Inertial Navigation System Overview – Mechanization Equation

Slides:



Advertisements
Similar presentations
MAE 5410 – Astrodynamics Lecture 5 Orbit in Space Coordinate Frames and Time.
Advertisements

ARO309 - Astronautics and Spacecraft Design Winter 2014 Try Lam CalPoly Pomona Aerospace Engineering.
The Ellipsoid Faculty of Applied Engineering and Urban Planning
Navigation Fundamentals
Kinematics of Rigid Bodies
3.3. Introduction to Real-time Physics III
Chris Hall Aerospace and Ocean Engineering
Dynamics of Rotational Motion
Chapter 10 Angular momentum Angular momentum of a particle 1. Definition Consider a particle of mass m and linear momentum at a position relative.
Chapter 11 Angular Momentum.
Chapter 11 Angular Momentum.
Dr. Shanker Balasubramaniam
ME Robotics Dynamics of Robot Manipulators Purpose: This chapter introduces the dynamics of mechanisms. A robot can be treated as a set of linked.
Chapter 8 Coordinate Systems.
Ch. 2: Rigid Body Motions and Homogeneous Transforms
Ch. 3: Forward and Inverse Kinematics
Colorado Center for Astrodynamics Research The University of Colorado 1 Computation of Azimuth and Elevation George H. Born These slides describe how to.
Ch. 4: Velocity Kinematics
3-D Geometry.
Ch. 3: Forward and Inverse Kinematics
Introduction to Robotics Lecture II Alfred Bruckstein Yaniv Altshuler.
Mechanics of Rigid Bodies
MAE 242 Dynamics – Section I Dr. Kostas Sierros.
Ch. 6 FORCE AND MOTION  II 6.1 Newton’s Law in Non-inertial Reference Frames 6.1.1Inertial force in linear acceleration reference frame From the view.
Chapter 11 Angular Momentum.
Coordinate Systems in Geodesy By K.V.Ramana Murty, O. S.
Rigid Body: Rotational and Translational Motion; Rolling without Slipping 8.01 W11D1 Today’s Reading Assignment Young and Freedman: 10.3.
Computer Vision Group Prof. Daniel Cremers Autonomous Navigation for Flying Robots Lecture 3.2: Sensors Jürgen Sturm Technische Universität München.
Chapter 11 Angular Momentum. The Vector Product There are instances where the product of two vectors is another vector Earlier we saw where the product.
Dynamics. Chapter 1 Introduction to Dynamics What is Dynamics? Dynamics is the study of systems in which the motion of the object is changing (accelerating)
Faculty of Applied Engineering and Urban Planning Civil Engineering Department Geographic Information Systems Spatial Referencing Lecture 4 Week 6 1 st.
Union College Mechanical Engineering ESC020: Rigid Body Mechanics1 Kinetics of Particles  Free Body Diagrams  Newton’s Laws  Euler’s Laws.
Course 12 Calibration. 1.Introduction In theoretic discussions, we have assumed: Camera is located at the origin of coordinate system of scene.
Class 19: 3D Cartesian Coordinate Computations GISC March 2009.
Sérgio Ronaldo Barros dos Santos (ITA-Brazil)
Rotational Dynamics Just as the description of rotary motion is analogous to translational motion, the causes of angular motion are analogous to the causes.
Effect of Structure Flexibility on Attitude Dynamics of Modernizated Microsatellite.
Karman filter and attitude estimation Lin Zhong ELEC424, Fall 2010.
INS: Inertial Navigation Systems An overview of 4 sensors.
1 Honors Physics 1 Class 15 Fall 2013 Rolling motion Noninertial reference frames Fictitious forces.
SNARF: Theory and Practice, and Implications Thomas Herring Department of Earth Atmospheric and Planetary Sciences, MIT
Method determinate angle of rotation of an IMU application for UAV Trinh Dinh Quan Southern TaiWan University.
ADCS Review – Attitude Determination Prof. Der-Ming Ma, Ph.D. Dept. of Aerospace Engineering Tamkang University.
Chapter 11 Angular Momentum. Angular momentum plays a key role in rotational dynamics. There is a principle of conservation of angular momentum.  In.
Kinematics. The function of a robot is to manipulate objects in its workspace. To manipulate objects means to cause them to move in a desired way (as.
EE 495 Modern Navigation Systems Navigation Mathematics Friday, January 9 EE 495 Modern Navigation Systems Slide 1 of 14.
KINEMATICS OF PARTICLES
EE 495 Modern Navigation Systems
Objective: To develop a fully-autonomous control system for the Q-ball based on onboard IMU/Magnetometer/Ultrasound sensory information Summer Internship.
1.Introduction about camera auto balancing system of UAV 2.Proposal auto balancing platform 3.Step by step solving rotation (attitude) of an IMU O Outline.
EE 495 Modern Navigation Systems Inertial Navigation in the ECEF Frame Friday, Feb 20 EE 495 Modern Navigation Systems Slide 1 of 10.
Chapter 11 Angular Momentum. The Vector Product and Torque The torque vector lies in a direction perpendicular to the plane formed by the position vector.
THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES
Sect. 4.9: Rate of Change of a Vector Use the concept of an infinitesimal rotation to describe the time dependence of rigid body motion. An arbitrary.
End effector End effector - the last coordinate system of figure Located in joint N. But usually, we want to specify it in base coordinates. 1.
Day 48, Tuesday, 3 November, 2015 Inertial Navigation Systems The magical, mysterious, always everywhere box The ball in the trunk Dead Reckoning: Direction.
Learning from the Past, Looking to the Future James R. (Jim) Beaty, PhD - NASA Langley Research Center Vehicle Analysis Branch, Systems Analysis & Concepts.
Spatcial Description & Transformation
Goals for Chapter 10 To learn what is meant by torque
Kinetics of Particles: Newton’s Second Law
EE 495 Modern Navigation Systems
Graduate School of Electrical Engineering
Mobile Robot Kinematics
Inertial Measurement Unit (IMU) Basics
Introduction.
Orbit in Space Coordinate Frames and Time
Kletskous Magnetic Stabilization
Rotational Kinematics
Dynamics of Rotational Motion
Physics 319 Classical Mechanics
Presentation transcript:

