bin-bingo,github

adc-validation-

Lab ADC Sensor Interface and Motor Drive Integration Testing HL This lab is designed to implement A/D conversion for sensor interface (industrial IoT for example) and stepper motor drive integration test. In this lab, you will integrate ADC sensor input to drive stepper motor: 1. Design and build ADC input circuit with an opential meter to produce output voltage from 0.0 VDC to 3.3 VDC, and connect it to the ADC input pin of your dev board. 2. Write C/C++ program to call ADC driver and to set sampling frequency to 1K SPS (samples per second). Then perform the ADC calibration by computing calibration curve by finding 10 pairs of input-voltage data vs its output digital value, plot these data, and use linear interpolation technique to plot the linear equation to illustrate the input-output relation. 3. Use FFT program provided in the class to validate the ADC data by computing its power spectrum, based on your result to identify if there is any aliasing, and to make sampling rate change accordingly. 4. (Optional) Integrate the ADC input with PWM motor drive program to realize the stepper motor speed control. As the potential meter increases its output voltage the stepper motor will increase its speed, as the input voltage reaches 3.3 VDC limit, the motor reaches the highest speed, as the input voltage reaches 0.0 VDC, the motor should stop. 5. (Optional) add sensor feedback to the embedded system to detect the stepper motor angular speed, you can choose the sensor of your choice, or build one (DIY) if you prefer. 6. Conduct AD conversion data validation by using FFT computation of the ADC data. You can obtain the data by varing the potential meter value to change the analog input to the ADC, then ADC acquire this changes with up to 256 points or more. Once these 256 discrete data points are collected, use FFT to calculate power spectrum of your input data points. Plot the power spectrum of the data

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bookmarklet-hacks-for-school

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