Amorphous Wire Localization Final Presentation May 10 2001

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Amorphous Wire Localization Final Presentation May 10, 2001 Matthew Foy Richard Kao Matthias Ziegler

Amorphous Wire Localization Final Presentation May 10, 2001 Matthew Foy Richard Kao Matthias Ziegler

Hardware Project Overview • Objective – To create a system in which we can

Hardware Project Overview • Objective – To create a system in which we can detect the amorphous wire to the highest accuracy that will allow us to test our software • Deliverables – A system that is based on 15 sensors that returns a single location of the wire

Software Overview • Expected Deliverables – Input amplitude and phase for each sensor –

Software Overview • Expected Deliverables – Input amplitude and phase for each sensor – Compute distance from the wire to 3 separate sensor arrays – Determine the location and approximate orientation of the wire in 3 space

Hardware – Software Integration Hardware Software Magnetic Field Data Analysis Wire Sensors Computer Oscilloscope

Hardware – Software Integration Hardware Software Magnetic Field Data Analysis Wire Sensors Computer Oscilloscope

Setup Amorphous Wire 30 coils of wire Sensor (250 coils) Magnetic Field of 7

Setup Amorphous Wire 30 coils of wire Sensor (250 coils) Magnetic Field of 7 -12 Gauss Oscilloscope

Proposed Schedule • Hardware/software integration • Test with one sensor • Amplify signal of

Proposed Schedule • Hardware/software integration • Test with one sensor • Amplify signal of oscilloscope and reduce noise with 1 signal • Integrate computer boards to accept 15 signals • Perfect creation of signals 4/23 4/25 4/27 5/2 5/7

Results • This is the signal received with minimal amplification • This is a

Results • This is the signal received with minimal amplification • This is a snapshot of the spike in the sine wave

Wire Properties (Length vs. Diameter) • From the graph on the right, we see

Wire Properties (Length vs. Diameter) • From the graph on the right, we see that a wire with diameter of 50 microns can have its amplitude detected with a length of wire as small as. 7 inches

Wire Properties (Length vs. Diameter) (cont. ) • For 125 micron wire, we can

Wire Properties (Length vs. Diameter) (cont. ) • For 125 micron wire, we can only measure amplitude at a length of 2 inches or greater • This was one of the problems we ran into earlier

Amplitude Measurements • Using amorphous wire of diameter 50 microns at a distance of

Amplitude Measurements • Using amorphous wire of diameter 50 microns at a distance of 2. 75 inches from the sensor, we measured the change in amplitude while the wire is rotated at 3. 6 degree increments about the central axis

Amplitude Measurements (cont. ) • Using the same diameter wire placed 4 inches from

Amplitude Measurements (cont. ) • Using the same diameter wire placed 4 inches from the sensor, we once again measured the change in amplitude with the same increments • As you can see, the further from the sensor, the less amplitude detected

Phase Change Measurements • As the wire is rotated, we see the phase shift

Phase Change Measurements • As the wire is rotated, we see the phase shift stay within the range of 5 -9 ms • We measure phase shift to identify the different diameter wires

Phase Change Measurements (cont. ) • Phase shift once again stays within the range

Phase Change Measurements (cont. ) • Phase shift once again stays within the range of 5 -9 ms • Regardless of how far the wire is from the sensor, phase shift stays within the range, allowing us to identify the specific diameter wire

Software Overview • Review of software at checkpoint • Software written since the checkpoint

Software Overview • Review of software at checkpoint • Software written since the checkpoint – Calculation of rotation of wire – Noise influences on distance, position and rotation calculations • Software left to write – Calculation of tilt of wire – Real-time position and orientation calculations – Simultaneous handling of multiple wires

Software at Checkpoint • Sensor Array Class – Front and Rear Sensors – Triplet

Software at Checkpoint • Sensor Array Class – Front and Rear Sensors – Triplet Sensors – Sensor Coefficient K • Sensor Class – Amplitude and Phase • Main Function – 3 Sensor Arrays – Distance and Localization computations

Software Since Checkpoint • Wire Orientation • Effects of Noise – Distance – Position

Software Since Checkpoint • Wire Orientation • Effects of Noise – Distance – Position – Orientation – Minimizing the effects of noise

Wire Orientation • Rotation about the y-axis y - central axis wire sensor z

Wire Orientation • Rotation about the y-axis y - central axis wire sensor z - tilt axis x • Fit model to data rotation about central axis (xz plane)

Effects of Noise on Distance Calculations

Effects of Noise on Distance Calculations

Noise and Distance Cont. . .

Noise and Distance Cont. . .

Effects of Noise on Position Calculations

Effects of Noise on Position Calculations

Noise and Position Cont. . .

Noise and Position Cont. . .

Noise, Distance, and Position • Noise voltage of a few (<3) millivolts can lead

Noise, Distance, and Position • Noise voltage of a few (<3) millivolts can lead to errors in the calculated distance of up to 10%, or 1. 5 in • This leads to errors in the calculated position of up to 15%, or 2 in • We need to keep the noise to less than 0. 3 mv for accurate results

Effects of Noise on Wire Orientation

Effects of Noise on Wire Orientation

Noise and Orientation Cont. . .

Noise and Orientation Cont. . .

Noise and Orientation Cont. . . • The calculation of the wire’s orientation is

Noise and Orientation Cont. . . • The calculation of the wire’s orientation is greatly affected by even a small amount of noise • We need to keep the noise to around 0. 1 mv in order to accurately calculate the wire’s orientation

Reducing the Effects of Noise • Input the 3 peak points from one phase

Reducing the Effects of Noise • Input the 3 peak points from one phase of the sine wave and sum them for one amplitude • This process is repeated for 60 sine waves (1 sec) • Total sum is the signal amplitude for the sensor

Voltage Averaging

Voltage Averaging

Revised Schedule • Test with one sensor • Amplify signal of oscilloscope and reduce

Revised Schedule • Test with one sensor • Amplify signal of oscilloscope and reduce noise with 1 signal • Received data for orientation calculations 4/25 4/27 5/7

Problems • Obtaining the analog input board from the vendor so we can complete

Problems • Obtaining the analog input board from the vendor so we can complete realtime localization of the wire • Required better amplification equipment, so we used IBM’s high-end amplification equipment

Division of Labor • Hardware – Matthias and Rich • Software – Matt •

Division of Labor • Hardware – Matthias and Rich • Software – Matt • Final Integration – Rich, Matthias, and Matt • Group Lead: Matthias

What We Learned • For ALL external dependencies, have backups so they do not

What We Learned • For ALL external dependencies, have backups so they do not become the barrier in the progress of the project • Ensure quality of all equipment is within an acceptable range • Magnetic Theory and Fields