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Diffstat (limited to 'Basic_Electronics_and_Linear_Circuits/ch8.ipynb')
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diff --git a/Basic_Electronics_and_Linear_Circuits/ch8.ipynb b/Basic_Electronics_and_Linear_Circuits/ch8.ipynb deleted file mode 100755 index 0309b1db..00000000 --- a/Basic_Electronics_and_Linear_Circuits/ch8.ipynb +++ /dev/null @@ -1,561 +0,0 @@ -{ - "metadata": { - "name": "", - "signature": "sha256:49ff0cb528d7e276dc193290984b83a2a7d93cab62d6ab90be1af99e7320d3ef" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "heading", - "level": 1, - "metadata": {}, - "source": [ - "Chapter 8:Small Signal Amplifiers" - ] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example 8.1 Page no.271" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "Ic=2*10**(-3) #A, collector current\n", - "Vce=8.5 #V, collectoe emitter voltage\n", - "\n", - "#Calculation\n", - "#hfe=delta(ic)/delta(ib), #forward current ratio in CE mode\n", - "#Vce=constant #collector emitter voltage\n", - "hfe=(2.7-1.7)*10**(-3)/((20-10)*10**(-6))\n", - "#hoe=delta(ic)/delta(Vce), #output admittance in CE mode\n", - "#ib=constant\n", - "hoe=(2.2-2.1)*10**(-3)/(10-7)\n", - "#hie=delta(Vbe)/delta(ib), #dynamic input resistance\n", - "#Vce=constant\n", - "hie=(0.73-0.715)/((20-10)*10**(-6))\n", - "#hre=delta(Vbe)/delta(Vce),ib=constant #reverse voltage ratio in CE mode\n", - "hre=(0.73-0.72)/(20-0)\n", - "\n", - "#Result\n", - "print \"hfe = \",hfe\n", - "print \"hoe = \",round(hoe/10**(-6),2),\"microS\"\n", - "print \"hie = \",hie/10**3,\"kohm\"\n", - "print \"hre = \",hre\n", - "\n", - "#a) Plot\n", - "#Load Line \n", - "Vce0=[0,15]\n", - "Ic0=[5,0]\n", - "a0=plot(Vce0,Ic0)\n", - "q1=plot(8.5,2.1,label='Q point',marker='o')\n", - "legend()\n", - "# AT Ib=0 microA\n", - "Vce1=[0,1,15]\n", - "Ic1=[0,0.2,0.7]\n", - "a1=plot(Vce1,Ic1)\n", - "# AT Ib=10 microA\n", - "Vce2=[0,1,15]\n", - "Ic2=[0,1.2,1.9]\n", - "a2=plot(Vce2,Ic2)\n", - "# AT Ib=20 microA\n", - "Vce3=[0,1,15]\n", - "Ic3=[0,2.2,3]\n", - "a3=plot(Vce3,Ic3)\n", - "# AT Ib=30 microA\n", - "Vce4=[0,1,15]\n", - "Ic4=[0,3.1,4.1]\n", - "a4=plot(Vce4,Ic4)\n", - "# AT Ib=40 microA\n", - "Vce5=[0,1,15]\n", - "Ic5=[0,4.1,5]\n", - "a5=plot(Vce5,Ic5)\n", - "# AT Ib=50 microA\n", - "Vce6=[0,1,15]\n", - "Ic6=[0,5.1,6.1]\n", - "a6=plot(Vce6,Ic6)\n", - "# AT Ib=60 microA\n", - "Vce7=[0,1,15]\n", - "Ic7=[0,6.1,7.2]\n", - "a7=plot(Vce7,Ic7)\n", - "#At Vce=8.5 V\n", - "Vce8=[0,15]\n", - "Ice8=[2.7,2.7]\n", - "a8=plot(Vce8,Ice8)\n", - "\n", - "Vce9=[0,15]\n", - "Ice9=[1.7,1.7]\n", - "a9=plot(Vce9,Ice9)\n", - "#at Vce=8.5\n", - "Vce10=[8.5,8.5]\n", - "Ice10=[0,3]\n", - "a10=plot(Vce10,Ice10)\n", - "xlim(0,18)\n", - "ylim(0,8)\n", - "xlabel(\"$Vce(volt)$\")\n", - "ylabel(\"$Ic(mA)$\")\n", - "show(q1)\n", - "show(a0)\n", - "show(a1)\n", - "show(a2)\n", - "show(a3)\n", - "show(a4)\n", - "show(a5)\n", - "show(a6)\n", - "show(a7)\n", - "show(a8)\n", - "show(a9)\n", - "show(a10)\n", - "\n", - "#(b) Plot\n", - "#Plot\n", - "#Load