119 lines
16 KiB
Plaintext
119 lines
16 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "eb14dc9b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Text(0, 0.5, 'Ток, мА')"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 576x432 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import numpy as np\n",
|
||
"\n",
|
||
"\n",
|
||
"#d = 0.2 mm, l = 5.2 mm\n",
|
||
"\n",
|
||
"#217 V -> 32 V \n",
|
||
"\n",
|
||
"#V\n",
|
||
"voltage_up = [31.76, 31.48, 30.25, 29.65, 29.09, 28.33, 27.97, 27.62, 27.20, 27.05, 27] #27 скачет +- 0.2\n",
|
||
"#mA / 0.04\n",
|
||
"current_up = [35, 40, 46, 52, 57, 65, 70, 79, 90, 99, 110]\n",
|
||
"\n",
|
||
"for i in range(len(current_up)):\n",
|
||
" current_up[i] *= 0.04\n",
|
||
"\n",
|
||
"#V\n",
|
||
"voltage_down = [27.00, 27.03, 27.07, 27.23, 27.48, 27.85, 28.37, 29.37, 30.45, 31.82]\n",
|
||
"#mA / 0.04\n",
|
||
"current_down = [106, 101, 93, 86, 80, 71, 63, 54, 45, 34]\n",
|
||
"\n",
|
||
"for i in range(len(current_down)):\n",
|
||
" current_down[i] *= 0.04\n",
|
||
"\n",
|
||
"# 36 V -> 66 V\n",
|
||
"\n",
|
||
"voltage_lin = [29, 30.25, 31.48, 32]\n",
|
||
"current_lin = [0.04 * (46 + 6 * 1.25 / 1.23), 0.04 * 46, 0.04 * 40, 0.04 * (40 - 6 * 0.52 / 1.23)]\n",
|
||
"\n",
|
||
"plt.figure(figsize=(8, 6))\n",
|
||
"plt.scatter(voltage_up, current_up, color = 'green', marker = 'o')\n",
|
||
"plt.scatter(voltage_down, current_down, color = 'orange', marker = 'o')\n",
|
||
"plt.plot(voltage_lin, current_lin, color = 'black', linewidth = 0.5)\n",
|
||
"plt.xlabel('Напряжение, В')\n",
|
||
"plt.ylabel('Ток, мА')\n",
|
||
"#plt.plot(voltage_up, inverse(voltage_up, *params_up))\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "899d025a",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "bd2677a2",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "2395d40a",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"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": "3.9.12"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|