This document discusses vector mechanics concepts such as vectors, vector components, unit vectors, vector addition, scalar and vector multiplication, linear and angular velocity, and rigid body rotation. It provides definitions and examples of these concepts as they relate to mechanical engineering and the dynamics of drones. Key topics covered include defining vectors and their components, using unit vectors to express vectors, performing scalar and vector multiplication, describing linear and angular velocity, and transforming vectors under rigid body rotation.
Final Year Engineering Project Seminar
For more information, check out my papers online:
Command controlled robot:
http://www.ijtre.com/manuscript/2014010976.pdf
Self controlled robot:
http://www.ijtre.com/manuscript/2014011008.pdf
Gesture controlled robot:
http://www.ijtre.com/manuscript/2014011107.pdf
A short presentation on MEMS gyroscope. Contents are as below:
Gyroscope
Gyroscopic Principle
Introduction to MEMS
MEMS Gyroscope
Fundamental Concept and Design Principle
Working Principle
Fabrication Technologies
Applications & Future Scope
Conclusion
References
This presention is about one of the most important concept of control system called State space analysis. Here basic concept of control system and state space are discussed.
Its a free source of energy we know very well man has needed and used energy at an increasing rate for the sustenance and well-being since time immemorial. Due to this a lot of energy resources have been exhausted and wasted. Proposal for the utilization of waste energy of foot power with human locomotion is very much relevant and important for highly populated countries like India where the railway station, temples etc., are overcrowded all round the clock .When the flooring is engineered with piezo electric technology, the electrical energy produced by the pressure is captured by floor sensors and converted to an electrical charge by piezo transducers, then stored and used as a power source. And this power source has many applications as in agriculture, home application and street lighting and as energy source for sensors in remote locations.
Data Acquisition System
Topics:Need of Data Acquisition System, DAQ Module, Sensors, Signal conditioning, DAQ hardware, DAQ software, DAQ processors, Advantages & Disadvantages.
Differential Geometry for Machine LearningSEMINARGROOT
References:
Differential Geometry of Curves and Surfaces, Manfredo P. Do Carmo (2016)
Differential Geometry by Claudio Arezzo
Youtube: https://youtu.be/tKnBj7B2PSg
What is a Manifold?
Youtube: https://youtu.be/CEXSSz0gZI4
Shape analysis (MIT spring 2019) by Justin Solomon
Youtube: https://youtu.be/GEljqHZb30c
Tensor Calculus
Youtube: https://youtu.be/kGXr1SF3WmA
Manifolds: A Gentle Introduction,
Hyperbolic Geometry and Poincaré Embeddings by Brian Keng
Link: http://bjlkeng.github.io/posts/manifolds/,
http://bjlkeng.github.io/posts/hyperbolic-geometry-and-poincare-embeddings/
Statistical Learning models for Manifold-Valued measurements with application to computer vision and neuroimaging by Hyunwoo J.Kim
Final Year Engineering Project Seminar
For more information, check out my papers online:
Command controlled robot:
http://www.ijtre.com/manuscript/2014010976.pdf
Self controlled robot:
http://www.ijtre.com/manuscript/2014011008.pdf
Gesture controlled robot:
http://www.ijtre.com/manuscript/2014011107.pdf
A short presentation on MEMS gyroscope. Contents are as below:
Gyroscope
Gyroscopic Principle
Introduction to MEMS
MEMS Gyroscope
Fundamental Concept and Design Principle
Working Principle
Fabrication Technologies
Applications & Future Scope
Conclusion
References
This presention is about one of the most important concept of control system called State space analysis. Here basic concept of control system and state space are discussed.
Its a free source of energy we know very well man has needed and used energy at an increasing rate for the sustenance and well-being since time immemorial. Due to this a lot of energy resources have been exhausted and wasted. Proposal for the utilization of waste energy of foot power with human locomotion is very much relevant and important for highly populated countries like India where the railway station, temples etc., are overcrowded all round the clock .When the flooring is engineered with piezo electric technology, the electrical energy produced by the pressure is captured by floor sensors and converted to an electrical charge by piezo transducers, then stored and used as a power source. And this power source has many applications as in agriculture, home application and street lighting and as energy source for sensors in remote locations.
Data Acquisition System
Topics:Need of Data Acquisition System, DAQ Module, Sensors, Signal conditioning, DAQ hardware, DAQ software, DAQ processors, Advantages & Disadvantages.
Differential Geometry for Machine LearningSEMINARGROOT
References:
Differential Geometry of Curves and Surfaces, Manfredo P. Do Carmo (2016)
Differential Geometry by Claudio Arezzo
Youtube: https://youtu.be/tKnBj7B2PSg
What is a Manifold?
