Merge branch 'feature/40-fir-filter' into dev
This commit is contained in:
commit
d468e52dea
@ -1,12 +1,11 @@
|
|||||||
#include <error-mem-viewer/crc.h>
|
#include <error-mem-viewer/crc.h>
|
||||||
|
|
||||||
uint32_t do_crc(uint32_t init, uint32_t data)
|
static uint32_t do_crc(uint32_t init, uint32_t data)
|
||||||
{
|
{
|
||||||
uint32_t crc = init;
|
uint32_t crc = init;
|
||||||
uint32_t cnt;
|
uint32_t cnt;
|
||||||
|
|
||||||
for(cnt=0; cnt < 32; cnt++)
|
for (cnt=0; cnt < 32; cnt++) {
|
||||||
{
|
|
||||||
crc = ((int32_t)(crc ^ data))<0 ? (crc << 1) ^ 0x04C11DB7 : crc << 1;
|
crc = ((int32_t)(crc ^ data))<0 ? (crc << 1) ^ 0x04C11DB7 : crc << 1;
|
||||||
data <<=1;
|
data <<=1;
|
||||||
}
|
}
|
||||||
|
|||||||
@ -422,6 +422,13 @@
|
|||||||
"print(calc_temp(2000))\n",
|
"print(calc_temp(2000))\n",
|
||||||
"print(calc_temp(2000+adc_min_res))"
|
"print(calc_temp(2000+adc_min_res))"
|
||||||
]
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": []
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
@ -440,7 +447,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.9.1"
|
"version": "3.9.6"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
475
measurement-data/FilterAnalysis.ipynb
Normal file
475
measurement-data/FilterAnalysis.ipynb
Normal file
@ -0,0 +1,475 @@
|
|||||||
|
{
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "7c270395",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"import numpy as np\n",
|
||||||
|
"from scipy import signal\n",
|
||||||
|
"import matplotlib.pyplot as plt\n",
|
||||||
|
"import pandas as pd\n",
|
||||||
|
"from scipy.fft import fft, fftfreq"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "b09956cf",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "348b4663",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## Filter comparison"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "eef8fc32",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"alpha = 0.01\n",
|
||||||
|
"mavg_b = [alpha]\n",
|
||||||
|
"mavg_a = [1, -(1-alpha)]"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "06cc8d91",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# Sinc filter\n",
|
||||||
|
"b_sinc = [\n",
|
||||||
|
" 0.013166773445594984,\n",
|
||||||
|
" 0.015510026576574206,\n",
|
||||||
|
" 0.017943762856303655,\n",
|
||||||
|
" 0.020436419999452039,\n",
|
||||||
|
" 0.022953654956480787,\n",
|
||||||
|
" 0.025459023223972144,\n",
|
||||||
|
" 0.027914730737546672,\n",
|
||||||
|
" 0.030282439536854874,\n",
|
||||||
|
" 0.032524106530629059,\n",
|
||||||
|
" 0.034602833419516990,\n",
|
||||||
|
" 0.036483705201686277,\n",
|
||||||
|
" 0.038134594717421900,\n",
|
||||||
|
" 0.039526911389630152,\n",
|
||||||
|
" 0.040636273671486346,\n",
|
||||||
|
" 0.041443086683647982,\n",
|
||||||
|
" 0.041933009054862178,\n",
|
||||||
|
" 0.042097295996679322,\n",
|
||||||
|
" 0.041933009054862178,\n",
|
||||||
|
" 0.041443086683647982,\n",
|
||||||
|
" 0.040636273671486346,\n",
|
||||||
|
" 0.039526911389630152,\n",
|
||||||
|
" 0.038134594717421900,\n",
|
||||||
|
" 0.036483705201686277,\n",
|
||||||
|
" 0.034602833419516990,\n",
|
||||||
|
" 0.032524106530629059,\n",
|
||||||
|
" 0.030282439536854874,\n",
|
||||||
