SlideShare a Scribd company logo
5
Most read
7
Most read
11
Most read
INS:
Inertial Navigation Systems
An overview of 4 sensors
What is an INS?
 Position (dead reckoning)
 Orientation (roll, pitch, yaw)
 Velocities
 Accelerations
Sampling of INS Applications
Image of an
autonomous
vehicle
Image of a self-
balancing
personal vehicle
Accelerometers
Image of an airbag
Accelerometers
Proof
Mass
d1
d2
Fixed
fingers
Moving
finger
Suspension
Springs
 F = ma
(Newton’s 2nd
Law)
 F = kx
(Hooke’s Law)
Accelerometers
Proof
Mass
d1
d2
Fixed
fingers
Moving
finger
Suspension
Springs
 C = ε0A/d
(parallel-plate capacitor)
 ε0 = permitivity constant
Voltage  Capacitance  Surface Area
and distance  Spring displacement 
Force  Acceleration
Integrate to get velocity and displacement
 Q = CV
Gyroscopes
Image of a bicycle
Gyroscopes
How does it maintain angular orientation?
Disk on an axis Disk stationary Disk rotating
Red pen indicates applied force
Gyroscopes – Precession
As green force is applied to
axis of rotation, red points
will attempt to move in blue
directions
These points rotate and
continue to want to move in the
same direction causing
precession
Rotating around red axis, apply a moment around axis coming out of paper on red axis
Gyroscopes – Gimbaled
 Rotor Axle wants to keep pointing in the same
direction
 Mounting in a set of gimbals allows us to measure
the rotation of the body
Gyroscopes – MEMS
 Coriolis effect – “fictitious
force” that acts upon a freely
moving object as observed from a
rotating frame of reference
Gyroscopes – MEMS
 Comb drive fingers can be actuated by applying
voltage
 Coriolis effect induces motion based on rotation
 Capacitive sensors (similar to accelerometers)
detect the magnitude of this effect and therefore the
rotation
Tuning Fork Gyroscope
Vibrating Ring Gyroscope
Fiber Optic Gyroscope (FOG)
 = attitude rate, 1 = laser light
source, 2 = beamsplitter, 3 =
wound optical fiber, 4 =
photosensor.
DSP 4000
turret, antenna, and optical stabilization systems
GPS – Global Positioning System
 Constellation 27 satellites in orbit
 Originally developed by U.S. military
 Accuracy ~ 10 m
 3D Trilateration
GPS – 2D Trilateration
A
B
C
You are here
50 mi
75 mi
30 mi
GPS – 3D Trilateration
 Location of at least three satellites
(typically 4 or more)
 Distance between receiver and
each of those satellites
 Psudo-random code is sent via
radio waves from satellite and
receiver
 Since speed of radio signal is
known, the lag time determines
distance
GPS – Improvements
 Some sources of error
 Earth’s atmosphere slows down signal
 Radio signal can bounce off large objects
 Misreporting of satellite location
 Differential GPS (DGPS)
 Station with known location calculates receiver’s inaccuracy
 Broadcasts signal correction information
 Accuracy ~ 10 m
GPS – Improvements
 WAAS (Wide Area Augmentation System)
 Similar to DGPS
 Geosynchronous Earth Orbiting satellites
instead of land based stations
 Accuracy ~ 3 m
Image of a GPS device
Encoders
Encoders – Incremental
LED Photoemitter
Photodetector
Encoder disk
Encoders - Incremental
Encoders - Incremental
 Quadrature (resolution enhancing)
Encoders - Absolute
4 Bit Example
 More expensive
 Resolution = 360° / 2N
where N is number of tracks
Pros and Cons
Pros Cons
Accelerometer
Inexpensive,
small
Integration drift
error
Gyroscope Large selection
Integration drift
error
GPS No drift Data at 1 Hz
Encoders Inexpensive Slip

More Related Content

PPTX
INERTIAL NAVVIGATION SYSTEM.pptx
PPTX
INS BY M3.pptx and ins ppt as inertial navigation
PPT
Introduction to Navigation Systems
PDF
Better motion control using accelerometer/gyroscope sensor fusion
PPTX
INS-Inertial Navigation System
PDF
Handout 2 of gnav - Inertial Navigation.pdf
PPTX
Chapters2_to_6_Detailed_INS_ GPS.pptx
PPT
INERTIAL NAVVIGATION SYSTEM.pptx
INS BY M3.pptx and ins ppt as inertial navigation
Introduction to Navigation Systems
Better motion control using accelerometer/gyroscope sensor fusion
INS-Inertial Navigation System
Handout 2 of gnav - Inertial Navigation.pdf
Chapters2_to_6_Detailed_INS_ GPS.pptx

Similar to INS3_ Inertial Navigation Systems _ 4 sensors.ppt (20)