Youtube: https://youtu.be/CEXSSz0gZI4
Shape analysis (MIT spring 2019) by Justin Solomon
Youtube: https://youtu.be/GEljqHZb30c
Tensor Calculus
Youtube: https://youtu.be/kGXr1SF3WmA
Manifolds: A Gentle Introduction,
Hyperbolic Geometry and Poincaré Embeddings by Brian Keng
Link: http://bjlkeng.github.io/posts/manifolds/,
http://bjlkeng.github.io/posts/hyperbolic-geometry-and-poincare-embeddings/
Statistical Learning models for Manifold-Valued measurements with application to computer vision and neuroimaging by Hyunwoo J.Kim
Collinearity Equations
Kinds of product that can be derived by the collinearity equation
- Space Resection By Collinearity
- Space Intersection By Collinearity
- Interior Orientation
- Relative Orientation
- Absolute Orientation
- Self-Calibration
Elasticity, Plasticity and elastic plastic analysisJAGARANCHAKMA2
It is actually the basis of structural engineering to study elasticity and plasticity analysis. So people who are also studying in various fields of structure and need to analyze finite element analysis also need to study this basis.
The Poynting theorem represents the time rate change of electromagnetic energy within a certain volume plus the time rate of energy flowing out through the boundary surface is equal to the power transferred into the electromagnetic field.
This statement follows the conservation of energy in electromagnetism and is known as the Poynting theorem.
Coordinate systems
orthogonal coordinate system
Rectangular or Cartesian coordinate system
Cylindrical or circular coordinate system
Spherical coordinate system
Relationship between various coordinate system
Transformation Matrix
DIFFERENTIAL VECTOR
Curvilinear, Cartesian, Cylindrical, Spherical table
18 me54 turbo machines module 03 question no 6a & 6bTHANMAY JS
Modal 03: Question Number 5 a & 5 b
i. Reaction Turbine (Parsons’s turbine)
ii. Degree of Reaction for Parsons’s turbine
iii. Condition for maximum utilization factor,
iv. Reaction staging.
v. Numerical Problems.
Previous Year Question papers
Outcome Based Education, Washington Accord, International Engineering Alliance, Graduate Attributes, Program Outcome, Competency, Performance Indicator, Examination Reforms by AICTE
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
2. V. K. Jadon, Prof., Mechanical Engineering, Chitkara University
Motor Mixing
Dynamics of Drone
The
Flow
…. Rotation
Kinematics
3. Vectors
A vector has magnitude and direction.
𝐴′
𝐵′
𝐴
𝐵 Both vectors represents
same quantity
𝒂
𝒃
Commutative Law
𝒂
𝒃
𝒃
𝒂
𝒂 + 𝒃 = 𝒃 + 𝒂
Associative Law
𝒄
𝒂
𝒃
𝒂 + 𝒃 + 𝒄 = 𝒂 + (𝒃 + 𝒄)
Addition
Subtraction
𝒂 𝒃
−𝒃
𝒂
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
4. Vector Components
𝒂
𝑎 𝑥
𝑎 𝑦
𝜃
A component of a vector is the projection of
the vector on an axis.
𝑥
𝑦
𝒂
𝑎 𝑥
𝑎 𝑦
𝜃
𝑥
𝑦
Shifting a vector without
changing its direction does not
change its components.
Using right angle triangle
𝑎 𝑥 = 𝑎𝑐𝑜𝑠𝜃 𝑎 𝑦 = 𝑎𝑠𝑖𝑛𝜃
Vector 𝒂 is given by 𝑎 and 𝜃.
Vector 𝒂 is given by 𝑎 𝑥 and 𝑎 𝑦.
𝑎 = 𝑎 𝑥
2
+ 𝑎 𝑦
2
Vector 𝒂 can be transformed into
magnitude-angle notation
𝑡𝑎𝑛𝜃 =
𝑎 𝑦
𝑎 𝑥
For 3D case, we need a magnitude and
two angles or three components to
represent a vector
V K Jadon, Professor, Mechanical Engineering, Chitkara University
5. Unit Vector
A unit vector has unit magnitude
𝒊, 𝒋, 𝒌 are the unit vectors along x, y and z axes
respectively. These are used to express any vector.