|
" 0.027914730737546672,\n",
|
||||||
|
" 0.025459023223972144,\n",
|
||||||
|
" 0.022953654956480787,\n",
|
||||||
|
" 0.020436419999452039,\n",
|
||||||
|
" 0.017943762856303655,\n",
|
||||||
|
" 0.015510026576574206,\n",
|
||||||
|
" 0.013166773445594984,\n",
|
||||||
|
"]\n",
|
||||||
|
"b_sinc = [\n",
|
||||||
|
" -0.000005301919181359,\n",
|
||||||
|
" -0.000020372384569462,\n",
|
||||||
|
" -0.000043393375246200,\n",
|
||||||
|
" -0.000071643508460196,\n",
|
||||||
|
" -0.000101272447699964,\n",
|
||||||
|
" -0.000127045709202358,\n",
|
||||||
|
" -0.000142084479366378,\n",
|
||||||
|
" -0.000137630058679112,\n",
|
||||||
|
" -0.000102865422361326,\n",
|
||||||
|
" -0.000024826753571648,\n",
|
||||||
|
" 0.000111564545505229,\n",
|
||||||
|
" 0.000323323938002668,\n",
|
||||||
|
" 0.000629062120588115,\n",
|
||||||
|
" 0.001048471626315150,\n",
|
||||||
|
" 0.001601644955843253,\n",
|
||||||
|
" 0.002308239744151386,\n",
|
||||||
|
" 0.003186518744650963,\n",
|
||||||
|
" 0.004252303894058680,\n",
|
||||||
|
" 0.005517893567100900,\n",
|
||||||
|
" 0.006990999568786174,\n",
|
||||||
|
" 0.008673764799041549,\n",
|
||||||
|
" 0.010561923390649710,\n",
|
||||||
|
" 0.012644162210467481,\n",
|
||||||
|
" 0.014901735907231652,\n",
|
||||||
|
" 0.017308377414832196,\n",
|
||||||
|
" 0.019830532444994709,\n",
|
||||||
|
" 0.022427930710902887,\n",
|
||||||
|
" 0.025054489273884574,\n",
|
||||||
|
" 0.027659525485854094,\n",
|
||||||
|
" 0.030189239563895277,\n",
|
||||||
|
" 0.032588410933658420,\n",
|
||||||
|
" 0.034802239101869442,\n",
|
||||||
|
" 0.036778249821351520,\n",
|
||||||
|
" 0.038468181363671021,\n",
|
||||||
|
" 0.039829764251821352,\n",
|
||||||
|
" 0.040828311002284692,\n",
|
||||||
|
" 0.041438040179150003,\n",
|
||||||
|
" 0.041643070995549647,\n",
|
||||||
|
" 0.041438040179150003,\n",
|
||||||
|
" 0.040828311002284692,\n",
|
||||||
|
" 0.039829764251821366,\n",
|
||||||
|
" 0.038468181363671021,\n",
|
||||||
|
" 0.036778249821351520,\n",
|
||||||
|
" 0.034802239101869456,\n",
|
||||||
|
" 0.032588410933658420,\n",
|
||||||
|
" 0.030189239563895291,\n",
|
||||||
|
" 0.027659525485854094,\n",
|
||||||
|
" 0.025054489273884584,\n",
|
||||||
|
" 0.022427930710902898,\n",
|
||||||
|
" 0.019830532444994709,\n",
|
||||||
|
" 0.017308377414832207,\n",
|
||||||
|
" 0.014901735907231647,\n",
|
||||||
|
" 0.012644162210467488,\n",
|
||||||
|
" 0.010561923390649715,\n",
|
||||||
|
" 0.008673764799041547,\n",
|
||||||
|
" 0.006990999568786178,\n",
|
||||||
|
" 0.005517893567100902,\n",
|
||||||
|
" 0.004252303894058680,\n",
|
||||||
|
" 0.003186518744650965,\n",
|
||||||
|
" 0.002308239744151388,\n",
|
||||||
|
" 0.001601644955843254,\n",
|
||||||
|
" 0.001048471626315152,\n",
|
||||||
|
" 0.000629062120588114,\n",
|
||||||
|
" 0.000323323938002668,\n",
|
||||||
|
" 0.000111564545505229,\n",
|
||||||
|
" -0.000024826753571648,\n",
|
||||||
|
" -0.000102865422361327,\n",
|
||||||
|
" -0.000137630058679112,\n",
|
||||||
|
" -0.000142084479366378,\n",
|
||||||
|
" -0.000127045709202359,\n",
|
||||||
|
" -0.000101272447699963,\n",
|
||||||
|
" -0.000071643508460196,\n",
|
||||||
|
" -0.000043393375246200,\n",
|
||||||
|
" -0.000020372384569461,\n",
