Sensors Matthew Spencer 2016-02-25 E80 Lecture. You’ll Fly Sensors on Your Rockets Also, you need them in your work

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Presentation transcript:

Sensors Matthew Spencer E80 Lecture

You’ll Fly Sensors on Your Rockets Also, you need them in your work

Motivating Question What kind of altimeters are suitable for our big flight? How are we going to answer that question?

Isn’t Sensors a Super Broad Topic?

A Disciplined Way to Consider Sensors Static Performance Dynamic Performance Interface and Readout Physics Sanity Checks

Static Performance Summarized in a Graph Reported Quantity (e.g. : voltage) Sensed Quantity (e.g. : temperature) Offset Full Scale Range Max Input Max Output Linearity

Digitized Sensor Output has Same Properties Max Input Linearity

Calibration Can Fix Offset and Non- Linearity Fixes non-linearity and offset. Doesn’t fix noise. Can only fix noise with more power / less loss. Difficult to calibrate in production settings: time is money Be careful of time-variance. Fancy sensors have online calibration.

Resolution Varies w/ Input if Very Non- linear Big input swing  small output Susceptible to output noise Higher gain here

Dynamic Performance is Described by E59

Sensor Interfaces – Analog Use a buffer if Req is big Apply gain or offset if Voc is small or centered at an odd voltage Probably need to digitize the analog output to record it

Sensor Interfaces – Digital Voltage Levels Serial vs. Parallel If Serial, what is the protocol?

Physics Sanity Check Make sure you’re measuring what you think you’re measuring Check magnitude and phenomenology

Apply Sensors Checklist to the Theodolite

Apply the Sensors Checklist to an Altimeter Information pulled from datasheet Asking: “Would this work for the final flight?”

Physics Check: Get Altitude from Air Pressure Need a model of air pressure and a model of our flight By Cmglee - Own work, CC BY-SA 3.0, x.php?curid=

Find Model of Troposphere in 2015 Lecture Be sure to use all resources at your disposal so we can help you! Be sure to attribute everything you use. (Thanks, Prof. Spjut!) (Originally from 1976 Standard Atmosphere Model)

Find Arreaux Flight Models Apogee is 1 mile AGL At 15s Velocity Is ~330 ft/s (~100 m/s) Launch at 3000 ft. MSL

Static Properties P_launch=90kPa, P_apogee = 74kPa Add -13% to +7% for Barometric pressure  range is 64kPa – 104kPa Accuracy +/- 1.5% Vfs and range is 4.5V representing 100kPa +/ kPa, +/- 157m. Resolution OK? Depends on needs. Result is non-linear b/c of exponential pressure model. Calibrate.

Dynamics Response time (10%-90% rise time) is 1.2ms  tau = 0.46ms Velocity is 330 ft/s = 0.33 ft/ms = 10cm/ms Tau=1 and DC gain = 1 in this example

Interface – Analog output Need to measure Zout, datasheet says little. (How?) Expect to get 675 mV of swing on top of 200 mV offset. (Fixable?)

Interface – Digitizing With the Data Logger 16 analog channels: 16 bit, 2.2 kOhm Zin, sampled at 12.5 kHz 3.3 V supply and full scale input range. Saves to on board SD card.

Interface – Data Loggers and Digital Sensors CLOCK 2 CLOCK 1 Connect Synchronizing Signal

Interface – Be Careful of Your Power System Vreg Voltages cannot be negative! Battery has ~250 mA-hrs energy 2.5V + Separate batteries for high power subsystems

Final Project Ideas Science Measurements (measure stuff around the rocket) Atmosphere: Particles, chemicals, flow rate, humidity, material phases, charge Radiation: UV, IR, any optical frequencies, gamma rays, etc. Multimedia: sounds, images, video Engineering Measurements (measure stuff about the rocket) Flight: rotation, acceleration, vibration, displacement, orientation, flow rate Electrical: power consumption, voltages, capacitances, inductances Don’t forget that you often need a way to get airflow over sensors

Where do I find More Sensors? Digikey demonstration Last year’s lecture has a deeper dive into a few datasheets. MQ-2 Methane gas sensor (requires heater) GP2Y1010AF Particle sensor (requires pulse signal, could roll your own) A few humidity sensors (capacitive sensors require cool readout circuits!)