1. DESIGN REVIEW Autonomous Targeting Vehicle (ATV) Daniel Barrett Sebastian Hening Sandunmalee Abeyratne Anthony Myers

2. Autonomous Wheeled Vehicle –Navigate, track, and follow targets –Wireless communication to enter waypoints Atom board with Wi-Fi, connection via remote desktop Uses GPS to navigate and determine current location Avoid obstacles using range finders Wheel encoders, compass, accelerometer –Improved precision movements –“ Dead reckoning” Webcam Feature –Used to focus on targets –In absence of GPS, users will click a target that the robot will navigate to 2 PROJECT OVERVIEW

3. PROJECT SPECIFIC SUCCESS CRITERIA 1.An ability to determine location within 10 meters based on GPS data. 2.An ability to control the speed and direction of the motors on each side in order to move forward, backward, turn left, and turn right. 3.An ability to visually track and follow a target via webcam. 4.An ability to detect obstacles, and determine their distance with a sonic range finder. 5.An ability to determine changes in position using wheel encoders, an accelerometer, and a compass. 3

4. MAJOR COMPONENT SELECTION (PAGE 1/4) 4 Freescale MC9S12C32 Microcontroller [x2] –Plenty of onboard memory (64K SRAM, 32K Flash) –Rationale for using two microcontrollers: More energy efficient compared to a single, larger microcontroller Cost efficient (We already own four of them, development boards) Two pulse accumulators are necessary for wheel encoders 6 PWM channels are utilized 20-Channel EM-406A GPS –Built in antenna –10m positional accuracy / 5m with WAAS –Used with GPS evaluation board (USB Connection) Ultrasonic Range Finder (Maxsonar-XL EZ3) –0 to 765cm range with 1cm resolution –Operates between 3.3V and 5VDC –Easy data retrieval using ATD conversion GPS GPS Evaluation Board Ultrasonic Range Finder

5. MAJOR COMPONENT SELECTION (PAGE 2/4) 5 Sharp Infrared Proximity Sensors (Long Range) –5ft range at a supply voltage of 5VDC –Easy data retrieval using ATD conversion Triple-Axis Accelerometer (BMA180) –4-wire SPI communication –Accurate to.244 mg (g = gravitational acceleration) –Operates at 3.3VDC (Logic level converter needed) Triple-Axis Magnetometer (HMC5843) –I 2 C communication interface –7 milli-gauss resolution –Low current draw –Operates at 3.3VDC (Logic level converter needed) IR Rangefinder Accelerometer Magnetometer

6. MAJOR COMPONENT SELECTION (PAGE 3/4) 6 L298 Motor Driver Dual H-Bridge (Solarbotics) –Up to 4A total output current All four motors use only 1.1A under full load –Includes 5V low-dropout regulator –Schottky EMF-protection diodes Gear Head Motor (Lynxmotion) –Operates at 12VDC –Rotates at up to 200 RPM –30:1 Gear Reduction Ratio Quadrature Motor Encoder (Lynxmotion) –100 cycles per revolution –400 quadrature counts per revolution H-Bridge Gear Head Motor Motor Encoder

7. MAJOR COMPONENT SELECTION (PAGE 4/4) 7 Off Road Robot Tires –4.75in diameter, 2.375in width –Made of durable rubber –Rims made of sturdy nylon material A4WD1 Chassis (Lynxmotion) –Premade, little assembly required –Aluminum structural components for durability –Laser-cut Lexan panels –Pre-constructed motor mount holes 12V NiMH Battery Pack –Made of ten SC4200mAh NiMH batteries –Can deliver up to 40A discharging current –Twice the run-time of a NiCd power pack Wheels Robot Chassis Kit Battery Pack

8. PACKAGING DESIGN 8 Designed with a small footprint –Allows stealthy navigation in tight spaces –Adequate height for greater range of visibility –Durable ABS plastic body to conceal electronics Movement –Four large all-terrain wheels –Four high-RPM (200 RPM) motors Sensors –Range finders mounted on front and top –Others concealed in body –Webcam mounted on top

9. BLOCK DIAGRAM 9

10. THEORY OF OPERATION (PAGE 1/7) (5V Power Supply) 10

11. THEORY OF OPERATION (PAGE 2/7) (3.3V Power Supply) 11

12. THEORY OF OPERATION (PAGE 3/7) (H-Bridge) 12

13. THEORY OF OPERATION (PAGE 4/7) (Battery Charging Circuit) 13 5V Regulator

14. THEORY OF OPERATION (PAGE 5/7) (Microcontroller Connections [µC 1]) 14

15. THEORY OF OPERATION (PAGE 6/7) (Microcontroller Connections [µC 2]) 15

16. THEORY OF OPERATION (PAGE 7/7) (Logic Level Translator) 16

17. PCB LAYOUT (PAGE 1/6) (Design Considerations) 17 Large 7” x 7 7/8 ” board mounted on chassis Analog compass and accelerometer far from motors Clearance between h-bridge circuitry and microcontrollers Reduce clutter –Wire-to-Board connectors on the outer edge Allows for clean, easy connection between PCB and peripherals

18. PCB LAYOUT (PAGE 2/6) (Design Considerations) Traces –Power and ground: 40 mils –Logic Signals: 15 mils Mounting holes –Securely attach PCB to robot chassis –Coincides with mounting holes on the atom board 18