|
||||||
|
" -0.000005301919181359,\n",
|
||||||
|
"]\n",
|
||||||
|
"b_sinc = np.around([k * 56536 for k in b_sinc])/65536\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"def combined_sinc_mavg(alpha = 0.4):\n",
|
||||||
|
" b1 = [alpha]\n",
|
||||||
|
" b2 = b_sinc\n",
|
||||||
|
" a1 = [1, -(1-alpha)]\n",
|
||||||
|
" a2 = [1]\n",
|
||||||
|
" \n",
|
||||||
|
" b = np.convolve(b1, b2)\n",
|
||||||
|
" a = np.convolve(a1, a2)\n",
|
||||||
|
" return b,a\n",
|
||||||
|
"\n",
|
||||||
|
"def iir_notch(freq, r, fsa):\n",
|
||||||
|
" b = [1, -2*np.cos(freq/fsa*2*np.pi), 1]\n",
|
||||||
|
" a = [1, -2*r*np.cos(freq/fsa*2*np.pi), r*r]\n",
|
||||||
|
" return b,a"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "299fc59e",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": []
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "0af3fa7b",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"def plot_transfer_func(b, a, fsa = 1):\n",
|
||||||
|
" omega, vals = signal.freqz(b, a, worN = 1024)\n",
|
||||||
|
" plt.plot(omega/(2*np.pi)*fsa, abs(vals))\n",
|
||||||
|
" \n",
|
||||||
|
"sample_rate = 1e3/6\n",
|
||||||
|
"plt.figure(figsize=(16,8))\n",
|
||||||
|
"plt.yscale('log')\n",
|
||||||
|
"plot_transfer_func(mavg_b, mavg_a, sample_rate)\n",
|
||||||
|
"plt.ylabel('|H(w)| [dB]')\n",
|
||||||
|
"plt.xlabel('Frequency [Hz]')\n",
|
||||||
|
"\n",
|
||||||
|
"plot_transfer_func(b_sinc, [1], sample_rate)\n",
|
||||||
|
"\n",
|
||||||
|
"# Combined filter\n",
|
||||||
|
"b,a = combined_sinc_mavg(alpha = 1)\n",
|
||||||
|
"b_notch, a_notch = iir_notch(50, 0.875, sample_rate)\n",
|
||||||
|
"b = np.convolve(b, b_notch)\n",
|
||||||
|
"a = np.convolve(a, a_notch)\n",
|
||||||
|
"plot_transfer_func(b,a, sample_rate)\n",
|
||||||
|
"plt.grid()\n",
|
||||||
|
"\n",
|
||||||
|
"plt.legend(['MAVG a = 0.01', 'SINC', 'SINC+MAVG'])\n",
|
||||||
|
"plt.xlim(0, 70)\n",
|
||||||
|
"plt.show()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "c9b87b82",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# Notch filters (Not used for implementation)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "c360b127",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"plt.figure(figsize=(16,8))\n",
|
||||||
|
"plt.yscale('log')\n",
|
||||||
|
"a = [1]\n",
|
||||||
|
"b = [1, -2*np.cos(50/sample_rate*2*np.pi), 1]\n",
|
||||||
|
"plot_transfer_func(b,a, sample_rate)\n",
|
||||||
|
"\n",
|
||||||
|
"b = [1, -2*np.cos(60/sample_rate*2*np.pi), 1]\n",
|
||||||
|
"plot_transfer_func(b,a, sample_rate)\n",
|
||||||
|
"\n",
|
||||||
|
"r = 0.875\n",
|
||||||
|
"b,a = iir_notch(50, r, sample_rate)\n",
|
||||||
|
"plot_transfer_func(b,a, sample_rate)\n",
|
||||||
|
"\n",
|
||||||
|
"b,a = iir_notch(60, r, sample_rate)\n",
|
||||||
|
"plot_transfer_func(b,a, sample_rate)\n",
|
||||||
|
"plt.xlim(40,70)\n",
|
||||||
|
"plt.legend(['FIR 50 Hz Notch', 'FIR 60 Hz', 'IIR 50Hz', 'IIR 60Hz'])\n",
|
||||||
|
"plt.show()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "891bf909",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# Singal testing"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "29277520",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"N = 30000\n",
|
||||||
