FLCS V2.1. AHRS, Autopilot, Gyro Stabilized Gimbals Control, Ground Control Station

Similar documents
GPS-Aided INS Datasheet Rev. 2.7

GPS-Aided INS Datasheet Rev. 3.0

GPS-Aided INS Datasheet Rev. 2.6

3DM-GX4-45 LORD DATASHEET. GPS-Aided Inertial Navigation System (GPS/INS) Product Highlights. Features and Benefits. Applications

Inertial Sensors. Ellipse Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG

Inertial Sensors. Ellipse 2 Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG

Inertial Sensors. Ellipse 2 Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG

3DM -CV5-10 LORD DATASHEET. Inertial Measurement Unit (IMU) Product Highlights. Features and Benefits. Applications. Best in Class Performance

OS3D-FG MINIATURE ATTITUDE & HEADING REFERENCE SYSTEM MINIATURE 3D ORIENTATION SENSOR OS3D-P. Datasheet Rev OS3D-FG Datasheet rev. 2.

Inertial Sensors. Ellipse Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG

The Next Generation Design of Autonomous MAV Flight Control System SmartAP

Classical Control Based Autopilot Design Using PC/104

High Performance Advanced MEMS Industrial & Tactical Grade Inertial Measurement Units

GPS-Aided INS Datasheet Rev. 2.3

OughtToPilot. Project Report of Submission PC128 to 2008 Propeller Design Contest. Jason Edelberg

Inertial Systems. Ekinox Series TACTICAL GRADE MEMS. Motion Sensing & Navigation IMU AHRS MRU INS VG

SERIES VECTORNAV TACTICAL SERIES VN-110 IMU/AHRS VN-210 GNSS/INS VN-310 DUAL GNSS/INS

Module 2: Lecture 4 Flight Control System

MTi 100-series The most accurate and complete MEMS AHRS and GPS/INS

ENHANCEMENTS IN UAV FLIGHT CONTROL AND SENSOR ORIENTATION

TACTICAL SERIES VECTORNAV INDUSTRIAL SERIES. Key Benefits Miniaturized surface mount & Rugged packaging. < 30 grams. Embedded Navigation Solutions

Attitude and Heading Reference Systems

3DM-GX3-45 Theory of Operation

Motion Reference Units

SERIES VECTORNAV INDUSTRIAL SERIES VN-100 IMU/AHRS VN-200 GPS/INS VN-300 DUAL GNSS/INS

Integrated Navigation System

INERTIAL LABS SUBMINIATURE 3D ORIENTATION SENSOR OS3DM

Attack on the drones. Vectors of attack on small unmanned aerial vehicles Oleg Petrovsky / VB2015 Prague

Heterogeneous Control of Small Size Unmanned Aerial Vehicles

SENLUTION Miniature Angular & Heading Reference System The World s Smallest Mini-AHRS

Revisions Revision Date By Changes A 11 Feb 2013 MHA Initial release , Xsens Technologies B.V. All rights reserved. Information in this docum

MTi 100-series The most accurate and complete MEMS AHRS and GPS/INS

Introducing the Quadrotor Flying Robot

Motion Reference Units

CENG 5931 HW 5 Mobile Robotics Due March 5. Sensors for Mobile Robots

BW-IMU200 Serials. Low-cost Inertial Measurement Unit. Technical Manual

CATEGORY 7 - NAVIGATION AND AVIONICS A. SYSTEMS, EQUIPMENT AND COMPONENTS

Robotic Vehicle Design

Hardware in the Loop Simulation for Unmanned Aerial Vehicles

If you want to use an inertial measurement system...

302 VIBROENGINEERING. JOURNAL OF VIBROENGINEERING. MARCH VOLUME 15, ISSUE 1. ISSN

Various levels of Simulation for Slybird MAV using Model Based Design

Master Thesis Presentation Future Electric Vehicle on Lego By Karan Savant. Guide: Dr. Kai Huang

Flight control Set and Kit

Systematical Methods to Counter Drones in Controlled Manners

NovAtel SPAN and Waypoint GNSS + INS Technology

Robotic Vehicle Design

IMU60 Inertial Measurement Unit

HG4930 INERTIAL MEASUREMENT UNIT (IMU) Performance and Environmental Information

Dynamic Angle Estimation

SELF STABILIZING PLATFORM

EL6483: Sensors and Actuators

ADMA. Automotive Dynamic Motion Analyzer with 1000 Hz. ADMA Applications. State of the art: ADMA GPS/Inertial System for vehicle dynamics testing

Inertial Systems. Ekinox 2 Series TACTICAL GRADE MEMS. Motion Sensing & Navigation IMU AHRS MRU INS VG

MICRO AERIAL VEHICLE PRELIMINARY FLIGHT CONTROL SYSTEM

CODEVINTEC. Miniature and accurate IMU, AHRS, INS/GNSS Attitude and Heading Reference Systems

