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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
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Laplace & Inverse Transform convoltuion them.pptx
1. ENGINEERING MATHEMATICS -IV
SUBJECT CODE: BSH251
(Regulation 2016-17)
Common to all branches of B.E
UNIT-I
LAPLACE TRANSFORM
Engineering Maths - IV
Laplace Transform Page 1
2. Engineering Maths - IV
UNIT-V
LAPLACE TRANSFORM
1. INTRODUCTION
A transformation is an operation which converts a mathematical expression to a different but
equivalent form. The well known transformation logarithms reduce multiplication and division to a simpler
process of addition subtraction.
The Laplace transform is a powerful mathematical technique which solves linear equations
with given initial conditions by using algebra methods. The Laplace transform can also be used to solve
systems of differential equations, Partial differential equations and integral equations. In this chapter, we
will discuss about the definition, properties of Laplace transform and derive the transforms of some
functions which usually occur in the solution of linear differential equations.
2. LAPLACE TRANSFORM
Let 𝑓(𝑡) be a function of t defined for all 𝑡 ≥ 0 .then the Laplace transform of𝑓(𝑡), denoted by
𝐿[ 𝑓(𝑡)] is defined by
𝐿[ 𝑓(𝑡)] = ∫0
∞
𝑒−𝑠𝑡 𝑓(𝑡)𝑑𝑡
𝑡→∞
Provided that the integral exists, “s” is a parameter which may be real or complex. Clearly 𝐿[ 𝑓(𝑡)]is a
function of s and is briefly written as 𝐹(𝑠) (𝑖. 𝑒. ) 𝐿[ 𝑓(𝑡)] = 𝐹(𝑠)
Piecewise continuous function
A function 𝑓(𝑡) is said to be piecewise continuous is an interval 𝑎 ≤ 𝑡 ≤ 𝑏, if the interval can be sub
divided into a finite number of intervals in each of which the function is continuous and has finite right and
left hand limits.
Exponential order
A function 𝑓(𝑡) is said to be exponential order if lim 𝑒−𝑠𝑡𝑓(𝑡) is a finite quantity, where 𝑠 >
0(exists).
Example: 5. 1 Show that the function 𝒇(𝒕) = 𝒆𝒕𝟑
is not of exponential order.
Solution:
lim 𝑒−𝑠𝑡 𝑒𝑡3
=lim 𝑒−𝑠𝑡+𝑡3
= lim 𝑒𝑡3−𝑠𝑡
𝑡→∞ 𝑡→∞ 𝑡→∞
= 𝑒∞ = ∞, not a finite quantity.
Hence 𝑓(𝑡) = 𝑒𝑡3
is not of exponential order.
Sufficient conditions for the existence of the Laplace transform
The Laplace transform of 𝑓(𝑡) exists if
i)
ii)
𝑓(𝑡) is piecewise continuous in the interval 𝑎 ≤ 𝑡 ≤ 𝑏
𝑓(𝑡) is of exponential order.
Laplace Transform Page 2
3. Engineering Maths - IV
Note: The above conditions are only sufficient conditions and not a necessary condition.
Example: 5.2 Prove that Laplace transform of 𝒆𝒕𝟐
does not exist.
Solution:
lim 𝑒−𝑠𝑡 𝑒𝑡2
=lim 𝑒−𝑠𝑡+𝑡2
= lim 𝑒𝑡2−𝑠𝑡
𝑡→∞ 𝑡→∞ 𝑡→∞
= 𝑒∞ = ∞ ,not a finite quantity.
∴ 𝑒𝑡2
is not of exponential order.
Hence Laplace transform of 𝑒𝑡2
does not exist.
5.3 PROPERTIES OF LAPLACE TRANSFORM
Property: 1 Linear property
𝑳[𝒂𝒇(𝒕) ± 𝒃𝒈(𝒕)] = 𝒂𝑳[𝒇(𝒕)] ± 𝒃𝑳[𝒈(𝒕)] , where a and b are constants.
Proof:
𝐿[𝑎𝑓(𝑡) ± 𝑏𝑔(𝑡)] = ∫
∞
[𝑎𝑓(𝑡) ± 𝑏𝑔(𝑡)] 𝑒−𝑠𝑡 𝑑𝑡
0
=𝑎 ∫0
∞
𝑔(𝑡) 𝑒−𝑠𝑡𝑑𝑡
∞
𝑓(𝑡)𝑒−𝑠𝑡𝑑𝑡 ± 𝑏 ∫
0
𝐿[𝑎𝑓(𝑡) ± 𝑏𝑔(𝑡)] = 𝑎 𝐿[𝑓(𝑡)] ± 𝑏 𝐿[𝑔(𝑡)]
Property: 2 Change of scale property.
