ECE 301 Zdybel Lab 5 Worksheet

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Drexel University *

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301

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Electrical Engineering

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Dec 6, 2023

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Jonathan Zdybel ECE 301 - Foundation of Electrical Circuits II 11/05/2023 Lab 5 - RFID Card Transient Response Analysis Introduction This assignment aims to simulate an RFID scanning device that will be used to scan tags, match parts and their known specifications, and then ship the “parts” to the correct destinations. This circuit (Fig 1) will be designed, simulated, and run through Multisim, next, data analysis, specifically on finding the nominal damping coefficient, will be performed through MATLAB. Fig. 1. Implementation of the RFID transceiver and tag in Multisim. The values of L s , L p , and the coil coupling coefficient is entered as properties of the ideal transformer T1. In this case, L s = L p = 1 mH, and the coupling coefficient = 1 In the case of the RLC RFID tag simulation, the shape of the RFID signal envelope is known to be a decaying exponential (Fig 2) this will make it easier to determine the correct coefficient pertaining to each box. Fig 2. Using the equation above, constants A, B, and α must be determined from the initial and final conditions of the data. The value of α can be extracted by using the coordinates of two peaks of the voltage response. This is the purpose of the MATLAB portion of the assignment. After acquiring vast swaths of data, we must comb through and calculate
the decaying coefficient to determine the boxes correctly, thus sending the “parts” to the correct locations. , Simulation Fig. 3. RFID transceiver attached to the subcircuit representing RFID card 1. After creating and running the circuit shown in Fig 3, replacing the RFID cards, and rerunning the experiment, we will have four data files from the oscilloscope. There was a lot of data in these files, but we specifically need the decaying coefficient part of the signal. To determine this, we created the MATLAB file below This code imported the files that were generated by the circuit next, it ran the data through a function which calculated the decaying coefficient by finding the maximum
value along each column. Then multiply coordinates corresponding to the maximum values in the second column of the data. Through the subplot function, we were able to plot the signals and produce Fig 4. Fig 4. Conclusion In conclusion, we can see that nearly all the measured α values have a corresponding nominal α, which is linked to a location. There is a considerable standard deviation of ±65 between some measured values and their expected values; this can be chalked up to human error. RFID number measured α nominal α box destination 1 -463 500 Havertown 2 -379 400 Huston 3 -535 600 Boston 4 -292 300 Chicago
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