𝒂
𝑎 𝑥
𝑎 𝑦
𝜃
𝑥
𝑦
𝒂 = 𝑎 𝑥 𝒊 + 𝑎 𝑦 𝒋
𝒂 = 𝑎 𝑥 𝒊 + 𝑎 𝑦 𝒋 + 𝑎 𝑧 𝒌
𝒃 = 𝑏 𝑥 𝒊 + 𝑏 𝑦 𝒋 + 𝑏 𝑧 𝒌
𝑖𝑓 𝒓 = 𝒂 + 𝒃
𝑟𝑥 = 𝑎 𝑥 + 𝑏 𝑥
𝑟𝑦 = 𝑎 𝑦 + 𝑏 𝑦
𝑟𝑧 = 𝑎 𝑧 + 𝑏 𝑧
𝒂
𝑎 𝑥
𝑎 𝑦
𝜃
𝑥
𝑦
𝑎 = 𝑎 𝑥
2
+ 𝑎 𝑦
2
𝒓 = 𝑟𝑥 𝒊 + 𝑟𝑦 𝒋 + 𝑟𝑧 𝒌
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
6. 𝒂 = 𝑎 𝑥 𝒊 + 𝑎 𝑦 𝒋 + 𝑎 𝑧 𝒌
𝑎 𝑥
𝑎 𝑦
𝑥
𝑦
𝑎 𝑧
Vector in Space
𝑧
In matrix form 𝒂 =
𝑎 𝑥
𝑎 𝑦
𝑎 𝑧
𝒂 =
𝐴 𝑥
𝐴 𝑦
𝐴 𝑧
𝑤
Modified form to include scale factor
Where
𝑎 𝑥 =
𝐴 𝑥
𝑤
𝑎 𝑦 =
𝐴 𝑦
𝑤
𝑎 𝑧 =
𝐴 𝑧
𝑤
If 𝑤 > 1 scale up If 𝑤 < 1 scale down
𝑤 = 0 means components are infinite. It represents
only the direction of the vector.
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
7. Multiplication of Vectors
Scalar Product is regarded as product of magnitude of
one vector and the scalar component of the second
vector along the direction of first vector.
𝒂
𝜃
𝒃
𝒂 .𝒃 = 𝑎 (𝑏 𝑐𝑜𝑠𝜃)
𝒂
𝜃
𝒃
𝑎 𝑐𝑜𝑠𝜃
𝒂 .𝒃 = 𝑏 (𝑎 𝑐𝑜𝑠𝜃)
𝒂 = 𝑎 𝑥 𝒊 + 𝑎 𝑦 𝒋 + 𝑎 𝑧 𝒌
𝒃 = 𝑏 𝑥 𝒊 + 𝑏 𝑦 𝒋 + 𝑏 𝑧 𝒌
𝒂. 𝒃 = 𝑎 𝑥 𝑏 𝑥 + 𝑎 𝑦 𝑏 𝑦 + 𝑎 𝑧 𝑏 𝑧
What is the angle between 3.0𝒊 − 4.0𝒋 and −2.0𝒊 + 3.0𝒌
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
8. Multiplication of Vectors
Vector Product of two vectors produces another vector
whose magnitude is 𝑎𝑏 𝑠𝑖𝑛𝜃 and acts along
perpendicular to the plane that contains the two vectors.
𝒂
𝜃
𝒃
𝒄 = 𝒂 × 𝒃 = 𝑎 𝑏 𝑠𝑖𝑛𝜃 𝒄
𝒂 = 𝑎 𝑥 𝒊 + 𝑎 𝑦 𝒋 + 𝑎 𝑧 𝒌 𝒃 = 𝑏 𝑥 𝒊 + 𝑏 𝑦 𝒋 + 𝑏 𝑧 𝒌
𝒂 × 𝒃 = (𝑎 𝑦 𝑏 𝑧 − 𝑏 𝑦 𝑎 𝑧)𝒊 + (𝑎 𝑧 𝑏 𝑥 − 𝑏 𝑧 𝑎 𝑥)𝒋 +(𝑎 𝑥 𝑏 𝑦 − 𝑏 𝑥 𝑎 𝑦)𝒌
𝒂
𝜃
𝒃
𝒄 = 𝒃 × 𝒂 = 𝑎 𝑏 𝑠𝑖𝑛𝜃
A vector lies in xy plane, has magnitude of 18 units and
points in a direction 250 from the positive direction of x,
Also, vector b has magnitude of 12 units and points along
the positive direction of z. what is the vector product.
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
9. Linear Velocity
𝑶 𝑥
𝑦
𝐴 𝑡 = 𝑡 𝐴
𝑡 = 𝑡 𝐵
What is the direction of velocity of particle when 𝑡 > 0; 𝑡 ≤ 𝑡 𝐴 ?
What is the direction of velocity of particle when 𝑡 > 𝑡 𝐴; 𝑡 ≤ 𝑡 𝐵 ?
What is the velocity of particle when 𝑡 = 𝑡 𝐵 ?
What is the direction of velocity of particle when 𝑡 = 𝑡 𝐵 ?