Line \n", - "Vce0=[0,15]\n", - "Ic0=[5,0]\n", - "a0=plot(Vce0,Ic0)\n", - "# AT Ib=0 microA\n", - "Vce1=[0,1,15]\n", - "Ic1=[0,0.2,0.7]\n", - "a1=plot(Vce1,Ic1)\n", - "# AT Ib=10 microA\n", - "Vce2=[0,1,15]\n", - "Ic2=[0,1.2,1.9]\n", - "a2=plot(Vce2,Ic2)\n", - "# AT Ib=20 microA\n", - "Vce3=[0,1,15]\n", - "Ic3=[0,2.2,3]\n", - "a3=plot(Vce3,Ic3)\n", - "# AT Ib=30 microA\n", - "Vce4=[0,1,15]\n", - "Ic4=[0,3.1,4.1]\n", - "a4=plot(Vce4,Ic4)\n", - "# AT Ib=40 microA\n", - "Vce5=[0,1,15]\n", - "Ic5=[0,4.1,5]\n", - "a5=plot(Vce5,Ic5)\n", - "# AT Ib=50 microA\n", - "Vce6=[0,1,15]\n", - "Ic6=[0,5.1,6.1]\n", - "a6=plot(Vce6,Ic6)\n", - "# AT Ib=60 microA\n", - "Vce7=[0,1,15]\n", - "Ic7=[0,6.1,7.2]\n", - "a7=plot(Vce7,Ic7)\n", - "\n", - "#At Vce=8.5 V\n", - "Vce8=[0,8.5,10]\n", - "Ice8=[2.2,2.2,2.15]\n", - "a8=plot(Vce8,Ice8)\n", - "# and\n", - "Vce9=[0,8.5,10]\n", - "Ice9=[2.1,2.1,2.15]\n", - "a9=plot(Vce9,Ice9)\n", - "#at Vce=8.5\n", - "Vce10=[8.5,8.5]\n", - "Ice10=[0,2.2]\n", - "a10=plot(Vce10,Ice10)\n", - "\n", - "#at Vce=7 V\n", - "Vce11=[7,7]\n", - "Ice11=[0,2.5]\n", - "a11=plot(Vce11,Ice11)\n", - "#at Vce=10 V\n", - "Vce12=[10,10]\n", - "Ice12=[0,2.2]\n", - "a12=plot(Vce12,Ice12)\n", - "\n", - "q2=plot(8.5,2.15,marker='o',label='Q point')\n", - "legend()\n", - "\n", - "xlim(0,18)\n", - "ylim(0,8)\n", - "xlabel(\"$Vce(volt)$\")\n", - "ylabel(\"$Ic(mA)$\")\n", - "show(a0)\n", - "show(q2)\n", - "show(a1)\n", - "show(a2)\n", - "show(a3)\n", - "show(a4)\n", - "show(a5)\n", - "show(a6)\n", - "show(a7)\n", - "show(a8)\n", - "show(a9)\n", - "show(a10)\n", - "show(a11)\n", - "show(a12)\n", - "\n", - "#C) plot\n", - "#at Vce=0 V\n", - "Vbe1=[0.715,0.730,0.735]\n", - "Ib1=[10,20,30]\n", - "ab1=plot(Vbe1,Ib1)\n", - "q3=plot(0.722,15,marker='o',label='Q Point')\n", - "legend()\n", - "\n", - "#at Vce=8.5 V\n", - "Vbe2=[0.710,0.715,0.730,0.735]\n", - "Ib2=[5,10,20,26]\n", - "ab2=plot(Vbe2,Ib2)\n", - "\n", - "#at Vce=20 V\n", - "Vbe3=[0.6,0.715,0.730,0.740]\n", - "Ib3=[0,10,15,22]\n", - "ab3=plot(Vbe3,Ib3)\n", - "\n", - "#at Ib=10 microA\n", - "Vbe4=[0,0.7,0.75]\n", - "Ib4=[10,10,10]\n", - "ab4=plot(Vbe4,Ib4)\n", - "\n", - "#at Ib=15 microA\n", - "Vbe5=[0,0.7,0.75]\n", - "Ib5=[15,15,15]\n", - "ab5=plot(Vbe5,Ib5)\n", - "#at Ib=20microA\n", - "Vbe6=[0,0.7,0.75]\n", - "Ib6=[20,20,20]\n", - "ab6=plot(Vbe6,Ib6)\n", - " \n", - "xlim(0,0.8)\n", - "ylim(0,35)\n", - "xlabel(\"$Vbe(volt)$\")\n", - "ylabel(\"$Ib(microA)$\")\n", - "show(ab1)\n", - "show(q3)\n", - "show(ab2)\n", - "show(ab3)\n", - "show(ab4)\n", - "show(ab5)\n", - "show(ab6)\n", - "\n", - "#d) plot\n", - "#at Vce=0 V\n", - "Vbe1=[0.6,0.7,0.72,0.73]\n", - "Ib1=[0,6,15,30]\n", - "ab_1=plot(Vbe1,Ib1)\n", - "q4=plot(0.72,15,marker='o',label='$Q Point$')\n", - "legend()\n", - "#Vce=20 V\n", - "Vbe2=[0.6,0.7,0.72,0.73,0.74]\n", - "Ib2=[0,6,10,15,28]\n", - "ab_2=plot(Vbe2,Ib2)\n", - "#At Ib=15 microA\n", - "Vbe3=[0,0.72,0.73]\n", - "Ib3=[15,15,15]\n", - "ab_3=plot(Vbe3,Ib3)\n", - "\n", - "#At Vbe=0.72\n", - "Vbe4=[0.72,0.72]\n", - "Ib4=[0,15]\n", - "ab_4=plot(Vbe4,Ib4)\n", - "#At