Inertial Systems. Ekinox 2 Series TACTICAL GRADE MEMS. Motion Sensing & Navigation IMU AHRS MRU INS VG

NovAtel s. Performance Analysis October Abstract. SPAN on OEM6. SPAN on OEM6. Enhancements

IMU Platform for Workshops

School of Surveying & Spatial Information Systems, UNSW, Sydney, Australia

University of Florida. Jordan Street Fred Taylor

LORD User Manual 3DM -GX5-25. Attitude and Heading Reference System (AHRS)

Micro-Technology for Positioning, Navigation and Timing

NovAtel SPAN and Waypoint. GNSS + INS Technology

Extended Kalman Filtering

SELF-AWARE UNMANNED AERIAL VEHICLE

Recent Progress in the Development of On-Board Electronics for Micro Air Vehicles

Satellite and Inertial Attitude. A presentation by Dan Monroe and Luke Pfister Advised by Drs. In Soo Ahn and Yufeng Lu

Digiflight II SERIES AUTOPILOTS

Technical Specification

DESIGN CONSTRAINTS ANALYSIS

F-104 Electronic Systems

Cooperative navigation (part II)

Design and Navigation Control of an Advanced Level CANSAT. Mansur ÇELEBİ Aeronautics and Space Technologies Institute Turkish Air Force Academy

MGL Avionics. SP-9 AHRS and magnetometer. User and installation manual

BW-VG525 Serials. High Precision CAN bus Dynamic Inclination Sensor. Technical Manual

User s Guide. SmartAP 2.0 AutoPilot. All rights reserved. 1 SmartAP AutoPilot User s Guide

드론의제어원리. Professor H.J. Park, Dept. of Mechanical System Design, Seoul National University of Science and Technology.

UNSTAR 传感与控制 TEL: FAX: szss AHRS300 Series User s Manual AHRS300CA- (DMU-AHRS) Revision 1.5

A3 Pro INSTRUCTION MANUAL. Oct 25, 2017 Revision IMPORTANT NOTES

NavShoe Pedestrian Inertial Navigation Technology Brief

STUDY OF FIXED WING AIRCRAFT DYNAMICS USING SYSTEM IDENTIFICATION APPROACH

Multi-rotor flight stabilization & Autopilot System Installation & Operation Guide. Guilin Feiyu Electronic Technology Co., Ltd

Digiflight II SERIES AUTOPILOTS

Introduction to Multicopter Design and Control

UAV Flight Control Using Flow Control Actuators

Sensor & Actuator. Bus system and Mission system

Development of Hybrid Flight Simulator with Multi Degree-of-Freedom Robot

GPS System Design and Control Modeling. Chua Shyan Jin, Ronald. Assoc. Prof Gerard Leng. Aeronautical Engineering Group, NUS

TigreSAT 2010 &2011 June Monthly Report

SPEEDBOX Technical Datasheet

FY-41AP Autopilot & OSD System

Technical Specification

AHRS400 Series User s Manual

IPRO 312: Unmanned Aerial Systems

Dedalus autopilot user's manual. Dedalus autopilot. User's manual. Introduction

Products and solutions for Drones

Post-Installation Checkout All GRT EFIS Models

Date: January 16, 2003 Page 1 of 1

Implementation of three axis magnetic control mode for PISAT

Transcription:

AHRS, Autopilot, Gyro Stabilized Gimbals Control, Ground Control Station The platform provides a high performance basis for electromechanical system control. Originally designed for autonomous aerial vehicle control, the platform can also be used for advanced gyro-stabilized platforms, homing control systems, motion control or other sensing and control applications. The platform is an enhanced version of prior FLCS V1.3. The includes: Powerful base CPU - STM32F407 Double DATA Link to the Ground Control Station Hardware based serial boot loader for easy loading of new software High performance U-Blox LEA-7 GPS Module Active on board antenna for increased sensitivity and jamming reduction UART(3), SPI, driver on board for spare port USB port for system service Spare analog and digital I/O ports Eight (8) Isolated and dedicated PWM servo outputs. Servo outputs can control position servo, continues rotation servo or coreless DC motors. Four (4) input capture port connector (PWM), could be connected to any PPM receiver ADC input port 3 analog input signals, resolution 12 bits EEPROM for configuration settings 1