𝐵
𝒓
𝒗 𝑩 ∆𝒕 = lim
∆𝑡→0
∆𝒔
∆𝑡
=
𝑑𝒔
𝑑𝑡
𝒗 𝑩 𝒂𝒗𝒈 =
𝑑𝒓
𝑑𝑡
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
10. 𝑶
𝑥
𝑦
𝑧
rotation about x-axis
𝑶
𝑥
𝑦
𝑧
𝜃 𝑥 = 900
𝜃 𝑥
𝜃 𝑦
𝜃 𝑦 = 900
𝑶
𝑥
𝑦
𝑧
rotation about y-axis
Angular Displacement
𝜃 𝑦 = 900
𝑶
𝑥
𝑦
𝑧
rotation about y-axis rotation about x-axis
𝜃 𝑥 = 900
𝜃 𝑦
𝑶
𝑥
𝑦
𝑧
𝜽 𝒙 + 𝜽 𝒚 ≠ 𝜽 𝒚 + 𝜽 𝒙
𝜃 𝑥
𝝎 = lim
∆𝜽→𝟎
∆𝜽
∆𝒕
Direction is given by
Right Hand Rule
∆𝜽 𝒙 + ∆𝜽 𝒚 = ∆𝜽 𝒚 + ∆𝜽 𝒙
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
Commutative Law not valid
11. Velocity and Acceleration
𝑶 𝑥
𝑦
𝑃
𝜔
𝒗 𝒑 =
𝑑(𝒓)
𝑑𝑡
= 𝝎 × 𝒓
𝝎 = 𝜔 𝒌 𝒓 = 𝑟 𝒓
𝒌 × 𝒓 = 𝒓 𝜽
Where 𝒌, 𝒓 𝑎𝑛𝑑 𝒓 𝜽 constitute a
right hand coordinate system
𝑨 𝒑 =
𝑑(𝒗 𝒑)
𝑑𝑡
=
𝑑(𝝎 × 𝒓 )
𝑑𝑡
If 𝝎 is constant
= 𝝎 ×
𝑑𝒓
𝑑𝑡
+
𝑑𝝎
𝑑𝑡
× 𝒓
𝑨 𝒑 = 𝝎 ×
𝑑𝒓
𝑑𝑡
= 𝝎 × 𝑟
𝑑 𝒓
𝑑𝑡
𝑑(𝒓)
𝑑𝑡
= 𝑟
𝑑( 𝒓)
𝑑𝑡
= 𝑟(𝝎 × 𝒓)
𝑑𝝎
𝑑𝑡
= 0
= 𝝎 × 𝑟(𝝎 × 𝒓) = 𝝎 × (𝝎 × 𝒓)
If 𝝎 changes with time
𝑨 𝒑 = 𝝎 × 𝝎 × 𝒓 + 𝛂 × 𝒓
𝒓
Magnitude 𝑟 does not change
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
13. Rigid body Rotation
𝒂
𝑎 𝑥
𝑎 𝑦
𝑥
𝑦
𝒂 = 𝑎 𝑥 𝒊 + 𝑎 𝑦 𝒋 𝒂′ = 𝑎 𝑥
′′
𝒊 + 𝑎 𝑦
′′
𝒋
𝒂 = 𝑎 𝑥 𝒊 + 𝑎 𝑦 𝒋
𝒂′ = 𝑎 𝑥 𝒊′ + 𝑎 𝑦 𝒋′
𝑃
𝑦′
𝑥′
𝒂′
𝑎 𝑦
𝑎 𝑥
𝜃
𝑃
Position vector 𝒂 of
point 𝑃 in a rigid body
Position vector 𝒂′ of
point 𝑃 in a rigid body after
rotation of rigid body about origin
Overlapping two positions of rigid
body before and after rotation.
