Created
February 15, 2023 14:38
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import numpy as np | |
import matplotlib.pyplot as plt | |
from scipy import constants as const | |
import nidaqmx | |
# Creating the actuation signal | |
max_displacement = 250*1e-9 | |
f_displacement = 10000 | |
fs = 1e6 | |
# fs = 100e3 | |
tmax = 1e-3 | |
tmax = 10e-3 | |
N = int(tmax*fs) | |
t = np.linspace(0,tmax,N) | |
A = max_displacement/2 | |
x = A+A*np.cos(2*np.pi*t*f_displacement-np.pi) | |
V_actuation = linearization_function(x) | |
# data = V | |
N_samples = len(x) | |
print("max voltage:",max(V_actuation), "samples",N_samples) | |
fig,ax = plt.subplots(2,1, sharex=True, figsize=(5,1)) | |
plt.sca(ax[0]) | |
plt.plot(t*1e3,x/1e-9) | |
plt.ylabel("x(t) [m]") | |
plt.sca(ax[1]) | |
plt.plot(t*1e3,V_actuation) | |
plt.ylabel("V(t) [V]") | |
plt.xlabel("t [ms]") | |
data = V_actuation | |
physical_channel = "Dev1/ai0" | |
chan_output = "Dev1/ao0" | |
term_output_trigger = "/Dev1/ao/StartTrigger" | |
term_output_trigger = "/Dev1/PFI12" | |
chan_input = "Dev1/ai0" | |
term_input_trigger = "/Dev1/PFI12" | |
term_trigger = "/Dev1/PFI12" | |
# chan_input_trigger = "/Dev1/ao/StartTrigger" | |
# chan_input_trigger = chan_output_trigger | |
# chan_trigger = "Dev1/PFI0" | |
sample_mode_input = ni.constants.AcquisitionType.FINITE | |
sample_mode_output = ni.constants.AcquisitionType.CONTINUOUS | |
fs_output = 1e6 | |
fs_input = 100e3 | |
read_samples = 1e3 | |
read_samples = int(read_samples) | |
with ni.Task() as read_task, ni.Task() as write_task, ni.Task() as trigger_task: | |
# set channels | |
read_task.ai_channels.add_ai_voltage_chan(chan_input) | |
write_task.ao_channels.add_ao_voltage_chan(chan_output) | |
# trigger_task.do_channels.add_do_chan(chan_trigger) | |
# Set sampling frequency and mode | |
write_task.timing.cfg_samp_clk_timing(fs_output, sample_mode=sample_mode_output) | |
read_task.timing.cfg_samp_clk_timing(fs_input, sample_mode=sample_mode_input, samps_per_chan=read_samples) | |
# set trigger of output to start reading | |
# read_task.triggers.start_trigger.cfg_dig_edge_start_trig(term_input_trigger, trigger_edge=ni.constants.Edge.RISING) | |
write_task.triggers.start_trigger.cfg_dig_edge_start_trig(term_trigger, trigger_edge=ni.constants.Edge.RISING) | |
read_task.triggers.start_trigger.cfg_dig_edge_start_trig(write_task.triggers.start_trigger.term) | |
# write_task.triggers.start_trigger.cfg_dig_edge_start_trig(read_task.triggers.start_trigger.term) | |
# write_task.triggers.start_trigger.cfg_dig_edge_start_trig(chan_output_trigger, trigger_edge=ni.constants.Edge.RISING) | |
# Write waveform data to output buffer | |
write_task.write(data) | |
sample_clk_rate = read_task.timing.samp_clk_rate | |
dt = 1/sample_clk_rate | |
print(sample_clk_rate, dt) | |
read_task.start() | |
write_task.start() | |
# tasks are armed, waiting for trigger | |
print("tasks armed and waiting for trigger") | |
# Read data | |
data = read_task.read(number_of_samples_per_channel=ni.constants.READ_ALL_AVAILABLE) | |
# for i in range(10): | |
# # read the data | |
# data = read_task.read(number_of_samples_per_channel=read_samples) | |
# print(data) | |
print(read_task.export_signals) | |
# read_task.stop() | |
# write_task.wait_until_done() | |
# write_task.stop() | |
plt.figure(figsize=(10,2)) | |
t = np.arange(len(data))*dt | |
plt.plot(t,data, '-') | |
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