Simulink® environment.
 With Simscape you build physical
component models based on physical
connections that directly integrate with
block diagrams and other modeling
paradigms.
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Why model a physical system?
 Example:
humanoid robot arm
–
What are the actuation
requirements?
 Space and weight constraints
 Torque/force, speed & power
 Compliance
 Precision
 Dynamic tracking bandwidth
 Failure behaviour
Which actuation
technology?
–
–
What is the impact on
the rest of the system
 Power supply
requirements
 Heat
 Electromagnetic
interference
3
System model with
selectable detailed &
behavioural sub-models
Behavioural model
of actuation system
System-level model of
complete system

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Phys
ical
Si
m
sc
ap
e
MATLAB,
Simulink
Simscape
Electrical
power
systems Multidomainphysical
system
Fluid power and contro
l
Multibody
mechanics (3-
D)
Electromechanical and
electronic systemsPowertrain
systems (1-D) 9
SimMechanicsSimPowerSystems
SimDriveline
SimElectronicsSimHydraulics
Mecha
nical
Hydr
aulic
Elect
rical
Ther
mal
Ther
mal
Liq
uid
Pneu
matic
Magn
etic
N
S
Mecha
nical
Custom Domains
(Simscape Language)
What is Physical Modelling

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1. Focus on algorithmic
design
2. Anticipate
implementation
3. Verification test-
benches
Interfacing matlab and
simulink model-based
design
speeds up the development
process
11
IMPLEMENTATION
TEST&VERIFICATION
DESIGN
RESEARCH REQUIREMENTS
INTEGRATION

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Improve team communication with
multi-domain executable specifications
 DESI
GN
 Algorithms
 Many trusted
functions
 Use the most
suitable
modeling
approach
12
TEST&VERIFICATION
RESEAR
CH
REQUIREME
NTS
INTEGRATION

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Achieve early verification with
refined models
anticipating real impairments
13
 Bit-true
simulation
 Multi-domain
physical
models
IMPLEMENTATION
TEST&VERIFICATION
RESEARCH REQUIREMENTS
Fixed-
Point
Physical
Models
DESIGN
Algorithms
AnalogDigital
INTEGRATION

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Rapid prototyping with code
generation:
less debugging, better design
14
 C / C++
 Synthesizable
HDL
IMPLEMENTA
TION
TEST&VERIFICATION
RESEARCH REQUIREMENTS
Fixed-
Point
Physical
Models
DESIGN
Algorithms
AnalogDigital
FPG
A
ASI
C
VHDL,
Verilog
MC
U
C,
C++
DSP
Processors
INTEGRATION

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One testbench fits all:
unambiguous verification of
the specs
IMPLEMENTATION
TEST&VERIFICATION
RESEARCH
REQUIREMENTS
Fixed-
Point
Physical
Models
DESIGN
Algorithms
AnalogDigital  System-level
test
 Co-simulation
 “Hardware in the
loop”
verification
FPG
A
ASI
C
VHDL,
Verilog
MC
U
C,
C++
DSP
Processors
INTEGRATION
10

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APPLICATION
EXAMPLE
16

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Demo: Parametric Audio Equalizer
Digital filters used to adjust the frequency
content of an audio signal
17
 Parametric response that can be run-time
controlled
 Three band equalizer
– Low Band: 60 to 1500 Hz
– Mid Range: 1200 to 4800 Hz
– High Range: 4800 to 12 kHz
– Amplitude range: -8 to +8 dB

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TEXAS
INSTRUMENTS
DM6437 EVM
18

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Target #1: TI DM6437 EVM
19
CAN/Se
rial
Ethern
et
US
B
JTA
G
Proces
sor
P
CI
Vide
o
Aud
io
PM
U

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10/6/2016
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Indian Institute of Technology Delhi
Integrates MATLAB Throughout
Master’s Level Mechanical Engineering
Curriculum
•Screenshot from an animation created by the
MATLAB based software ReDySim (Recursive
Dynamics Simulator).
•“We wanted software our students could use for
numerical computation, mathematical modeling,
and data visualization.
•The software had to be easy to learn, interactive,
• applicable to many disciplines, and useful for
years to come.
• MATLAB fulfilled all those objectives and more.”
Dr. Subir Kumar Saha, Indian Institute of
Technology Delhi

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Tata Motors Develops Engine
Management System for Tata Nano,
the World’s Least Expensive Car
•
The Tata Nano.
•“Prototyping with Model-Based Design proved
essential.
•With an integrated platform for modeling,
simulation, and testing, we could rapidly make
changes and predict how the whole system would
react before it was built.
•This early insight shaped the design of the
controller, engine, and Nano itself.”
S Govindarajan, Tata Motors

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Thank you