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 ~ $40 Digital Output- SPI or I2C digital interface +/- 2g acceleration range Small 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 2 Non-contact IR temperature sensing Accurate reading range 0o-400o F Reads 7 measurements per second Analog Output 0-5V 12V Power

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 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 communication USB interface to computer base station 2.4 GHz, 115200 bps 100 mW transmit power 1 mile range line of sight 12 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 $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

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??