Vbe=0.73\n", - "Vbe5=[0.73,0.73]\n", - "Ib5=[0,15]\n", - "ab_5=plot(Vbe5,Ib5)\n", - "\n", - "xlim(0,0.8)\n", - "ylim(0,35)\n", - "xlabel(\"$Vbe(volt)$\")\n", - "ylabel(\"$Ib(microA)$\")\n", - "show(ab_1)\n", - "show(q4)\n", - "show(ab_2)\n", - "show(ab_3)\n" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "hfe = 100.0\n", - "hoe = 33.33 microS\n", - "hie = 1.5 kohm\n", - "hre = 0.0005\n" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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5uRm+vq5ZiuBilIwzjxoihFjO7vcDcBYqjQqKdgW8VOHw8gJCQoArV24gMTHR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\nXLli0bpAO3bsMCywZY1z584Zlg4/fvw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AYGAgfvrpJ0gkEhgMBkyZMgW//PILpkyZYvcxVCpzo9N+DaC1tQgiURwEgmDL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\nutQyasOdFi1axOLj45lQKGRyuZx98sk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VOo7Z4WGuRNQpff9f6+GRNA+Fn6di1MwAqeOYJRYEEXU6qqhlGPrvlSjffgDe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\nREQasSCIiEgjFgQREWnEgiAiIo3+P8ixPOMqV0GTAAAAAElFTkSuQmCC\n" - } - ], - "prompt_number": 50 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example 8.2 Page no.276" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "ri=2000.0 #Ohms, input resistance\n", - "Rb=150000.0 #Ohms, base resistance\n", - "\n", - "#Calculation\n", - "Zin=Rb*ri/(Rb+ri)\n", - "\n", - "#result\n", - "print \" The Input Impedance of the Amplifier is Zin = \",round(Zin/10**3,3),\"kohm\"\n", - "\n", - "#(b)find the voltage gain (Av)\n", - "Beeta=100\n", - "ri=2000.0 #Ohms\n", - "Rac=5000.0 #Ohms Resistance on outputside\n", - "\n", - "#Calculation\n", - "\n", - "Av=Beeta*Rac/ri\n", - "#result\n", - "\n", - "print \" The Voltage Gain of the Amplifier with phase of pi/2 is \",Av\n", - "#(c) find the current gain (Ai)\n", - "#Let input Current ib=2A\n", - "ib=2 #A, Assumption\n", - "io=100*ib \n", - "\n", - "#Calculation\n", - "Ai=io/ib # Current Gain\n", - "#result\n", - "print \"The Current Gain of the Amplifier is Ai = \",Ai" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - " The Input Impedance of the Amplifier is Zin = 1.974 kohm\n", - " The Voltage Gain of the Amplifier with phase of pi/2 is 250.0\n", - "The Current Gain of the Amplifier is Ai = 100\n" - ] - } - ], - "prompt_number": 7 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example 8.3 Page no.277" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "Bac=150.0 #ac current gain\n", - "rin=2000.0 #Ohms, input resistance\n", - "R1=4700.00 #Ohms, resistance\n", - "R2=12000.0 #Ohms resistance\n", - "\n", - "#Calculation\n", - "Rac=R1*R2/(R1+R2) # ohm , resistance\n", - "Av=Bac*Rac/rin\n", - "#result\n", - "print \"a\"\n", - "print \"the Voltage Gain of the Amplifier with phase of pi/2 is\",round(Av,1)\n", - "\n", - "#(b)find input impedance\n", - "R3=75000.0 #Ohms\n", - "R4=7500.00 #Ohms\n", - "\n", - "#Calculation\n", - "Zin=R3*R4*rin/(R3*R4+R4*rin+rin*R3)\n", - "\n", - "#result\n", - "print \"b\"\n", - "print \"The Input Impedance of the