252 lines
6.5 KiB
Python
252 lines
6.5 KiB
Python
from PIL.ImageChops import offset
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from siglent_sdg.siglent import SiglentGen
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from asyncio import sleep
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from rigol_dho_lib.rigol import RigolOsc, CHANNEL_COUNT
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import time
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from datetime import datetime
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from rigol_dho_lib import rigol
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from siglent_sdg import siglent
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import numpy as np
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import csv
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from scipy.integrate import cumulative_trapezoid
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import matplotlib.pyplot as plt
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SINE_FREQ = 100e3
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CYCLE_COUNT = 100
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DIV_COUNT = 10
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OSC_CHANNEL_A = 1 # GEN signal
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OSC_CHANNEL_B = 2 # OUT
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GEN_CHANNEL = siglent.ChannelID.CH1
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UPPER_BOUND_DIV = 8
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LOWER_BOUND_DIV = 3
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TARGET_DIV = (UPPER_BOUND_DIV + LOWER_BOUND_DIV) / 2
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PATH = "/home/zychlix/Desktop/pomiary/out"
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R0 = 99.4
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AMPLITUDE = 3
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COUNT = 200
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class ImpedanceAnalyzer:
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def __init__(self, gen_addr: str, osc_addr: str):
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self.gen: siglent.SiglentGen = siglent.SiglentGen(gen_addr)
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self.osc: rigol.RigolOsc = rigol.RigolOsc(osc_addr)
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self.mem_depth = self.osc.getMemoryDepth()
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self.osc.setPoints(self.mem_depth)
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self.amplitude = AMPLITUDE
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self.debug_voltages = []
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self.span_a = 0
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self.span_b = 0
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self.dc = 0
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self.scales = [10] * (CHANNEL_COUNT + 1)
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return
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def getImpedance(self, freq: float):
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setWindowSize(self.osc, CYCLE_COUNT, freq)
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self.gen.channels[GEN_CHANNEL].apply_sine(freq, self.amplitude, self.dc)
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self.gen.channels[GEN_CHANNEL].set_output(True)
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self.osc.run()
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time.sleep(1)
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self.osc.single()
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time.sleep(0.3)
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channel_A_data = self.getScaledWaveform(OSC_CHANNEL_A)
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channel_B_data = self.getScaledWaveform(OSC_CHANNEL_B)
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time_array = self.osc.getChannel(OSC_CHANNEL_A).genTimeArray(channel_A_data)
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v_a = dft(channel_A_data, time_array, freq)
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v_o = dft(channel_B_data, time_array, freq)
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print(f"{freq} V_a {v_a} V_o {v_o}")
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z = R0 * (v_a - v_o) / v_o
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# z = v_a / (v_o / R0)
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self.debug_voltages.append([np.abs(v_a), np.abs(v_o)])
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return z
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def getScaledWaveform(self, ch):
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data = self.osc.getChannel(ch).getWaveform()
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vpp = self.calculateVRMS(data) * 2 * np.sqrt(2)
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if not (LOWER_BOUND_DIV < vpp / self.scales[ch] < UPPER_BOUND_DIV):
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# self.autoscale(ch)
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time.sleep(2) # change back to 1
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self.osc.single()
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data = self.osc.getChannel(ch).getWaveform()
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return data
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def getSweep(self, start: float, stop: float, samples):
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f = np.logspace(start, stop, samples, endpoint=True, base=10.0)
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z_array = []
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for i in f:
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# print(f"Frequency: {f}")
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z_array.append(self.getImpedance(i))
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print(z_array)
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return z_array, f
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def calculateVRMS(self, array):
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return np.sqrt(np.sum(np.pow(array, 2)) / len(array))
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def autoscale(self, channel):
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vpp = 0
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while True:
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# rms = self.osc.getChannel(channel).getVrms()[0]
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self.osc.single()
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data = self.osc.getChannel(channel).getWaveform()
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time.sleep(1)
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rms = self.calculateVRMS(data)
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vpp = rms * 2 * np.sqrt(2)
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if LOWER_BOUND_DIV < vpp / self.scales[channel] < UPPER_BOUND_DIV:
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break