Inertial Navigation System Overview – Mechanization Equation Huy-Tien, Bui 裴輝進 Department of Mechanical Engineering National Cheng Kung University Tainan, Taiwan Fed 28, 2013

Outline Inertial Navigation System Overview

Inertial Navigation System Overview Inertial Navigation System (INS) provides position, velocity and heading information. A INS system is that in which a current state is evaluated by the relative increment from the previous known state. INS is based on measurements obtained from an Inertial Measurement Unit (IMU). A typical IMU consists of three accelerometers and three gyroscopes mounted in orthogonal triads.

Inertial Navigation System Overview The measurements from these accelerometers and gyroscopes are combined using mechanization equations. The principle of inertial navigation comes from Newton’s 2nd law of motion which states that ‘Acceleration is proportional to the resultant force and is in the same directions as this force’. This external force produces an acceleration which is observed by the accelerometers.

Inertial Navigation System Overview This acceleration, when integrated, gives the velocity which if integrated again gives the change in position relative to the initial point. Through appropriate initialization, INS is capable of continuous determination of absolute values of position, velocity and attitude. However, in an actual system, these integrations are accomplished after appropriate processing of the data which involves rotating the data in the desired frame. This drives the need for gyroscopes in the system.

Inertial Navigation System Overview Integration of angular measurements from gyroscopes provides change in attitude of the system, which when combined by initial attitude provides the new attitude of the system. Attitude is defined by rotations along the three axes which are called roll, pitch and azimuth or yaw. In this work, roll is defined as rotations along the y axis, pitch is rotations along the x axis and azimuth (or yaw) is rotation along the z axis.

Inertial Navigation System Overview Based on the attitude parameters, the rotational relation is established between the IMU body frame and the navigation frame, which is used for rotating the accelerations. Errors in gyroscope measurements will therefore lead to errors in acceleration and finally position. For example, a gyroscope bias introduces a quadratic error in velocity and a cubic error in position. Therefore, the quality of an IMU and thus an INS is often judged by the quality of gyros contained in the sensor system.

Inertial Navigation System Overview Coordinate Frames There are four coordinate frames which are generally used when considering inertial navigation systems. Inertial Frame (i-frame) i-frame is considered to be non-rotating and non-accelerating frame relative to far-off galaxies. The origin of the inertial frame is arbitrary, and the coordinate axis may point in any three mutually perpendicular directions.

Inertial Navigation System Overview But for practical purposes, an inertial frame is defined as follows Origin: Earth’s center of mass Zi –axis: parallel to spin axis of the earth Xi –axis: pointing towards the mean vernal equinox Yi –axis: orthogonal to X and Z completing the right hand system

Inertial Navigation System Overview Earth Centered Earth Fixed Frame (ECEF or e- frame) is defined as follows: Origin: earth’s center of mass Ze –axis: parallel to mean spin axis of the earth Xe –axis: pointing towards the meridian of GreenWich Ye –axis: orthogonal to X and Z completing the right hand system.

Inertial Navigation System Overview Local Level Frame (LLF or l-frame) is defined as follows: Origin: coinciding with the center of the navigation system Zl –axis: orthogonal to reference ellipsoid pointing Up Xl –axis: pointing towards to geodetic East Yl –axis: pointing towards to geodetic North This forms a right hand East-North-Up (ENU) frame.

Inertial Navigation System Overview ECEF, LLEF and ENU frames with the latitude () and longitude () angles

Inertial Navigation System Overview Body Frame (b-frame) is an orthogonal frame that represents the orientation of the body to which it is connected. The body frame is assumed to be aligned with the pedestrian frame in such way so that: Origin: center of the IMU or be body comprising multiple IMUs Xb –axis: pointing towards the right to the direction of motion Yb –axis: pointing towards the front (in the direction of motion) Zb–axis: pointing up to complete the orthogonal right hand system

Inertial Navigation System Overview The data integration is performed in one of above frames. This frame is called a navigation frame. The above mentioned coordinate frames can be transformed from one frame to another using rotation matrices or quaternions.

Inertial Navigation System Overview INS Mechanization Equations Mechanization equations are set of equations which are used to convert the specific force (fb) and angular velocity (b) measurements obtained from an IMU into position, velocity and attitude information. Users can select any coordinate frame as the navigation frame depending on the application requirements. Such a choice mainly depends on the system designer and/or system requirements.

Inertial Navigation System Overview Mechanization equations in the ECEF frame is given by

Inertial Navigation System Overview INS mechanization in ECEF frame block diagram

Inertial Navigation System Overview The mechanization equation can be solved by the following basic steps Sensor error correction Attitude update Transformation of specific force to navigation frame Velocity and position calculation

Inertial Navigation System Overview Sensor error correction The raw measurements obtained from a low cost IMU are generally corrupted by errors such as constant bias, bias drift, scale factor errors and axis non-orthogonal. The values for these errors are estimated from lab-calibration.

Inertial Navigation System Overview One the errors such as bias and scale factor have been estimated, the gyroscopes and accelerometers measurement can be corrected

Inertial Navigation System Overview Attitude update The body angular rates with respect to ECEF frame