Amplifier is Zin = \",round(Zin/10**3,1),\"kohm\"\n", - "\n", - "#(c)Q point\n", - "\n", - "Vcc=15 #V\n", - "R1=75000.0 #Ohms\n", - "R2=7500.00 #Ohms\n", - "Rc=4700.0 #Ohms\n", - "Re=1200.0 #Ohms\n", - "\n", - "#Calculation\n", - "Vb=Vcc*R2/(R1+R2) #V, base voltage\n", - "Ve=Vb\n", - "Ie=Ve/Re #A, emitter current\n", - "Vce=Vcc-(Rc+Re)*Ie #V, collector emitter voltage\n", - "#result\n", - "print \"c\"\n", - "print \"voltage at the base is \",round(Vb,2),\"V\"\n", - "print \"Emitter current is \",round(Ie/10**(-3),2),\"mA\"\n", - "print \"The collector to emitter voltage is\",round(Vce,2),\"v\"" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "a\n", - "the Voltage Gain of the Amplifier with phase of pi/2 is 253.3\n", - "b\n", - "The Input Impedance of the Amplifier is Zin = 1.5 kohm\n", - "c\n", - "voltage at the base is 1.36 V\n", - "Emitter current is 1.14 mA\n", - "The collector to emitter voltage is 8.3 v\n" - ] - } - ], - "prompt_number": 7 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example 8.4 Page no.283" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "u=20 #amplification factor\n", - "Rl=10*10**3 #Ohms, load resistance\n", - "rp=10*10**3 #Ohms, resistance\n", - "#Calculation\n", - "A=u*Rl/(rp+Rl) #V, voltage gain\n", - "#result\n", - "print \" The Voltage Gain of the Amplifier with phase of pi/2 is\",A" - ], - "language": "python", - "metadata": {}, - "outputs": [] - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example 8.5 Page no.286" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "gm=3000*10**(-6) #S, transconductance\n", - "Rl=22*10**3 #Ohms, resistance\n", - "rp=300*10**3 #Ohms, resistance \n", - "\n", - "#Calculation\n", - "#A=-(gm*Rl/(1+(Rl/rp))), For rp>>Rl we get\n", - "A=gm*Rl #with Phase of 180 degrees\n", - "# Results \n", - "print \"The Gain of the Amplifier with phase of pi/2 is\",A" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "The Gain of the Amplifier with phase of pi/2 is 66.0\n" - ] - } - ], - "prompt_number": 8 - }, - { - "cell_type": "heading", - "level": 3, - "metadata": {}, - "source": [ - "Example 8.6 Page no.286" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "\n", - "Rl=12000.0 #Ohms, load resistance\n", - "Rg=1000000.0 #Ohms, given resistance\n", - "Rs=1*10**3 #Ohms, given resistance\n", - "Cs=25*10**(-6) #F. capacitance\n", - "u=20 #amplification factor\n", - "rd=10**5 #Ohms, dynamic drain resistance\n", - "vi=0.1 #V, input voltage\n", - "f=1*10**3 #Hz, frequency\n", - "\n", - "#Calculation\n", - "import math\n", - "Xcs=1/(2*math.pi*f*Cs)\n", - "#As Xcs comes out to be much smaller than Rs, Rs is completely bypassed\n", - "A=u*Rl/(Rl+rd)\n", - "vo=A*vi\n", - "# Result\n", - "print \" The Output Signal Voltage of the Amplifier is vo = \",round(vo,3),\"v\"\n" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - " The Output Signal Voltage of the Amplifier is vo = 0.214 v\n" - ] - } - ], - "prompt_number": 2 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} - } - ] -}
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