Measurement Circuits.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture \n",
    "\n",
    "#!# This example shows the computation of the DC bias and sensitivity in a voltage divider.\n",
    "\n",
    "####################################################################################################\n",
    "\n",
    "import PySpice.Logging.Logging as Logging\n",
    "logger = Logging.setup_logging()\n",
    "\n",
    "####################################################################################################\n",
    "\n",
    "from PySpice.Spice.Netlist import Circuit\n",
    "from PySpice.Unit import *\n",
    "from IPython.display import Image\n",
    "####################################################################################################\n",
    "\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams[\"figure.figsize\"] = (12,5)\n",
    "\n",
    "####################################################################################################\n",
    "\n",
    "from PySpice.Probe.Plot import plot\n",
    "\n",
    "from PySpice.Spice.NgSpice.Shared import NgSpiceShared\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Circuit](voltage.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys  \n",
    "\n",
    "try:\n",
    "  import ipython_circuitikz.circuitikz\n",
    "except ImportError:\n",
    "  # Assuming CWD is where we started Jupyter in/\n",
    "  assert os.path.isfile('C:/Users/mopfe/Dropbox/HRW/ipython_circuitikz/circuitikz.py')\n",
    "  sys.path.append('C:/Users/mopfe/Dropbox/HRW/')\n",
    "  import ipython_circuitikz.circuitikz\n",
    "    \n",
    "%reload_ext ipython_circuitikz.circuitikz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%circuitikz filename=current_measurement dpi=125\n",
    "\\begin{circuitikz}\n",
    "  \\draw (0,0) to [short] (4,0);\n",
    "  \\draw  (4,0)  to [R, l=$R_{x}$] (4,4);\n",
    "  \\draw (4,4) to [short] (0,4);\n",
    "  \\draw (0,4)  to [I, l=$10 mA$] (0,0);\n",
    "  \\draw  (4,4) to [short,] (6,4);\n",
    "  \\draw (6,4) to [voltmeter, l=$U_{meas}$] (6,0);\n",
    "   \\draw  (6,0) to [short,] (4,0);\n",
    "\\end{circuitikz}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "circuit = Circuit('Current_Measurement')\n",
    "\n",
    "#internal Resistance\n",
    "internal_resistance = 10 #Units of Ohms\n",
    "#Voltmeter Resistance\n",
    "vm_res = 1000 #Units of kOhms\n",
    "\n",
    "circuit.I('input', 'out', circuit.gnd, 0.01@u_A)\n",
    "circuit.R(1, 'out', circuit.gnd, internal_resistance@u_Ω)\n",
    "circuit.R(2, 'out', circuit.gnd, vm_res@u_kΩ)\n",
    "\n",
    "####################################################################################################\n",
    "\n",
    "simulator = circuit.simulator(temperature=25, nominal_temperature=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "sweep = slice(0,0.01,0.001)\n",
    "analysis = simulator.dc(Iinput=slice(0, 0.01, .001))\n",
    "print('Lead Resistance: {} Ω' .format(float(internal_resistance)))\n",
    "print('Voltmeter Resistance: {} kΩ' .format(float(vm_res)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot( analysis.sweep, -analysis.out)\n",
    "plt.title('DC Current Measurements')\n",
    "plt.xlabel('current (A)')\n",
    "plt.ylabel('voltage over internal resistance (V)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%circuitikz filename=voltage_measurement dpi=125\n",
    "\\begin{circuitikz}\n",
    "  \\draw (0,0) to [R, l=$R_{L1}$] (4,0);\n",