PPTX
IMU General Introduction
PPT
Training on gyroscopes working principle
PPTX
vdocument.in_gyroscope-presentation.pptx
PDF
Gyroscopes
PPTX
Build Your Own VR Display Course - SIGGRAPH 2017: Part 3
PPT
11 gyros
PPT
Inertial navigaton systems11
PPSX
Sensor's inside
PPTX
Use of mems based motion sensors in embedded
PDF
Dancing in the dark
PDF
Apresentação IMU (2).pdf
PDF
Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...
PPTX
Working with Windows Phone sensors, gps and maps
PPTX
Gyros Strain_Gauges INSTRUMENTATION & MEASUREMENT
PDF
Generic sensors for the Web
PDF
Sensors and location based services
PPTX
Evaluation of dynamics | Gyroscope, Accelerometer, Inertia Measuring Unit and...
PPTX
Accelerometer and gyroscope
PDF
Imu fusion algorithm for pose estimation (mCube invited talk) 2018 1003-1
PDF
Gyroscope_sensors
IMU General Introduction
Training on gyroscopes working principle
vdocument.in_gyroscope-presentation.pptx
Gyroscopes
Build Your Own VR Display Course - SIGGRAPH 2017: Part 3
11 gyros
Inertial navigaton systems11
Sensor's inside
Use of mems based motion sensors in embedded
Dancing in the dark
Apresentação IMU (2).pdf
Dsp kit implementation of Kalman filter based sensor fused algorithm for atti...
Working with Windows Phone sensors, gps and maps
Gyros Strain_Gauges INSTRUMENTATION & MEASUREMENT
Generic sensors for the Web
Sensors and location based services
Evaluation of dynamics | Gyroscope, Accelerometer, Inertia Measuring Unit and...
Accelerometer and gyroscope
Imu fusion algorithm for pose estimation (mCube invited talk) 2018 1003-1
Gyroscope_sensors
Ad

More from MazinAlsaedi1 (20)

PPTX
Mechatronics - Ch-4-th- unit_valves.pptx
PPTX
Mechatronics - Pneumatics _ unit -5.pptx
PPT
Linear and Nonlinear Multivariable_GUI_ControlSysCAD_Part_2.ppt
PPT
Linear and Nonlinear Multivariable_GUI_ControlSysCAD_Part_1.ppt
PPT
SIMOTION D410 Single Axis Industrial Motion Controller _ SIEMENS .ppt
PPT
Steer-by-Wire _ Implications for Vehicle Handling and Safety.ppt
PPT
Introduction to Neural Networks and Fuzzy Logic.ppt
PPT
Fluid Power System Electrical Control_.ppt
PPTX
Theory of Machine course _ Principles _ I.pptx
PPT
Electronic Throttle Control _ 17397474.ppt
PPT
Robust Multi-objective Iterative Learning Control 13553323.ppt
PPT
Tire Pressure Monitoring TPMS _ 885221.ppt
PPT
fuzzy logic controllers and PD controllers.ppt
PPT
Mechanical Sensors _ Force _ acceleration_ chapter 6.ppt
PPTX
Introduction to Neural Networks and Fuzzy Logicnnfl-1002.pptx
PPT
Linear and Nonlinear Multivariable GUI_ControlSysCAD_Part_2.ppt
PPT
Linear and Nonlinear Multivariable Feedback Control_GUI_ControlSysCAD_Part_1.ppt
PPT
planindynenvs_meam620_v8_Maxim Likhachev.ppt
PPT
introtomotionplanI_meam620_v9_Maxim Likhachev.ppt
PPT
ComputerVision4_Howie Choset_Renata Melamud.ppt
Mechatronics - Ch-4-th- unit_valves.pptx
Mechatronics - Pneumatics _ unit -5.pptx
Linear and Nonlinear Multivariable_GUI_ControlSysCAD_Part_2.ppt
Linear and Nonlinear Multivariable_GUI_ControlSysCAD_Part_1.ppt
SIMOTION D410 Single Axis Industrial Motion Controller _ SIEMENS .ppt
Steer-by-Wire _ Implications for Vehicle Handling and Safety.ppt
Introduction to Neural Networks and Fuzzy Logic.ppt
Fluid Power System Electrical Control_.ppt
Theory of Machine course _ Principles _ I.pptx
Electronic Throttle Control _ 17397474.ppt
Robust Multi-objective Iterative Learning Control 13553323.ppt
Tire Pressure Monitoring TPMS _ 885221.ppt
fuzzy logic controllers and PD controllers.ppt
Mechanical Sensors _ Force _ acceleration_ chapter 6.ppt
Introduction to Neural Networks and Fuzzy Logicnnfl-1002.pptx
Linear and Nonlinear Multivariable GUI_ControlSysCAD_Part_2.ppt
Linear and Nonlinear Multivariable Feedback Control_GUI_ControlSysCAD_Part_1.ppt
planindynenvs_meam620_v8_Maxim Likhachev.ppt
introtomotionplanI_meam620_v9_Maxim Likhachev.ppt
ComputerVision4_Howie Choset_Renata Melamud.ppt
Ad

Recently uploaded (20)