|
"time = np.linspace(0, 1/sample_rate*N, N, endpoint=False)\n",
|
||||||
|
"sig = 10*signal.sawtooth(2*np.pi*0.2*time)+10 #+ 0.5 * np.sin(2*np.pi*50*time)+0.8 * np.sin(2*np.pi*80*time)\n",
|
||||||
|
"\n",
|
||||||
|
"plt.figure(figsize=(16,8))\n",
|
||||||
|
"\n",
|
||||||
|
"spur_len = 3\n",
|
||||||
|
"\n",
|
||||||
|
"sig[1000:1000+spur_len] = sig[1000]+5\n",
|
||||||
|
"sig[2000:2000+spur_len] = sig[2000]-6\n",
|
||||||
|
"sig[3000:3000+spur_len] = sig[3000]+2\n",
|
||||||
|
"sig[4000:4000+spur_len] = sig[4000]+8\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"plt.plot(time, sig)\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"# Apply the combined filter:\n",
|
||||||
|
"b,a = combined_sinc_mavg(alpha = 1)\n",
|
||||||
|
"\n",
|
||||||
|
"bn,an = iir_notch(50, 0.875, sample_rate)\n",
|
||||||
|
"a = np.convolve(a, an)\n",
|
||||||
|
"b = np.convolve(b, bn)\n",
|
||||||
|
"\n",
|
||||||
|
"#b,a = mavg_b, mavg_a\n",
|
||||||
|
"\n",
|
||||||
|
"w,h = signal.freqz(b,a)\n",
|
||||||
|
"gain_corr = round(1/abs(h[0])*65536)/65536\n",
|
||||||
|
"\n",
|
||||||
|
"sig_f = signal.lfilter(b, a, sig) * gain_corr\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"print('Gain correction:', gain_corr)\n",
|
||||||
|
"\n",
|
||||||
|
"plt.plot(time, sig_f)\n",
|
||||||
|
"plt.xlim(5,10)\n",
|
||||||
|
"plt.show()\n",
|
||||||
|
"\n",
|
||||||
|
"plt.figure(figsize=(16,8))\n",
|
||||||
|
"plt.plot(time, abs(sig-sig_f))\n",
|
||||||
|
"plt.xlim(5,10)\n",
|
||||||
|
"plt.ylim(0,2)\n",
|
||||||
|
"plt.show()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "13758640",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"\n",
|
||||||
|
"window = signal.windows.hamming(N)\n",
|
||||||
|
"\n",
|
||||||
|
"h_sig = fft(sig*window)\n",
|
||||||
|
"f_sig = fftfreq(N, 1/sample_rate)[:N//2]\n",
|
||||||
|
"\n",
|
||||||
|
"h_sig_f = fft(sig_f*window)\n",
|
||||||
|
"f_sig_f = fftfreq(N, 1/sample_rate)[:N//2]\n",
|
||||||
|
"\n",
|
||||||
|
"plt.figure(figsize=(16,10))\n",
|
||||||
|
"plt.yscale('log')\n",
|
||||||
|
"plt.plot(f_sig, 2.0/N*abs(h_sig[0:N//2]))\n",
|
||||||
|
"plt.plot(f_sig_f, 2.0/N*abs(h_sig_f[0:N//2]))\n",
|
||||||
|
"plt.show();"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "f4b81600",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# PT1000 HF Filtering"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "a87370ee",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"raw_data = pd.read_csv(r'pt1000_hf_2kOhm_v1.3.dat')\n",
|
||||||
|
"raw_data = pd.read_csv(r'pt1000_hf_changing.dat')\n",
|
||||||
|
"time = np.linspace(0, 2000*6e-3, 2000, endpoint=False)\n",
|
||||||
|
"\n",
|
||||||
|
"plt.figure(figsize=(22,12))\n",
|
||||||
|
"plt.plot(time, raw_data['hf_value']*2500/4096)\n",
|
||||||
|
"\n",
|
||||||
|
"alpha = 0.005\n",
|
||||||
|
"\n",
|
||||||
|
"mavg_b = [alpha]\n",
|
||||||
|
"mavg_a = [1, -(1-alpha)]\n",
|
||||||
|
"\n",
|
||||||
|
"zi = signal.lfilter_zi(mavg_b, mavg_a)\n",
|
||||||
|
"filtered, _ = signal.lfilter(mavg_b, mavg_a, raw_data['hf_value'], zi=zi*raw_data['hf_value'][0])\n",
|
||||||
|
"plt.plot(time, filtered*2500/4096)\n",
|
||||||
|
"filtered_avg_low = filtered\n",
|
||||||
|
"\n",
|
||||||
|
"alpha = 0.01\n",
