Team Dominate(d?)

The Machine

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.

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.

High-Level Block Diagram

Subsystem specifics: Sensors

Accelerometer LIS3LV02DQ 3 Axis Accelerometer

Cost ~ $40Digital Output- SPI or I2C digital interface+/- 2g acceleration rangeSmall size (21x23mm)3V power

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

Subsystem specifics: Sensors

Tire Temperature Omega OS136

Cost ~ $175 x 2Non-contact IR temperature sensingAccurate reading range 0o-400o FReads 7 measurements per secondAnalog Output 0-5V12V Power

Subsystem specifics: Sensors

Suspension Travel Sharp IR proximity sensor

Cost ~ $12 x 2Measures distance between

fender and fixed mountedpoint of sensor

Analog output 3.1V @ 10cm, 0.4V @ 80cm

High-Level Block Diagram

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.

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

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

Subsystem Specifics: Data Handling

FPGA Prototype Board I2C Data Inputs RS232 Output Multiplexing ability for sensor selection Soft Core processor emulation

High-Level Block Diagram

Subsystem Specifics: Data Transmission

RF downlink Xbee-Pro wireless modem

RS-232 serial input for downlink communicationUSB interface to computer base station2.4 GHz, 115200 bps100 mW transmit power1 mile range line of sight12 channels

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

Parts Cost Analysis

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

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

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

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

High-Level Block Diagram

Questions??