Three status LED s (red, green, blue) 3 axis gyro (angular rate sensor) 3 axis accelerometer 3 axis magnetometer Barometric pressure high resolution sensor with accuracy, 10 cm and fast conversion down to 1 ms Auto Pilot software for rigid or rotary wing UAV Roll, Pitch, Yaw or Pan&Tilt gyro stabilized camera control Ground Control Station Dimensions 6x6 cm, weight 30gm Application areas include, but are not limited to: UAVs (AUVs, UAS, etc) has an excellent GPS module on board (U-Blox series) with both on board and off board antenna capability. Double Data Link provides secure connection to GCS with up to 200 Kb. The four PWM inputs could be used for PPM connection to the platform. Ground Control Station software allows you to modify, download and upload control law parameters in of-line mode. has on board inertial measurement sensors, but is able to work with the external IMU or AHRS unit. The onboard AHRS includes: 3 axis rate sensors to measure angular rate ; 3 axis accelerometers to measure linear acceleration; 3 axis magnetometer to measure magnetic flux (typically used for compass type heading derivation) and barometer. There are two independent loops which recreate the orientation and position of the vehicle: adaptive 9 state filter and Kalman filter. Three stage Cascaded Extended Kalman Filters work independently, each imparting the information that it estimates to the stage below. This three stage filter assumes the least coupling. MEMS GYRO ACCELEROMETERS TWO STATE MAGNETOMETER ONE STATE GPS FOUR STATE Pn, Pe, Vn, Ve 2

Acc X, Y, Gyro(deg/s) X, Y, Pos (GPS) X, Y, Inertial Navigation System with/without GPS Pos X, Y, Velocity of Vehicle Odometer of Vehicle Pos X, Y, Estimated altitude is calculated by adaptive filter with two inputs: baro altitude and GPS altitude, which gives about 40 cm vertical accuracy. The combination of all these capabilities with the on board ARM processing power allows a full attitude heading reference system (AHRS) with GPS position, velocity and time updates all in one tiny package. Usually low cost MEMS filter fails, when the vehicle dynamics are sufficiently large that accelerometer output no longer provides a good estimate of the gravitational direction. This is particularly the case for a fixed wing UAV maneuvering in a limited space and making repeated rapid turns. The platform, like any device designed to utilize GPS and IMU / AHRS data, has the following list of limits: roll pitch yaw RMS static 0.52deg RMS static 0.55deg RMS dynamic 0.608deg RMS dynamic 0.64deg RMS static 0.58deg RMS dynamic 0.67deg Saturation of maximum rate in any axis for any amount of time will result in an incorrect attitude estimate. The longer the saturation duration, the more error will be present in the attitude determination, but good attitude estimator recovers the orientation even with roll angular velocity of 5.5 turns/s. MEMS motion sensor: ultra-stable three-axis digital output gyroscope. The sensor has a full scale of ±250/±500/±2000 dps and is capable of measuring rates with a user-selectable bandwidth. Acceleration sensor has linear acceleration full scales of ±2g / ±4g / ±8g / ±16g Excessive acceleration can include acceleration above the rated levels in continuous application (static / low frequency g s), more elusive vibration (sinusoidal / random) or shock (impulse / random) events that may not show full saturation of the accelerometers in data output, but have affected the sensors internally and corrupted the values. Continued 3

acceleration above the limits or excessive vibration / shock events can corrupt the output acceleration. The new nonlinear complementary filter, augmented by a simple first order model of vehicle dynamics, provides excellent attitude estimates for a fixed wing UAV. The key contribution is to develop a model of the non-inertial acceleration of the airframe that can be used to compensate the accelerometer output to obtain a zero bias estimate of the gravitational direction. The model is based on a simple centripetal force model derived from the airspeed and the rate of turn of the vehicle. However, the angle-of-attack of the airplane is significantly higher during a sharp turn, and this must be modeled to correctly align the compensation terms for the accelerometer output. We address this problem by incorporating a simple first order model of the angle-of-attack dynamics of the airframe driven by the pitch rate measurement obtained from the gyro output. The combined system is simple to implement and achieves excellent performance, given the minimal data that is available. The algorithm is verified on experimental data from a fixed wing air frame. The performance of the algorithm is confirmed by comparison with an attitude estimate obtained from a full INS/GPS. Ground Control Station software removes magnetometers sensitivity to hard and soft iron effects, as well as induced magnetic fields from high current. Saturation of the local magnetic field is easily identified, but lower level influence on the sensor can result in pervasive errors as well. Calibration of the vehicle in the final configuration will help prevent errors introduced by hard iron in the local area. Magnetic field full scale of ±1.3 / ±1.9 / ±2.5 / ±4.0 / ±4.7 / ±5.6 / ±8.1 gauss. Two types of GPS receivers could be used - with external antenna or patch antenna. Horizontal position accuracy - 2.5 m Vertical position accuracy - 3m Velocity accuracy - 0.1m/s Heading accuracy - 0.5 deg Max 4g Interface UART or I 2 C compliant Control Ground Station (CGS) Computer 1: 4

Receives position and orientation data from Autopilot Sends/ receives data and commands to autopilot control law parameters, waypoints, etc. 3D visualization of position, velocity and orientation of UAV in 3D terrain Tactical UAV simulator, full mission builder ACMI Friendly User Interface Control Ground Station (CGS) Computer 2 (Telemetry): Video surveillance with gyro stabilized on-board camera Receives complementary data 5