|
||||||
|
"mavg_b = [alpha]\n",
|
||||||
|
"mavg_a = [1, -(1-alpha)]\n",
|
||||||
|
"\n",
|
||||||
|
"zi = signal.lfilter_zi(mavg_b, mavg_a)\n",
|
||||||
|
"filtered, _ = signal.lfilter(mavg_b, mavg_a, raw_data['hf_value'], zi=zi*raw_data['hf_value'][0])\n",
|
||||||
|
"plt.plot(time, filtered*2500/4096)\n",
|
||||||
|
"filtered_avg = filtered\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"# Apply the combined filter:\n",
|
||||||
|
"b,a = combined_sinc_mavg(alpha = 0.08)\n",
|
||||||
|
"\n",
|
||||||
|
"bn,an = iir_notch(4, 0.75, sample_rate)\n",
|
||||||
|
"a = np.convolve(a, an)\n",
|
||||||
|
"b = np.convolve(b, bn)\n",
|
||||||
|
"\n",
|
||||||
|
"zi = signal.lfilter_zi(b, a)\n",
|
||||||
|
"filtered, _ = signal.lfilter(b, a, raw_data['hf_value'], zi=zi*raw_data['hf_value'][0])\n",
|
||||||
|
"\n",
|
||||||
|
"w,h = signal.freqz(b,a)\n",
|
||||||
|
"gain_corr = round(1/abs(h[0])*65536)/65536\n",
|
||||||
|
"\n",
|
||||||
|
"plt.plot(time, filtered*gain_corr*2500/4096)\n",
|
||||||
|
"plt.savefig('expl.pdf', format='pdf', dpi=1200)\n",
|
||||||
|
"plt.show()\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "3eae0e71",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## Spectrum"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "8d082b99",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"window =signal.windows.hamming(len(raw_data['hf_value']))\n",
|
||||||
|
"raw_fft = fft(np.array(raw_data['hf_value'].to_list())*window)\n",
|
||||||
|
"f_raw = fftfreq(len(raw_data), 1/sample_rate)[:len(raw_data)//2]\n",
|
||||||
|
"plt.figure(figsize=(16,10));\n",
|
||||||
|
"plt.yscale('log')\n",
|
||||||
|
"plt.plot(f_raw, abs(raw_fft[:len(raw_data)//2]))\n",
|
||||||
|
"\n",
|
||||||
|
"avg_fft = fft(np.array(filtered_avg)*window)\n",
|
||||||
|
"plt.plot(f_raw, abs(avg_fft[:len(raw_data)//2]))\n",
|
||||||
|
"\n",
|
||||||
|
"avg_fft = fft(np.array(filtered_avg_low)*window)\n",
|
||||||
|
"plt.plot(f_raw, abs(avg_fft[:len(raw_data)//2]))\n",
|
||||||
|
"\n",
|
||||||
|
"sinc_fft = fft(np.array(filtered)*window)\n",
|
||||||
|
"plt.plot(f_raw, abs(sinc_fft[:len(raw_data)//2]))\n",
|
||||||
|
"plt.xscale('log')\n",
|
||||||
|
"plt.show()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "e09d63f9",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"print(np.std(filtered_avg_low/4096*2500))\n",
|
||||||
|
"print(np.std(filtered_avg/4096*2500))\n",
|
||||||
|
"print(np.std(filtered/4096*2500))\n",
|
||||||
|
"\n",
|
||||||
|
"print('Min',min(filtered_avg/4096*2500), 'Max', max(filtered_avg)/4096*2500)\n",
|
||||||
|
"print('Min',min(filtered)/4096*2500*gain_corr, 'Max', max(filtered)/4096*2500*gain_corr)"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 3
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython3",
|
||||||
|
"version": "3.9.6"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
2001
measurement-data/pt1000_hf_2kOhm_v1.3.dat
Normal file
2001
measurement-data/pt1000_hf_2kOhm_v1.3.dat
Normal file
File diff suppressed because it is too large
Load Diff
2001
measurement-data/pt1000_hf_changing.dat
Normal file
2001
measurement-data/pt1000_hf_changing.dat
Normal file
File diff suppressed because it is too large
Load Diff