𝑦′
𝑥′
𝑎 𝑦
′
𝑎 𝑥
′
𝒂
𝑎 𝑥
𝑎 𝑦
𝜃
𝑥
𝑦
𝒂′
𝑃
𝑃′
𝑎 𝑦
′′
𝑎 𝑥
′′
𝒂′ = 𝑎 𝑥 𝒊′ + 𝑎 𝑦 𝒋′
Rotated 𝑃 becomes 𝑃′
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
14. Rigid body Rotation
𝒂 = 𝑎 𝑥 𝒊 + 𝑎 𝑦 𝒋 𝒂′ = 𝑎 𝑥
′′
𝒊 + 𝑎 𝑦
′′
𝒋
𝑦′
𝑥′
𝑎 𝑦
′
𝑎 𝑥
′
𝒂
𝑎 𝑥
𝑎 𝑦
𝜃
𝑥
𝑦
𝒂′
𝑃
𝑃′
𝑎 𝑦
′′
𝑎 𝑥
′′
𝒂′ = 𝑎 𝑥 𝒊′ + 𝑎 𝑦 𝒋′
In matrix form
𝒂 = 𝑎 𝑥 𝑎 𝑦
𝒊
𝒋
𝒂′ = 𝑎′′ 𝑥 𝑎′′ 𝑦
𝒊
𝒋
𝒂 = 𝑎 𝑇 𝒖 𝑎 𝑇 = 𝑎 𝑥 𝑎 𝑦
𝒂′ = 𝑎′′ 𝑇
𝒖 𝑎′ 𝑇
= 𝑎′′ 𝑥 𝑎′′ 𝑦
𝒂′ = 𝑎 𝑥 𝑎 𝑦
𝒊′′
𝒋′′
𝒂′ = 𝑎 𝑇
𝒖′ 𝑎 𝑇
= 𝑎 𝑥 𝑎 𝑦
𝒙 − 𝒂𝒙𝒊𝒔
𝒚 − 𝒂𝒙𝒊𝒔
𝑎 𝑥
𝑎 𝑦
𝒙′ − 𝒂𝒙𝒊𝒔
𝒚′ − 𝒂𝒙𝒊𝒔
𝑎′ 𝑥
𝑎′ 𝑦
Projection of 𝒂 𝑜𝑛 Projection of 𝒂′ 𝑜𝑛
𝒙 − 𝒂𝒙𝒊𝒔
𝒚 − 𝒂𝒙𝒊𝒔
𝑎′′ 𝑥
𝑎′′ 𝑦
Projection of 𝒂′ 𝑜𝑛
Our aim is to find projections of rotated vectors on
reference axes system in terms of the projections
of original vector on reference axis.
To find 𝑎′′ 𝑥, 𝑎′′ 𝑦 in terms of 𝑎 𝑥, 𝑎 𝑦
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
15. 𝑥0
Body Fixed Frame in Reference Frame
𝑦0
𝑧0
𝑥1
𝑦1
𝑧1
𝐹 =
𝑥1𝑥𝑜 𝑦1𝑥0 𝑧1𝑥0
𝑥1𝑦0 𝑦1𝑦0 𝑧1𝑦0
𝑥1𝑧0 𝑦1𝑧0 𝑧1𝑧0
𝑥0
𝑦0
𝑧0
𝑥1
𝑦1
𝑧1
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
16. 𝑦′
𝑥′
𝑝 𝑥
𝑝 𝑦
𝜃
𝑥
𝑦
𝑃
𝑃′
Pure Rotation about an axes
To find 𝑝 𝑥, 𝑝 𝑦 in terms of 𝑝 𝑥′ and 𝑝 𝑦′
𝒙 − 𝒂𝒙𝒊𝒔
𝒚 − 𝒂𝒙𝒊𝒔
𝑝 𝑥
𝑝 𝑦
𝒙′ − 𝒂𝒙𝒊𝒔
𝒚′ − 𝒂𝒙𝒊𝒔
𝑝 𝑥
𝑝 𝑦
Projection of 𝑷 𝑜𝑛 Projection of 𝑷′ 𝑜𝑛
𝒙 − 𝒂𝒙𝒊𝒔
𝒚 − 𝒂𝒙𝒊𝒔
𝑝 𝑥′
𝑝 𝑦′
Projection of 𝑷′ 𝑜𝑛
𝑝 𝑥 = projection of 𝑃′
along 𝒙 reference axis
𝑝 𝑥′
𝑝 𝑦′
𝑝 𝑦 = projection of 𝑃′
along 𝑦 reference axis
𝑝 𝑥′ = projection of 𝑃′ along 𝒙′ body fixed axis
𝑝 𝑦′ = projection of 𝑃′
along 𝒚′ body fixed axis
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
17. 𝑂𝐴 = 𝑝 𝑥 𝑂𝐵 = 𝑝 𝑦
𝜃
𝑃′
Pure Rotation about an axes
𝑂𝐶 = 𝑝 𝑥′ 𝑂𝐷 = 𝑝 𝑦′
𝑥
𝑦
𝑂
𝐶
𝐴
𝐵
𝐷
𝐸
𝐹
𝑝 𝑥 = 𝑂𝐴 = 𝑂𝐸 − 𝐴𝐸 …(i)
𝑂𝐸 = 𝑂𝐶 𝑐𝑜𝑠𝜃 = 𝑝 𝑥′ 𝑐𝑜𝑠𝜃
𝐴𝐸 = 𝐶𝐺
𝐺
= 𝐶𝑃′
𝑠𝑖𝑛𝜃 = 𝑝 𝑦′ 𝑠𝑖𝑛𝜃
𝑝 𝑥 = 𝑝 𝑥′ 𝑐𝑜𝑠𝜃 − 𝑝 𝑦′ 𝑠𝑖𝑛𝜃
𝑝 𝑦 = 𝑂𝐵 = 𝑂𝐹 + 𝐹𝐵 …(ii)
𝑂𝐹 = 𝑂𝐷 𝑐𝑜𝑠𝜃 = 𝑝 𝑦′ 𝑐𝑜𝑠𝜃
𝑝 𝑦 = 𝑝 𝑥′ 𝑠𝑖𝑛𝜃 + 𝑝 𝑦′ 𝑐𝑜𝑠𝜃
𝑝 𝑥
𝑝 𝑦
=
𝑐𝑜𝑠𝜃 −𝑠𝑖𝑛𝜃
𝑠𝑖𝑛𝜃 𝑐𝑜𝑠𝜃
𝑝 𝑥′
𝑝 𝑦′
Vector 𝒑 in reference frame is obtained if we multiply
vector 𝒑 in body frame (rotated fame) by rotation matrix.
