Dr. Shanker Balasubramaniam

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Presentation transcript:

Dr. Shanker Balasubramaniam Global Positioning System Integrated with an Inertial Navigation System Michael Bekkala Michael Blair Michael Carpenter Matthew Guibord Abhinav Parvataneni Dr. Shanker Balasubramaniam

Inertial Navigation System The use of inertial measurements in navigation Measurements come from inertial sensors such as: Accelerometers Gyroscopes Very accurate over short term Errors integrate with time

Physics of Accelerometers/Gyroscopes Measure acceleration in x, y, z directions Types: Mechanical Micro Electromechanical (MEMS) Capacitive Piezoelectric

Mechanical Accelerometers Mass suspended in a case by a pair of springs Acceleration along the axis of the springs displaces the mass. This displacement is proportional to the applied acceleration Picture from “Basic Inertial Navigation” by Sherryl Stoval

Capacitive Accelerometers Sense a change in capacitance with respect to acceleration Diaphragm acts as a mass that undergoes flexure Two fixed plates sandwich diaphragm, creating two capacitors Change in capacitance by altering distance between two plates http://www.sensorland.com/HowPage011.html

Piezoelectric Accelerometers Commonly uses 1 crystal made of quartz Force exerted by acceleration changes electrostatic force Low output signal and high output impedance requires the use of amplifiers Picture from Wikipedia.org

Physics of Accelerometers/Gyroscopes Measure Angular velocity in yaw, pitch, and roll directions Micro Electromechanical (MEMS) Optical 7

Micro Electromechanical Gyroscopes Coriolis effect Vibrating elements measure Coriolis effect (vibrations on sense axis) When rotated, 2nd vibration on the drive axis Angular Velocity Picture from http://www.howyourelectronicswork.com/2008/09/fiber-optic-gyroscopes.html

Optical Gyroscopes Sends out two beams of light Sensor can detect interference in the light beam Very accurate No inherent drift Expensive 9

Navigation Equations Accelerations and angular velocities are measured in the body coordinate frame Need a constant reference for navigation Rotation from body frame to North, East, Down frame gives a reference. Picture from “Accuracy and Improvement of Low Cost INS/GPS for Land Applications” by Shin

Inertial Navigation System System View of INS Equations Diagram from Basic Inertial Navigation by Sherryl Stovall

Navigation Equations The navigation equations can be represented as (Shin, 2001):

Navigation Equations BodyNED

Navigation Equations GPS and INS need to be in the same reference frame for proper measurements. GPS data is in Earth Centered Earth Fixed (ECEF) INS data is in Body frame and has to be translated to the North-East-Down frame BodyNED, ECEFNED Picture from “Accuracy and Improvement of Low Cost INS/GPS for Land Applications” by Shin

Integration of GPS and INS Different integration levels: Loosely Coupled Corrects errors in the IMU and INS Does not correct GPS Tightly Coupled Corrects both INS and GPS errors Kalman filtering integrates both systems to achieve a more accurate overall system

GPS/INS Integration System View of Integration Diagram from http://inderscience.metapress.com/media/59dam5dyxldjpg54uc5v/contributions/8/3/w/2/83w217t06m878447.pdf