estimate the transfer function of a circuit with adalm1000 -凯发k8网页登录

introduction

in this example you have an r-c circuit consisting of a 1 kω resistor in series with a 0.1 μf capacitor. the r-c circuit is attached to the adalm1000 device with channel a of the device providing the voltage stimulus consisting of a chirp signal. the output of channel a is connected to the resistor, and the ground is connected to the capacitor. channel b of the device is used to measure the voltage across the capacitor. the following circuit diagram shows the measurement setup.

you can use the stimulus and the measured waveforms to estimate the transfer function of the r-c circuit, and compare the measured response to the theoretical response of the r-c circuit.

discover devices connected to your system

daqlist("adi")

ans=1×4 table
    deviceid              description                 model              deviceinfo       
    ________    _______________________________    ___________    ________________________
     "smu1"     "analog devices inc. adalm1000"    "adalm1000"    [1×1 daq.adi.deviceinfo]

create a dataacquisition for the adalm1000 device

adidaq = daq("adi")

adidaq = 
dataacquisition using analog devices inc. hardware:
                     running: 0
                        rate: 100000
           numscansavailable: 0
            numscansacquired: 0
              numscansqueued: 0
    numscansoutputbyhardware: 0
                   ratelimit: []
show channels
show properties and methods

add voltage source and measurement channels

the adalm1000 device is capable of sourcing and measuring voltage simultaneously on separate channels. set up the device in this mode.

to source voltage, add an analog output channel with device id smu1 and channel id a, and set its measurement type to voltage.

addoutput(adidaq,'smu1','a','voltage');

to measure voltage, add an analog input channel with device id smu1 and channel id b, and set its measurement type to voltage.

addinput(adidaq,'smu1','b','voltage');

confirm the configuration of the channels.

adidaq.channels

ans=1×2 object
    index    type    device    channel      measurement type             range            name  
    _____    ____    ______    _______    _____________________    _________________    ________
      1      "ao"    "smu1"      "a"      "voltage (singleend)"    "0 to  5.0 volts"    "smu1_a"
      2      "ai"    "smu1"      "b"      "voltage (singleend)"    "0 to  5.0 volts"    "smu1_b"

define and visualize a chirp waveform for stimulating the circuit

use a chirp waveform of 1 volt amplitude, ranging in frequency from 20 hz to 20 khz for stimulating the circuit. the chirp occurs in a period of 1 second.

fs = adidaq.rate;
t = 0:1/fs:1;
excitationsignal = chirp(t,20,1,20e3,'linear');

add a dc offset of 2 v to ensure that the output voltage of the device is always above 0 v.

offset = 2;
excitationsignal = excitationsignal   offset;

visualize the stimulus signal in the time-domain.

figure(1)
plot(t, excitationsignal,'blue')
xlim([0 0.15])
xlabel('time (s)')
ylabel('magnitude (v)')
title('time domain plot of stimulus signal')

visualize the stimulus signal in the frequency domain.

figure(2)
spectrogram(excitationsignal,1024,1000,1024,fs,'yaxis')
title('frequency domain view of stimulus signal')

stimulate the circuit and simultaneously measure the frequency response

generate device output and measure measure the voltage across the capacitor at the same time on the other channel.

measuredtable = readwrite(adidaq,excitationsignal');
measuredsignal = measuredtable{:,1};

plot the stimulus and the measured signals

figure(1)
hold on;
plot(t,measuredsignal,'red');
xlim([0 0.15])
ylim([1 3])
title('time domain plot of stimulus and measured signal')
legend('excitation signal','measured signal')

figure(3)
spectrogram(measuredsignal,1024,1000,1024,fs,'yaxis')
title('frequency domain view of the the measured signal')

calculate the transfer function of the circuit

compare the measured signal and the stimulus signal to calculate the transfer function of the r-c circuit, and plot the magnitude response.

remove dc offset before processing.

measuredsignal = measuredsignal - mean(measuredsignal);
excitationsignal = excitationsignal - offset;
[tfxy,freq] = tfestimate(excitationsignal,measuredsignal,[],[],[],fs);
mag = abs(tfxy);

compare the estimated transfer function to the theoretical magnitude response.

r = 1000;    % resistance (ohms)
c = 0.1e-6;  % capacitance (farads)
tfmagtheory = abs(1./(1   (1i*2*pi*freq*c*r)));
figure(4);
semilogy(freq,tfmagtheory,freq,mag);
xlim([0 20e3])
xlabel('frequency (hz)')
ylim([0.05 1.1])
ylabel('magnitude')
grid on
legend('theoretical frequency response','measured frequency response')
title({'magnitude response of the theoretical'; 'and estimated transfer functions'});

clear the dataacquisition and figures

clear adidaq
close all