𝒑 𝑥𝑦 = 𝑅(𝑧, 𝜃)𝒑 𝑥′ 𝑦′
𝑐𝑜𝑠𝜃 −𝑠𝑖𝑛𝜃
𝑠𝑖𝑛𝜃 𝑐𝑜𝑠𝜃
Projection of unit vector of 𝑥′ Projection of unit vector of 𝑦′
On unit vector of 𝑥
On unit vector of 𝑦
𝐻
𝐹𝐵 = 𝐻𝑃′
= 𝐷𝑃′ 𝑠𝑖𝑛𝜃 = 𝑝 𝑥′ 𝑐𝑜𝑠𝜃
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
18. 𝜃
Pure Rotation about an axes (3D)
𝑝 𝑥
𝑝 𝑦
𝑝 𝑧
=
𝑐𝑜𝑠𝜃 −𝑠𝑖𝑛𝜃 0
𝑠𝑖𝑛𝜃 𝑐𝑜𝑠𝜃 0
0 0 1
𝑝 𝑥′
𝑝 𝑦′
𝑝 𝑧′
Vector 𝒑 in reference frame is obtained if we multiply
vector 𝒑 in body frame (rotated fame) by rotation matrix.
𝒑 𝑥𝑦𝑧 = 𝑅(𝑧, 𝜃)𝒑 𝑥′ 𝑦′ 𝑧′
Projection of
unit vector of 𝑥′
Projection of
unit vector of 𝑧′
On unit vector of 𝑥
On unit vector of 𝑦
𝑥
𝑦
𝑂
𝑧
𝑃′
On unit vector of 𝑧
𝑐𝑜𝑠𝜃 −𝑠𝑖𝑛𝜃 0
𝑠𝑖𝑛𝜃 𝑐𝑜𝑠𝜃 0
0 0 1
Projection of
unit vector of 𝑦′
𝑝 𝑥
𝑝 𝑦
𝑝 𝑧
=
𝐶𝜃 −𝑆𝜃 0
𝑆𝜃 𝐶𝜃 0
0 0 1
𝑝 𝑥′
𝑝 𝑦′
𝑝 𝑧′
𝑅(𝑧, 𝜃)
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
24. Fundamental of Fluids
Laminar flow
Fluid flows in layers which does not cross each other.
Turbulent flow
The path traced by fluid particles crosses each other
due to high velocity and low viscosity
Compressible Flow
Density changes during the flow
Incompressible Flow
Density remains constant
Steady flow
Flow parameters such as pressure, velocity etc. does
not change w.r.t. time
Unsteady flow
Flow parameters change w.r.t. time
Continuity equation
Bernoulli’s Equation
Mass flow rate is constant at every cross section.
𝜌𝐴𝑣 = 𝑐𝑜𝑛𝑠𝑡𝑎𝑛𝑡 𝜌1 𝐴1 𝑣1 = 𝜌2 𝐴2 𝑣2 compressible flow
𝐴1 𝑣1 = 𝐴2 𝑣2 incompressible flow
𝑝
𝜌𝑔
+
𝑣2
2𝑔
+ 𝑍 = 𝑐𝑜𝑛𝑠𝑡𝑎𝑛𝑡
𝑝
𝜌𝑔
static pressure head
𝑣2
2𝑔
dynamic pressure head
𝑍 datum head
𝑝1
𝜌𝑔
+
𝑣1
2
2𝑔
+ 𝑍1 =
𝑝2
𝜌𝑔
+
𝑣2
2
2𝑔
+ 𝑍2
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
25. −𝑣𝑒 𝑝𝑠𝑡𝑎𝑡𝑖𝑐
+𝑣𝑒 𝑝𝑠𝑡𝑎𝑡𝑖𝑐
Dynamic pressure difference is responsible for Drag.
Static pressure difference is responsible for Lift.
More flow velocity is required at the top region of aerofoil compared to bottom to reach at a particular point.
Due to this, the dynamic pressure increases at top region and static pressure decreases.
Due to this low static pressure, the upward force (lift) is created.