    "  \\draw (4,4) to [R, l=$R_{L2}$] (0,4);\n",
    "  \\draw (4,4) to [R, l=$R_{meas}$] (4,0);\n",
    "  \\draw (0,4) to [V, l=$1 V$] (0,0);\n",
    "  \\draw  (4,4) to [short,] (6,4);\n",
    "  \\draw (6,4) to [voltmeter, l=$U_{meas}$] (6,0);\n",
    "   \\draw  (6,0) to [short,] (4,0);\n",
    "\\end{circuitikz}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "circuit = Circuit('Voltage_Measurement')\n",
    "\n",
    "#lead Resistances\n",
    "l1_res = 1000 #Units of Ohms\n",
    "l2_res = 1000 #Ohms\n",
    "#Voltmeter Resistance\n",
    "vm_res = 1000 #Units of kOhms\n",
    "\n",
    "circuit.V('input', 1, circuit.gnd, 1@u_V)\n",
    "circuit.R(1, 1, 'out', l1_res@u_Ω)\n",
    "circuit.R(2, circuit.gnd, 'zero', l2_res@u_Ω)\n",
    "circuit.R(3, 'zero', 'out', vm_res@u_Ω)\n",
    "####################################################################################################\n",
    "\n",
    "simulator = circuit.simulator(temperature=25, nominal_temperature=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "analysis = simulator.dc(Vinput=slice(0, 10, .01))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(analysis.sweep, analysis.out - analysis.zero )\n",
    "plt.title('DC Voltage Measurements')\n",
    "plt.xlabel('voltage at source (V)')\n",
    "plt.ylabel('voltage over internal resistance (V)')         \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "![Circuit](voltage_ranges_2.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%circuitikz filename=voltage_measurement_ranges dpi=125\n",
    "\\begin{circuitikz}\n",
    "  \\draw (0,4) to [R, l=$1 \\Omega$] (3,4);\n",
    "  \\draw (3,4) to [R, l=$9 \\Omega$] (6,4);\n",
    "  \\draw (6,4) to [R, l=$90 \\Omega$] (9,4);\n",
    "  \\draw (9,4) to [R, l=$900 \\Omega$] (12,4);\n",
    "  \\draw (9.5,4) to [R, l=$R_{meas}$] (9.5,0);\n",
    "  \\draw (0,4) to [V, l=$U_{source}$] (0,0);\n",
    "  \\draw (8.5,4) to [voltmeter,] (8.5,0);\n",
    "    \\draw (12,4) to [short,] (12,0);\n",
    "   \\draw  (12,0) to [short,] (0,0);\n",
    "\\end{circuitikz}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Voltmeter Resistance: 10000.0 kΩ\n",
      "Node src: 100.0 V\n",
      "Node r_1: 9.99910089011878 V\n",
      "Node r_10: 0.9990109791306605 V\n",
      "Node r_100: 0.09990109791306606 V\n"
     ]
    }
   ],
   "source": [
    "circuit2 = Circuit('Voltage_Measurement_Ranges')\n",
    "\n",
    "#Voltmeter Resistance\n",
    "vm_res = 10000 #Units of kOhms\n",
    "r_1 = 900 #Units of kOhms\n",
    "r_10 = 90 #Units of kOhms\n",
    "r_100 = 9 #Units of kOhms\n",
    "r_base = 1 #Units of kOhms\n",
    "\n",
    "circuit2.V('source', 'src', circuit2.gnd, 100@u_V)\n",
    "circuit2.R(1, 'src', 'r_1', r_1@u_kΩ)\n",
    "circuit2.R(2, 'r_1', 'r_10', r_10@u_kΩ)\n",
    "circuit2.R(3, 'r_10', 'r_100', r_100@u_kΩ)\n",
    "circuit2.R(4, 'r_100', circuit2.gnd, r_base@u_kΩ)\n",
    "circuit2.R(5, 'r_10', circuit2.gnd, vm_res@u_kΩ)\n",
    "\n",
    "####################################################################################################\n",
    "\n",
    "simulator = circuit2.simulator(temperature=25, nominal_temperature=25)\n",
    "\n",
    "analysis = simulator.operating_point()\n",
    "\n",
    "print('Voltmeter Resistance: {} kΩ' .format(float(vm_res)))\n",
    "\n",
    "for node in (analysis['src'],analysis['r_1'], analysis['r_10'], analysis['r_100']): # .in is invalid !\n",
    "    print('Node {}: {} V'.format(str(node), float(node)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}