1. Team Dominate(d?)
The Machine

2. Synopsis
Motorcycles are complex systems, containing many variables beyond what is displayed by standard gauges or rider intuition.
Understanding of these variables becomes more important in racing situations, where slight changes can significantly alter outcomes.
Our goal is to digitally characterize some of these variables, transmit information to an acquisition system, and then interpret them in order to improve motorcycle development and riding techniques.

3. Defining un-measured variables
The variables we decided to characterize are:
Acceleration
Deceleration
Lateral Acceleration
Tire temperature
Lean angle
Suspension travel
Although engine speed and velocity are already measured by standard gauges, we decided to also transmit these data values for correlation with the other acquired data.

4. High-Level Block Diagram

5. Subsystem specifics: Sensors
Accelerometer
LIS3LV02DQ 3 Axis Accelerometer
Cost ~ $40
Digital Output- SPI or I2C digital interface
+/- 2g acceleration range
Small size (21x23mm)
3V power

6. Subsystem specifics: Sensors
Preferred Accelerometer/Inertial Measurement
IMU 5
Cost ~ $110
Combines 3 axis accelerometer and angle sensor (gyros)
Senses Roll and Pitch (Lean angle & wheelie)
Senses Acceleration in X, Y, Z axes
+/- 3g acceleration range
Small size (20x23mm)
Analog Output from IMU
3V Power

7. Subsystem specifics: Sensors
Tire Temperature
Omega OS136
Cost ~ $175 x 2
Non-contact IR temperature sensing
Accurate reading range 0o-400o F
Reads 7 measurements per second
Analog Output 0-5V
12V Power

8. Subsystem specifics: Sensors
Suspension Travel
Sharp IR proximity sensor
Cost ~ $12 x 2
Measures distance between fender and fixed mounted point of sensor
Analog output
10cm, 80cm

9. High-Level Block Diagram

10. Subsystem specifics: Sensors
Engine Speed/Velocity/Throttle Position/Gear Indicator
OEM sensors/data decoders – <$100
Engine Speed/Velocity Sensor Output
Pulse signal - frequencies proportional to speed
Throttle Sensor Output
Analog output linear with increasing throttle
Gear Indicator
A known engine speed and velocity can be used to calculate the current gear selection
Not accurate while clutch is disengaged
Only inaccurate during small fractions of time in race situations.

11. Subsystem Specifics: Sensor Communication
Analog to Digital Converter
Digital signal transmitted over I2C
Signal received and processed by Data Handling Unit
Transmit digital signal for superior quality over analog
Data latches to hold values until next reading from sensor

12. Power Power will be derived from the 12 volt DC motorcycle battery
Centrally located step down converters will adjust power to 5 and 3 volt supply.
A power filter and step down converters will be located on a circuit board near the Data handler

13. Subsystem Specifics: Data Handling
FPGA Prototype Board
I2C Data Inputs
RS232 Output
Multiplexing ability for sensor selection
Soft Core processor emulation

14. High-Level Block Diagram

15. Subsystem Specifics: Data Transmission
RF downlink
Xbee-Pro wireless modem
RS-232 serial input for downlink communication
USB interface to computer base station
2.4 GHz, bps
100 mW transmit power
1 mile range line of sight
12 channels

16. Software We will use Visual C++ for the computer base station
Advising from Professor John Hauser (Motorcycle Dynamics Control)
Verilog code for bus controller and communication with the data handler

17. Parts Cost Analysis Accelerometer/ Angle Sensor $110
Tire Temperature $175 x 2
FPGA Board $300
Suspension Travel $100
RF Transmission $110 x 2
Speed Sensor $20
PCB boards $33 x 5
A>D>I2C chip $3.50 x 7
Total $1290
Domination $Priceless

18. Division of Labor
Accelerometer /Bank Angle Sensor (Mr. Keogh and Mr. Pearse)
Acquire data
Transmit I2C
Determine appropriate range for data
Data Handler (Mr.Olson and Mr. OConnell)
Read I2C data
Process data
Transmit via RS232
Software (Mr.Schreiner)
Read data from USB input
Convert data to standard units
Display data on computer

19. Risks Extreme temperature from exhaust and engine
Engine and road vibration
Physical damage from debris and crash
Intricate Dynamics of motion too complex for sensors or analysis

20. Contingency Plans Limit number of sensors for time
Spare budget for damaged part replacement
Dynamics analysis advising from Professor John Hauser (motorcycle dynamics expert)
Heat shielding of components
Rubber shock and vibration damping mounts

22. High-Level Block Diagram

23. Questions??