1
2
Thrust
𝐿𝑒𝑎𝑑𝑖𝑛𝑔 𝐸𝑑𝑔𝑒
𝑇𝑟𝑎𝑖𝑙𝑖𝑛𝑔 𝐸𝑑𝑔𝑒
𝑀𝑎𝑥𝑖𝑚𝑢𝑚 𝐶𝑎𝑚𝑏𝑒𝑟
𝐶𝑎𝑚𝑏𝑒𝑟 𝐿𝑖𝑛𝑒
𝐶ℎ𝑜𝑟𝑑 𝐿𝑖𝑛𝑒
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
27. Quadcopter Dynamics
𝑀2
𝑀1
𝑀4
𝑀3
𝐹2𝐹3
𝐹1𝐹4
One for each degree of freedom
𝑥 − Translation along x-axis
𝜓 − Rotation about x-axis
𝑦 − Translation along y-axis
𝑧 − Translation along x-axis
∅ − Rotation about y-axis
𝜃 − Rotation about z-axis
𝜓, ∅, 𝜃 are known
as Euler Angles
𝜓, ∅, 𝜃 are called as Roll, Pitch, and Yaw Angles
Forward and backward
Left and Right
Up and Down
𝐹1, 𝐹2, 𝐹3, 𝐹4 thrust force at rotors 1, 2, 3, 4 respectively
𝑀1, 𝑀2, 𝑀3, 𝑀4 moment reaction at rotors 1, 2, 3, 4 respectively
Six equations to describe the motion of Quadcopter
Six degrees of freedom
𝒙
𝒚
𝒛
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
28. 𝑀2
𝑀1
𝑀4
𝑀3
𝐹2𝐹3
𝐹1𝐹4
Force and Moment
Resultant force on the quadrotor
𝑭 = 𝑭 𝟏+ 𝑭 𝟐+ 𝑭 𝟑+ 𝑭 𝟒 − 𝑚𝑔𝒌
Resultant moment on the quadrotor
𝑴 = 𝒓 𝟏 × 𝑭 𝟏 + 𝒓 𝟐 × 𝑭 𝟐 + 𝒓 𝟑 × 𝑭 𝟑 + 𝒓 𝟒 × 𝑭 𝟒
+𝑴 𝟏 + 𝑴 𝟐 + 𝑴 𝟑 + 𝑴 𝟒
𝒙
𝒚
𝒛
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
35. Quadcopter Dynamics
𝒙
𝒚
𝑀2
𝑀1𝑀4
𝑀3
𝐹2𝐹3
𝐹1𝐹4
𝑇ℎ𝑟𝑢𝑠𝑡
𝑟𝑝𝑚
𝐹 = 𝑘 𝐹 𝜔2
𝐷𝑟𝑎𝑔 𝑀𝑜𝑚𝑒𝑛𝑡
𝑀 = 𝑘 𝑀 𝜔2
𝑤0 =
1
4
𝑚𝑔
𝑤0
𝜔0
𝑇
Resultant force on the quadrotor
𝑭 = 𝑭 𝟏+ 𝑭 𝟐+ 𝑭 𝟑+ 𝑭 𝟒 − 𝑚𝑔𝒌
Resultant moment on the quadrotor
𝑴 = 𝒓 𝟏 × 𝑭 𝟏 + 𝒓 𝟐 × 𝑭 𝟐
+𝑴 𝟏 + 𝑴 𝟐 + 𝑴 𝟑 + 𝑴 𝟒
+𝒓 𝟑 × 𝑭 𝟑 + 𝒓 𝟒 × 𝑭 𝟒
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
36. 𝑎2
𝑎3
𝑎1
𝑏2
𝑏3
𝑏1
𝑎1 𝑎2 𝑎3
𝐼𝑛𝑒𝑟𝑡𝑖𝑎𝑙 𝐹𝑟𝑎𝑚𝑒
𝑏1 𝑏2 𝑏3
𝐵𝑜𝑑𝑦 𝐹𝑖𝑥𝑒𝑑 𝐹𝑟𝑎𝑚𝑒
𝑭 =
𝑑𝑳 𝑪
𝑩
𝑑𝑡 𝐴
𝑖𝑠 𝑡ℎ𝑒 𝑟𝑎𝑡𝑒 𝑜𝑓 𝑐ℎ𝑎𝑛𝑔𝑒 𝑜𝑓 𝐿𝑖𝑛𝑒𝑎𝑟
𝑚𝑜𝑚𝑒𝑛𝑡𝑢𝑚 𝑖𝑛 𝑖𝑛𝑒𝑟𝑡𝑖𝑎𝑙 𝑓𝑟𝑎𝑚𝑒