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elif (
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vpp / self.scales[channel] > UPPER_BOUND_DIV
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or self.osc.getChannel(channel).getVrms()[0] > 1000
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):
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self.scales[channel] = self.osc.getChannel(channel).clampVscale(
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self.scales[channel] * 2
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)
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else:
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self.scales[channel] = self.osc.getChannel(channel).clampVscale(
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vpp / TARGET_DIV
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)
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self.osc.getChannel(channel).setVScale(self.scales[channel])
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print(
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f"Autoscaled channel: {channel}, RMS: {rms}, Vpp:{vpp}, Scale:{self.scales[channel]}"
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)
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return
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def PlotBH(self, freq, amplitude):
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setWindowSize(self.osc, 1, freq)
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self.gen.channels[GEN_CHANNEL].apply_sine(freq, amplitude, self.dc)
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self.gen.channels[GEN_CHANNEL].set_output(True)
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self.osc.run()
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time.sleep(5)
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self.osc.single()
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time.sleep(0.3)
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voltage_data = self.getScaledWaveform(OSC_CHANNEL_A)
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current_data = self.getScaledWaveform(OSC_CHANNEL_B)
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time_array = self.osc.getChannel(OSC_CHANNEL_A).genTimeArray(voltage_data)
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v_l = voltage_data # Voltage induced in the inductor
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Offset = np.mean(v_l)
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v_l = v_l - Offset
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B = (
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cumulative_trapezoid(v_l, time_array, initial=0) / 1
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) # Correct to proper values
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H = current_data / R0 # As well as in here
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plt.plot(H, B)
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plt.show()
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def exportZtoCSV(self, z, filename: str):
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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np.savetxt(filename + timestamp + ".csv", z, delimiter=",", fmt="%s")
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def setWindowSize(osc, cycles, frequency):
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period = 1 / frequency * cycles / DIV_COUNT
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osc.setTimescale(period)
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# def dft(data, time_array, freq):
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# carrier = np.exp(-2j * np.pi * freq * time_array)
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# x = carrier * data
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# print(carrier)
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# return sum(x) / len(carrier) * 2
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def dft(data, time_array, freq):
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sin_ref = np.sin(2 * np.pi * freq * time_array)
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cos_ref = np.cos(2 * np.pi * freq * time_array)
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i = 2 * np.mean(data * cos_ref)
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q = 2 * np.mean(data * sin_ref)
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return i - 1j * q
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# uv
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def main():
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# imp = ImpedanceAnalyzer("TCPIP::10.112.1.2::INSTR", "TCPIP::10.112.1.3::INSTR")
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imp = ImpedanceAnalyzer("TCPIP::192.168.1.4::INSTR", "TCPIP::192.168.1.5::INSTR")
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imp.gen.channels[GEN_CHANNEL.CH1].set_output(True)
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# imp.autoscale(1)
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# imp.autoscale(2)
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imp.PlotBH(3e3, AMPLITUDE)
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return 0
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z, f = imp.getSweep(2, 7, COUNT)
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z_real = np.real(z)
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z_imag = np.imag(z)
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fig, ax = plt.subplots(3)
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ax[0].plot(f, z_real, label="Real")
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ax[0].plot(f, z_imag, label="Imag")
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ax[0].set_yscale("linear")
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ax[1].plot(f, np.abs(z), label="Magnitude")
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ax[1].set_yscale("log")
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ax_phase = ax[1].twinx()
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ax_phase.plot(
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f, np.angle(z) / np.pi * 180, label="Phase", color="orange", linestyle="--"
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)
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ax_phase.legend()
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ax[0].set_xscale("log")
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ax[1].set_xscale("log")
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ax[2].plot(f, imp.debug_voltages, label="V_a")
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ax[2].set_xscale("log")
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ax[0].legend()
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ax[1].legend()
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imp.exportZtoCSV(np.array([f, z]).T, PATH)
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plt.show()
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return
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if __name__ == "__main__":
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main()
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