PPTX
Geodesy 1.pptx...............................................
PDF
PPT on Performance Review to get promotions
PDF
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
PPTX
Artificial Intelligence
PPTX
CH1 Production IntroductoryConcepts.pptx
PDF
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
PDF
PRIZ Academy - 9 Windows Thinking Where to Invest Today to Win Tomorrow.pdf
PDF
composite construction of structures.pdf
PPTX
Internet of Things (IOT) - A guide to understanding
PDF
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
PPTX
OOP with Java - Java Introduction (Basics)
PPTX
web development for engineering and engineering
PPTX
Foundation to blockchain - A guide to Blockchain Tech
PPTX
Lecture Notes Electrical Wiring System Components
PPT
Introduction, IoT Design Methodology, Case Study on IoT System for Weather Mo...
PPTX
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
PPTX
bas. eng. economics group 4 presentation 1.pptx
PPTX
Current and future trends in Computer Vision.pptx
PPTX
Sustainable Sites - Green Building Construction
PDF
SM_6th-Sem__Cse_Internet-of-Things.pdf IOT
Geodesy 1.pptx...............................................
PPT on Performance Review to get promotions
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
Artificial Intelligence
CH1 Production IntroductoryConcepts.pptx
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
PRIZ Academy - 9 Windows Thinking Where to Invest Today to Win Tomorrow.pdf
composite construction of structures.pdf
Internet of Things (IOT) - A guide to understanding
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
OOP with Java - Java Introduction (Basics)
web development for engineering and engineering
Foundation to blockchain - A guide to Blockchain Tech
Lecture Notes Electrical Wiring System Components
Introduction, IoT Design Methodology, Case Study on IoT System for Weather Mo...
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
bas. eng. economics group 4 presentation 1.pptx
Current and future trends in Computer Vision.pptx
Sustainable Sites - Green Building Construction
SM_6th-Sem__Cse_Internet-of-Things.pdf IOT

INS3_ Inertial Navigation Systems _ 4 sensors.ppt

  • 1. INS: Inertial Navigation Systems An overview of 4 sensors
  • 2. What is an INS?  Position (dead reckoning)  Orientation (roll, pitch, yaw)  Velocities  Accelerations
  • 3. Sampling of INS Applications Image of an autonomous vehicle Image of a self- balancing personal vehicle
  • 6. Accelerometers Proof Mass d1 d2 Fixed fingers Moving finger Suspension Springs  C = ε0A/d (parallel-plate capacitor)  ε0 = permitivity constant Voltage  Capacitance  Surface Area and distance  Spring displacement  Force  Acceleration Integrate to get velocity and displacement  Q = CV
  • 8. Gyroscopes How does it maintain angular orientation? Disk on an axis Disk stationary Disk rotating Red pen indicates applied force
  • 9. Gyroscopes – Precession As green force is applied to axis of rotation, red points will attempt to move in blue directions These points rotate and continue to want to move in the same direction causing precession Rotating around red axis, apply a moment around axis coming out of paper on red axis
  • 10. Gyroscopes – Gimbaled  Rotor Axle wants to keep pointing in the same direction  Mounting in a set of gimbals allows us to measure the rotation of the body
  • 11. Gyroscopes – MEMS  Coriolis effect – “fictitious force” that acts upon a freely moving object as observed from a rotating frame of reference
  • 12. Gyroscopes – MEMS  Comb drive fingers can be actuated by applying voltage  Coriolis effect induces motion based on rotation  Capacitive sensors (similar to accelerometers) detect the magnitude of this effect and therefore the rotation Tuning Fork Gyroscope Vibrating Ring Gyroscope
  • 13. Fiber Optic Gyroscope (FOG)  = attitude rate, 1 = laser light source, 2 = beamsplitter, 3 = wound optical fiber, 4 = photosensor. DSP 4000 turret, antenna, and optical stabilization systems
  • 14. GPS – Global Positioning System  Constellation 27 satellites in orbit  Originally developed by U.S. military  Accuracy ~ 10 m  3D Trilateration
  • 15. GPS – 2D Trilateration A B C You are here 50 mi 75 mi 30 mi
  • 16. GPS – 3D Trilateration  Location of at least three satellites (typically 4 or more)  Distance between receiver and each of those satellites  Psudo-random code is sent via radio waves from satellite and receiver  Since speed of radio signal is known, the lag time determines distance
  • 17. GPS – Improvements  Some sources of error  Earth’s atmosphere slows down signal  Radio signal can bounce off large objects  Misreporting of satellite location  Differential GPS (DGPS)  Station with known location calculates receiver’s inaccuracy  Broadcasts signal correction information  Accuracy ~ 10 m
  • 18. GPS – Improvements  WAAS (Wide Area Augmentation System)  Similar to DGPS  Geosynchronous Earth Orbiting satellites instead of land based stations  Accuracy ~ 3 m Image of a GPS device
  • 20. Encoders – Incremental LED Photoemitter Photodetector Encoder disk
  • 22. Encoders - Incremental  Quadrature (resolution enhancing)
  • 23. Encoders - Absolute 4 Bit Example  More expensive  Resolution = 360° / 2N where N is number of tracks
  • 24. Pros and Cons Pros Cons Accelerometer Inexpensive, small Integration drift error Gyroscope Large selection Integration drift error GPS No drift Data at 1 Hz Encoders Inexpensive Slip