@ -45,6 +45,7 @@
|
|||||||
#include <reflow-controller/temp-profile/temp-profile-executer.h>
|
#include <reflow-controller/temp-profile/temp-profile-executer.h>
|
||||||
#include <reflow-controller/updater/updater.h>
|
#include <reflow-controller/updater/updater.h>
|
||||||
#include <reflow-controller/main-cycle-counter.h>
|
#include <reflow-controller/main-cycle-counter.h>
|
||||||
|
#include <stdio.h>
|
||||||
|
|
||||||
#ifndef GIT_VER
|
#ifndef GIT_VER
|
||||||
#define GIT_VER "VERSION NOT SET"
|
#define GIT_VER "VERSION NOT SET"
|
||||||
@ -829,6 +830,126 @@ shellmatta_retCode_t shell_cmd_cycle_count (const shellmatta_handle_t handle, co
|
|||||||
return SHELLMATTA_OK;
|
return SHELLMATTA_OK;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
shellmatta_retCode_t shell_cmd_filter_alpha(const shellmatta_handle_t handle, const char *args, uint32_t len)
|
||||||
|
{
|
||||||
|
shellmatta_retCode_t opt_stat;
|
||||||
|
char option;
|
||||||
|
char *argument;
|
||||||
|
uint32_t arg_len;
|
||||||
|
char *alpha_string = NULL;
|
||||||
|
float alpha;
|
||||||
|
(void)len;
|
||||||
|
(void)args;
|
||||||
|
|
||||||
|
const shellmatta_opt_long_t options[] = {
|
||||||
|
{NULL, '\0', SHELLMATTA_OPT_ARG_NONE},
|
||||||
|
};
|
||||||
|
|
||||||
|
while (1) {
|
||||||
|
opt_stat = shellmatta_opt_long(handle, options, &option, &argument, &arg_len);
|
||||||
|
if (opt_stat != SHELLMATTA_OK)
|
||||||
|
break;
|
||||||
|
switch (option) {
|
||||||
|
case '\0':
|
||||||
|
alpha_string = argument;
|
||||||
|
break;
|
||||||
|
default:
|
||||||
|
break;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
if (!alpha_string) {
|
||||||
|
shellmatta_printf(handle, "Specify filter value!\r\n");
|
||||||
|
return SHELLMATTA_OK;
|
||||||
|
}
|
||||||
|
|
||||||
|
alpha = strtof(alpha_string, NULL);
|
||||||
|
if (alpha < 0.0f || alpha == 0.0f || alpha > 0.9f) {
|
||||||
|
shellmatta_printf(handle, "Filter param outside of valid range!\r\n");
|
||||||
|
return SHELLMATTA_OK;
|
||||||
|
}
|
||||||
|
|
||||||
|
adc_pt1000_set_moving_average_filter_param(alpha);
|
||||||
|
shellmatta_printf(handle, "Filter param set to %f\r\n", alpha);
|
||||||
|
|
||||||
|
return SHELLMATTA_OK;
|
||||||
|
}
|
||||||
|
|
||||||
|
#if 0
|
||||||
|
shellmatta_retCode_t shell_cmd_hf_stream(const shellmatta_handle_t handle, const char *args, uint32_t len)
|
||||||
|
{
|
||||||
|
float *data1;
|
||||||
|
volatile int flag;
|
||||||
|
FRESULT fres;
|
||||||
|
char *strbuff;
|
||||||
|
FIL f;
|
||||||
|
const size_t buff_size = 2000UL;
|
||||||
|
uint32_t idx;
|
||||||
|
uint32_t blocks;
|
||||||
|
uint32_t remainder;
|
||||||
|
int cnt;
|
||||||
|
UINT bw;
|
||||||
|
|
||||||
|
data1 = (float *)malloc(buff_size*sizeof(float));
|
||||||
|
strbuff = (char *)malloc(1024);
|
||||||
|
|
||||||
|
if (!data1 || !strbuff) {
|
||||||
|
shellmatta_printf(handle, "Allocating memory failed!\r\n");
|
||||||
|
goto free_data;
|
||||||
|
}
|
||||||
|
|
||||||
|
fres = f_open(&f, "pt1000_hf.dat", FA_CREATE_ALWAYS | FA_WRITE);
|
||||||
|
if (fres != FR_OK) {
|
||||||
|
shellmatta_printf(handle, "Cannot open file.\r\n");
|
||||||
|
goto free_data;
|
||||||
|
}
|
||||||
|
|
||||||
|
shellmatta_printf(handle, "Acquire data...\r\n");