𝒂 𝒂
If 𝑳[𝒇(𝒕)] = 𝑭(𝒔), then 𝑳[𝒇(𝒂𝒕)] = 𝟏
𝑭 (𝒔
) ;𝒂 > 0
Proof:
Given 𝐿[𝑓(𝑡)] = 𝐹(𝑠)
∞
𝑒−𝑠𝑡 𝑓(𝑡) 𝑑𝑡 = 𝐹(𝑠) ⋯ ⋯ (1)
∴ ∫0
By the definition of Laplace transform, we have
𝐿[𝑓(𝑎𝑡)] = ∫0
∞
𝑒−𝑠𝑡 𝑓(𝑎𝑡) 𝑑𝑡 ⋯ ⋯ (2)
Put at= 𝑥 𝑖𝑒. , 𝑡 = 𝒙
⇒ 𝑑𝑡 = 𝑑𝑥
𝒂 𝑎
−𝒔𝒙
∞ 𝑑𝑥
(2) ⇒ 𝐿[𝑓(𝑎𝑡)] = ∫0 𝑒 𝒂 𝑓(𝑥) 𝑎
−𝒔𝒙
𝟏 ∞
= ∫ 𝑒 𝒂 𝑓(𝑥)𝑑𝑥
𝒂 0
Replace 𝑥 by t,
−𝑠
𝑡
1 ∞
𝐿[𝑓(𝑎𝑡)] = ∫ 𝑒 𝑎 𝑓(𝑡)𝑑𝑡
𝑎 0
𝟏 𝒔
𝒂 𝒂
𝑳[𝒇(𝒂𝒕)] = 𝑭 ( ) ;𝒂 > 0
Property: 3 First shifting property.
𝑳[𝒆−𝒂𝒕𝒇(𝒕)] = 𝑭(𝒔 + 𝒂)
𝑳[𝒆𝒂𝒕𝒇(𝒕)] = 𝑭(𝒔 − 𝒂)
If 𝑳[𝒇(𝒕)] = 𝑭(𝒔), then i)
ii)
Proof:
(i) 𝐿[𝑒−𝑎𝑡𝑓(𝑡)] = 𝐹(𝑠 + 𝑎)
Laplace Transform Page 3
47. 𝑡→0 𝑠→∞
𝑡→∞ 𝑠→0
∴ Initial value theorem is verified
Final value theorem is lim𝑓(𝑡) = lim𝑠𝐹(𝑠)
Engineering Maths - IV
= 4 ⋯ (2)
From (1) and (2), lim𝑓(𝑡) = lim𝑠𝐹(𝑠)
lim𝑓(𝑡) = lim[𝑒−𝑡(𝑡2 + 4𝑡 + 4)]
𝑡→∞ 𝑡→∞
𝑠→0 𝑠→0
= 0 ⋯ (3)
2𝑠
lim𝑠𝐹(𝑠) = lim [ +
(𝑠+1)3 (𝑠+1)2 𝑠+1
4𝑠
+ 4𝑠
]
= 0 ⋯ (4)
From (3) and (4), lim𝑓(𝑡) = lim𝑠𝐹(𝑠)
𝑡→∞ 𝑠→0
∴ Final value theorem is verified.
Example: 5.54 If 𝑳[𝒇(𝒕)] =
𝟏
𝒔(𝒔+𝟏)
, find the 𝐥𝐢𝐦𝒇(𝒕) and 𝐥𝐢𝐦𝒇(𝒕) using initial and final value
𝒕→𝟎 𝒕→∞
theorems.
Solution:
Given 𝐿[𝑓(𝑡)] =
1
𝑠(𝑠+1)
⋯ (1)
𝑖𝑒. , 𝐹(𝑠) =
1
=> 𝑠𝐹(𝑠) =
𝑠(𝑠+1) (𝑠+1)
1
Initial value theorem is lim𝑓(𝑡) = lim𝑠𝐹(𝑠)
𝑡→0 𝑠→∞
= lim
1
𝑠→∞ (𝑠+1)
= 0
Final value theorem is lim𝑓(𝑡) = lim𝑠𝐹(𝑠)
𝑡→∞ 𝑠→0
= lim
1
𝑠→0 (𝑠+1)
= 1
Exercise: 5.9
1. Verify the initial value theorem for the function
2. Verify the initial value theorem for the function
3. Verify the initial value theorem for the function
𝑓(𝑡) = 𝑒−𝑡𝑠𝑖𝑛𝑡
𝑓(𝑡) = sin2 𝑡
𝑓(𝑡) = 1 + 𝑒−𝑡 + 𝑡2
4. Verify the Final value theorem for the function 𝑓(𝑡) = 1 − 𝑒−𝑎𝑡
5. Verify the Final value theorem for the function 𝑓(𝑡) = 𝑡2𝑒−3𝑡
5.8 CONVOLUTION THEOREM
Definition: Convolution of two functions
The convolution of two functions 𝑓(𝑡) and 𝑔(𝑡) is denoted by 𝑓(𝑡) ∗ 𝑔(𝑡) and defined by
𝑡
𝑓(𝑢)𝑔(𝑡 − 𝑢)𝑑𝑢.