𝑴 𝑪
𝑩
𝐴
=
𝑑𝑯 𝑪
𝑩
𝑑𝑡 𝐴
𝑖𝑠 𝑡ℎ𝑒 𝑟𝑎𝑡𝑒 𝑜𝑓 𝑐ℎ𝑎𝑛𝑔𝑒 𝑜𝑓 𝑎𝑛𝑔𝑢𝑙𝑎𝑟
𝑚𝑜𝑚𝑒𝑛𝑡𝑢𝑚 𝑖𝑛 𝑖𝑛𝑒𝑟𝑡𝑖𝑎𝑙 𝑓𝑟𝑎𝑚𝑒
𝑯 𝑪
𝑩
𝐴
= 𝐼 𝐶 𝝎 𝑨
𝑩
𝐼 𝐶
𝝎 𝑨
𝑩
Angular momentum of body B
with respect to A. It is a 3D vector
𝑯 𝑪
𝑩
𝐴
Angular velocity of body B with
respect to A. It is a 3D vector
Inertia tensor with CG of the body
as center
Quadcopter Dynamics
V K Jadon, Professor, Mechanical Engineering, Chitkara
University
𝑑𝑷 𝑪
𝑩
𝑑𝑡 𝐴
=
𝑑𝑷 𝑪
𝑩
𝑑𝑡 𝐵
+ 𝝎 𝑨
𝑩
× 𝑷 𝑪
𝑩
𝑷 𝑖𝑠 𝑎𝑛𝑦 𝑣𝑒𝑐𝑡𝑜𝑟
37. Let 𝑏1, 𝑏2, 𝑏3 are the body fixed frame in
the direction of principal axis of the body
with CG as origin. The angular velocity of
B w.r.t. A
𝝎 𝑨
𝑩
= 𝜔1 𝒃 𝟏 + 𝜔2 𝒃 𝟐 + 𝜔3 𝒃 𝟑
𝑑𝑯 𝑪
𝑩
𝑑𝑡 𝐴
=
𝑑𝑯 𝑪
𝑩
𝑑𝑡 𝐵
+ 𝝎 𝑨
𝑩
× 𝑯 𝑪
𝑩
𝑑𝑯 𝑪
𝑩
𝑑𝑡 𝐵
=
𝐼11 𝐼12 𝐼13
𝐼21 𝐼22 𝐼23
𝐼31 𝐼32 𝐼33
𝝎 𝑨
𝑩
Using the expression 𝑯 𝑪
𝑩
𝐴
= 𝐼 𝐶 𝜔 𝐴
𝐵
= 𝐼11 𝜔1 𝒃 𝟏 + 𝐼22 𝜔2 𝒃 𝟐 + 𝐼33 𝜔3 𝒃 𝟑
As 𝑏1, 𝑏2, 𝑏3 are in the direction of
principal axis 𝐼12=𝐼13=𝐼21=𝐼23=𝐼31=𝐼32=0
𝝎 𝑨
𝑩
× 𝑯 𝑪
𝑩
=
0 −𝜔3 𝜔2
𝜔3 0 −𝜔1
−𝜔2 𝜔1 0
𝐼11 0 0
0 𝐼22 0
0 0 𝐼33
𝜔1
𝜔2
𝜔3
𝑑𝑯 𝑪
𝑩
𝑑𝑡 𝐵
=
𝐼11 0 0
0 𝐼22 0
0 0 𝐼33
𝜔1
𝜔2
𝜔3
𝑑𝑯 𝑪
𝑩
𝑑𝑡 𝐴
=
𝐼11 0 0
0 𝐼22 0
0 0 𝐼33
𝜔1
𝜔2
𝜔3
+
0 −𝜔3 𝜔2
𝜔3 0 −𝜔1
−𝜔2 𝜔1 0
𝐼11 0 0
0 𝐼22 0
0 0 𝐼33
𝜔1
𝜔2
𝜔3
Quadcopter Dynamics
𝑀 𝐶1
𝐵
𝑀 𝐶2
𝐵
𝑀 𝐶3
𝐵
=
𝐼11 0 0
0 𝐼22 0
0 0 𝐼33
𝜔1
𝜔2
𝜔3
+
0 −𝜔3 𝜔2
𝜔3 0 −𝜔1
−𝜔2 𝜔1 0
𝐼11 0 0
0 𝐼22 0
0 0 𝐼33
𝜔1
𝜔2
𝜔3
𝝎 𝑨
𝑩
𝑎𝑛𝑑 𝑯 𝑪
𝑩
both are 3x1 matrix.
To multiply these two quantities, we will use skew symmetric matrix of 𝝎 𝑨
𝑩
.
V K Jadon, Professor, Mechanical Engineering, Chitkara University
38. Thanks
V K Jadon, Professor, Mechanical Engineering, Chitkara
University