19. PCB LAYOUT (PAGE 3/6) (Microcontrollers) 19

20. PCB LAYOUT (PAGE 4/6) (H-Bridge) 20

21. PCB LAYOUT (PAGE 5/6) (Battery Charging Circuitry) 21

22. PCB LAYOUT (PAGE 6/6) 22

23. SOFTWARE DESIGN 23 Microcontrollers (Embedded C) - Responsible for polling sensors and controlling servos and motors - Software is broken up into functional blocks ATD, PWM, SPI, SCI, RTI, TIM, GPIO –Functions are organized according to the specific peripheral used Initialization Routines for each block One header file for all function declarations, type defines, macros Atom Board (C++) -Responsible for sensor fusion and navigation -Broken into functional blocks Kalman filter, Control system, GPS parser, Pathfinder, Object tracking, User interface

24. SOFTWARE DESIGN –Block Diagram 24 Wheel Motor Control Sensor Polling Servo Control Sensor Fusion Object Tracking PID control system Simulation Pathfinder Build obstacle map Measurements Estimated Obstacle positions Motor inputs Desired Trajectory Graph structure Estimated Position Motor inputs User Interface Choose Target position GPS parser Position Choose Destination Display Video, Map, and Position Video Microcontrollers Atom Board Kalman Filter

25. SOFTWARE DESIGN –Block Diagram 25 Wheel Motor Control Sensor Polling Servo Control Sensor Fusion Object Tracking PID control system Simulation Pathfinder Build obstacle map Measurements Estimated Obstacle positions Motor inputs Desired Trajectory Graph structure Estimated Position Motor inputs User Interface Choose Target position GPS parser Position Choose Destination Display Video, Map, and Position Video Microcontrollers Atom Board Kalman Filter Camera Tracking

26. SOFTWARE DESIGN –Block Diagram 26 Wheel Motor Control Sensor Polling Servo Control Sensor Fusion Object Tracking PID control system Simulation Pathfinder Build obstacle map Measurements Estimated Obstacle positions Motor inputs Desired Trajectory Graph structure Estimated Position Motor inputs User Interface Choose Target Choose Target position Target position GPS parser Position Choose Destination Display Video, Map, and Position Video Microcontrollers Atom Board Kalman Filter Navigation

27. SOFTWARE DESIGN –Block Diagram 27 Wheel Motor Control Sensor Polling Servo Control Sensor Fusion Object Tracking PID control system Simulation Pathfinder Build obstacle map Measurements Estimated Obstacle positions Motor inputs Desired Trajectory Graph structure Estimated Position Motor inputs User Interface Choose Target Choose Target position Target position GPS parser Position Choose Destination Display Video, Map, and Position Video Microcontrollers Atom Board Kalman Filter Collect Data

28. SOFTWARE DESIGN –Block Diagram 28 Wheel Motor Control Sensor Polling Servo Control Sensor Fusion Object Tracking PID control system Simulation Pathfinder Build obstacle map Measurements Estimated Obstacle positions Motor inputs Desired Trajectory Graph structure Estimated Position Motor inputs User Interface Choose Target Choose Target position Target position GPS parser Position Choose Destination Display Video, Map, and Position Video Microcontrollers Atom Board Kalman Filter Estimate State of Robot and Obstacles

29. SOFTWARE DESIGN –Block Diagram 29 Wheel Motor Control Sensor Polling Servo Control Sensor Fusion Object Tracking PID control system Simulation Pathfinder Build obstacle map Measurements Estimated Obstacle positions Motor inputs Desired Trajectory Graph structure Estimated Position Motor inputs User Interface Choose Target Choose Target position Target position GPS parser Position Choose Destination Display Video, Map, and Position Video Microcontrollers Atom Board Kalman Filter Planning Acting on Plan

30. SOFTWARE DESIGN – To be completed 30 Wheel Motor Control Sensor Polling Servo Control Sensor Fusion Object Tracking PID control system Simulation Pathfinder Build obstacle map Measurements Estimated Obstacle positions Motor inputs Desired Trajectory Graph structure Estimated Position Motor inputs User Interface Choose Target position GPS parser Position Choose Destination Display Video, Map, and Position Video Microcontrollers Atom Board I2C Compass Kalman Filter

31. PROJECT STATUS 31 Things accomplished –Communication with range finders, wheel encoders, accelerometer, GPS –Motor control based on commands through SCI –Camera tracking fully implemented –Sensor fusion, navigation, and control system tested in simulation Things to be completed –Communication with Compass ( ~ 1 week) –Communication between micros and Atom board (~ 1 week) –PCB layout testing and verification (~ 4 weeks) –Mount PCB, Atom board and sensors in/on robot (~ 2 weeks) Estimated projected completion –By the end of the semester

32. PROJECT TIMELINE 32 Week #Milestone Week 8 - Continue PCB design process - Verify functionality of compass & battery management system Week 9 - Work on communication between Atom board and microcontroller - Design motor control algorithm - Produce Gerber files for PCB fabrication Week 10 - Continue working on inter-system communication - Packaging design Weeks 11-12 - Populate PCB one component at a time, test functionality Week 13 - Improve algorithms as necessary to achieve desired functionality Week 14 - Continue testing and verifying overall functionality of robot Week 15 - Finalize design and packaging Week 16 - Demonstrate final PSSC’s

33. Questions? 33