𝑓(𝑡) ∗ 𝑔(𝑡) = ∫0
State and prove Convolution theorem
Statement: If 𝐿[𝑓(𝑡)] = 𝐹(𝑠) and 𝐿[𝑔(𝑡)] = 𝐺(𝑠), then 𝐿[𝑓(𝑡)] ∗ 𝐿[𝑔(𝑡)] = 𝐹(𝑠)𝐺(𝑠)
Laplace Transform
Page47
48. Engineering Maths - IV
Proof:
𝑡
𝑓(𝑢)𝑔(𝑡 − 𝑢)𝑑𝑢
We have 𝑓(𝑡) ∗ 𝑔(𝑡) = ∫0
𝐿[𝑓(𝑡) ∗ 𝑔(𝑡)] = ∫
∞
[𝑓(𝑡) ∗ 𝑔(𝑡)] 𝑒−𝑠𝑡𝑑𝑡
0
∞ 𝑡
𝑓(𝑢)𝑔(𝑡 − 𝑢)𝑑𝑢𝑒−𝑠𝑡𝑑𝑡
= ∫0 ∫0
= ∫0 ∫0
∞ 𝑡
𝑓(𝑢)𝑔(𝑡 − 𝑢)𝑒−𝑠𝑡 𝑑𝑢𝑑𝑡 ⋯ (1)
Now we have no change the order of integration.
𝑢 = 0, 𝑢 = 𝑡;𝑡 = 0, 𝑡 = ∞
Change of order is . Draw horizontal strip PQ
At P, 𝑡 = 𝑢, At A 𝑢 = ∞
∞ ∞
𝑓(𝑢)𝑔(𝑡 − 𝑢)𝑒−𝑠𝑡𝑑𝑡𝑑𝑢
𝐿[𝑓(𝑡) ∗ 𝑔(𝑡)] = ∫0 ∫𝑢
∞
= ∫
0 𝑓(𝑢) [∫
𝑢
∞
𝑔(𝑡 − 𝑢)𝑒−𝑠𝑡 𝑑𝑡]𝑑𝑢 ⋯ (2)
Put 𝑡 − 𝑢 = 𝑥 ⋯ (3)
𝑡 = 𝑢 + 𝑥 ⇒ 𝑑𝑡 = 𝑑𝑥
When 𝑡 = 𝑢;(3) ⇒ 𝑥 = 0
When 𝑡 = ∞; (3) ⇒ 𝑥 = ∞
(2) ⇒ 𝐿[𝑓(𝑡) ∗ 𝑔(𝑡)] = ∫0
∞
𝑓(𝑢) [∫0
∞
𝑔(𝑥)𝑒−𝑠(𝑢+𝑥)𝑑𝑥]𝑑𝑢
∞
= ∫
0 𝑓(𝑢) [∫
0
∞
𝑔(𝑥)𝑒−𝑠𝑢𝑒−𝑠𝑥𝑑𝑥]𝑑𝑢
∞
𝑔(𝑥)𝑒−𝑠𝑥𝑑𝑥
∞ −𝑠𝑢
= ∫
0 𝑓(𝑢)𝑒 𝑑𝑢 ∫
0
= 𝐿[𝑓(𝑢)]𝐿[𝑔(𝑥)]
∴ 𝐿[𝑓(𝑡) ∗ 𝑔(𝑡)] = 𝐹(𝑠)𝐺(𝑠)
Note: Convolution theorem is very useful to compute inverse Laplace transform of product of two terms
Convolution theorem is 𝐿[𝑓(𝑡) ∗ 𝑔(𝑡)] = 𝐹(𝑠)𝐺(𝑠)
𝐿−1[𝐹(𝑠)𝐺(𝑠)] = 𝑓(𝑡) ∗ 𝑔(𝑡)
𝐿−1[𝐹(𝑠)𝐺(𝑠)] = 𝐿−1[𝐹(𝑠)] ∗ 𝐿−1[𝐺(𝑠)]
Problems under Convolution theorem
Example: 5.55 Find 𝑳−𝟏 [
𝟏
(𝒔+𝒂)(𝒔+𝒃)
] using convolution theorem.
Solution:
𝐿−1 1 1 1
[ ] = 𝐿−1 [ ] ∗ 𝐿−1 [ ]
(𝑠+𝑎)(𝑠+𝑏) (𝑠+𝑎) (𝑠+𝑏)
= 𝑒−𝑎𝑡 ∗ 𝑒−𝑏𝑡
= ∫0
𝑡
𝑒−𝑎𝑢𝑒−𝑏(𝑡−𝑢) 𝑑𝑢
∫0
= 𝑒−𝑏𝑡 𝑡
𝑒−𝑎𝑢 𝑒𝑏𝑢𝑑𝑢
∫0
= 𝑒−𝑏𝑡 𝑡
𝑒(𝑏−𝑎)𝑢 𝑑𝑢
Laplace Transform
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