|
||||||
|
flag = 0;
|
||||||
|
adc_pt1000_stream_raw_value_to_memory(data1, buff_size, &flag);
|
||||||
|
while (!flag) {
|
||||||
|
safety_controller_handle();
|
||||||
|
}
|
||||||
|
shellmatta_printf(handle, "Finished. Writing file...\r\n");
|
||||||
|
|
||||||
|
blocks = buff_size / 10UL;
|
||||||
|
remainder = buff_size % 10UL;
|
||||||
|
|
||||||
|
for (idx = 0; idx < blocks; idx++) {
|
||||||
|
cnt = snprintf(strbuff, 1024, "%.2f\n%.2f\n%.2f\n%.2f\n%.2f\n%.2f\n%.2f\n%.2f\n%.2f\n%.2f\n",
|
||||||
|
data1[idx * 10+0],
|
||||||
|
data1[idx * 10+1],
|
||||||
|
data1[idx * 10+2],
|
||||||
|
data1[idx * 10+3],
|
||||||
|
data1[idx * 10+4],
|
||||||
|
data1[idx * 10+5],
|
||||||
|
data1[idx * 10+6],
|
||||||
|
data1[idx * 10+7],
|
||||||
|
data1[idx * 10+8],
|
||||||
|
data1[idx * 10+9]);
|
||||||
|
f_write(&f, strbuff, (UINT)cnt, &bw);
|
||||||
|
safety_controller_handle();
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
for (idx = 0; idx < remainder; idx++) {
|
||||||
|
cnt = snprintf(strbuff, 1024, "%.2f\n", data1[blocks * 10 + idx]);
|
||||||
|
f_write(&f, strbuff, (UINT)cnt, &bw);
|
||||||
|
}
|
||||||
|
|
||||||
|
f_close(&f);
|
||||||
|
|
||||||
|
shellmatta_printf(handle, "Completed!\r\n");
|
||||||
|
free_data:
|
||||||
|
if (data1)
|
||||||
|
free(data1);
|
||||||
|
if (strbuff)
|
||||||
|
free(strbuff);
|
||||||
|
|
||||||
|
return SHELLMATTA_OK;
|
||||||
|
}
|
||||||
|
#endif
|
||||||
|
|
||||||
//typedef struct shellmatta_cmd
|
//typedef struct shellmatta_cmd
|
||||||
//{
|
//{
|
||||||
// char *cmd; /**< command name */
|
// char *cmd; /**< command name */
|
||||||
@ -838,7 +959,7 @@ shellmatta_retCode_t shell_cmd_cycle_count (const shellmatta_handle_t handle, co
|
|||||||
// shellmatta_cmdFct_t cmdFct; /**< pointer to the cmd callack function */
|
// shellmatta_cmdFct_t cmdFct; /**< pointer to the cmd callack function */
|
||||||
// struct shellmatta_cmd *next; /**< pointer to next command or NULL */
|
// struct shellmatta_cmd *next; /**< pointer to next command or NULL */
|
||||||
//} shellmatta_cmd_t;
|
//} shellmatta_cmd_t;
|
||||||
static shellmatta_cmd_t cmd[23] = {
|
static shellmatta_cmd_t cmd[24] = {
|
||||||
{
|
{
|
||||||
.cmd = "version",
|
.cmd = "version",
|
||||||
.cmdAlias = "ver",
|
.cmdAlias = "ver",
|
||||||
@ -1014,8 +1135,16 @@ static shellmatta_cmd_t cmd[23] = {
|
|||||||
.helpText = "Print out the cycle counter of the main loop",
|
.helpText = "Print out the cycle counter of the main loop",
|
||||||
.usageText = "cyclecount [--clear]",
|
.usageText = "cyclecount [--clear]",
|
||||||
.cmdFct = shell_cmd_cycle_count,
|
.cmdFct = shell_cmd_cycle_count,
|
||||||
.next = NULL,
|
.next = &cmd[22],
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
.cmd = "filter-alpha",
|
||||||
|
.cmdAlias = "alpha",
|
||||||
|
.helpText = "Sets the filter constant",
|
||||||
|
.usageText = "filter-alpha <alpha>",
|
||||||
|
.cmdFct = shell_cmd_filter_alpha,
|
||||||
|
.next = NULL,
|
||||||
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
shellmatta_handle_t shell_init(shellmatta_write_t write_func)
|
shellmatta_handle_t shell_init(shellmatta_write_t write_func)
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user