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Berkeley ELENG 105 - Bode Plots

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Lecture 3: Bode PlotsGet to know your logs!Bode Plot OverviewSummary of Individual FactorsExampleBreaking Down the MagnitudeBreaking Down the PhaseMagnitude Bode Plot: DC ZeroPhase Bode Plot: DC ZeroMagnitude Bode Plot: Add First PolePhase Bode Plot: Add First PoleMagnitude Bode Plot: Add 2nd ZeroPhase Bode Plot: Add 2nd ZeroMagnitude Bode Plot: Add 2nd PolePhase Bode Plot: Add 2nd PoleComparison to “Actual” Mag PlotComparison to “Actual” Phase PlotWhy do I say “actual”?Don’t always believe a computer!Second Order Transfer FunctionSeries LCR AnalysisSlide 22Poles of 2nd Order Transfer FunctionFinding the poles…Resonance without LossMagnitude ResponseDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 2Lecture 3: Bode PlotsProf. NiknejadDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadGet to know your logs!Engineers are very conservative. A “margin” of 3dB is a factor of 2 (power)!Knowing a few logs by memory can help you calculate logs of different ratios by employing properties of log. For instance, knowing that the ratio of 2 is 3 dB, what’s the ratio of 4?Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadBode Plot OverviewTechnique for estimating a complicated transfer function (several poles and zeros) quicklyBreak frequencies :)1()1)(1()1()1)(1()()(22210pmppznzzKjjjjjjjGHii1Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadSummary of Individual Factors Simple Pole:Simple Zero:DC Zero:DC Pole:j11j1jj11dB0dB0dB0dB0909090901Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadExampleConsider the following transfer functionBreak frequencies: invert time constants)1)(1()1(10)(3125jjjjjHps100ns10ns100321Grad/s10Mrad/s100Mrad/s10321)1)(1()1(10)(3125jjjjjHDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadBreaking Down the MagnitudeRecall log of products is sum of logsLet’s plot each factor separately and add them graphically)1)(1()1(10log20)(3125dBjjjjjH31251log201log201log2010log20jjjjDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadBreaking Down the PhaseSinceLet’s plot each factor separately and add them graphically)1)(1()1(10)(3125jjjjjHbaba 312511110)(jjjjjHDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadMagnitude Bode Plot: DC Zero80206040-20-60-80-4010410510610710810910101011510j0 dBDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadPhase Bode Plot: DC Zero1804513590-45-135-180-9010410510610710810910101011510jDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadMagnitude Bode Plot: Add First Pole80206040-20-60-80-4010410510610710810910101011dB510jdB71011jMrad/s101Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadPhase Bode Plot: Add First Pole1804513590-45-135-180-9010410510610710810910101011510j71011jDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadMagnitude Bode Plot: Add 2nd Zero80206040-20-60-80-4010410510610710810910101011dB8101jMrad/s1002Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadPhase Bode Plot: Add 2nd Zero1804513590-45-135-180-90104105106107108109101010118101jDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadMagnitude Bode Plot: Add 2nd Pole80206040-20-60-80-4010410510610710810910101011dB101011jGrad/s103Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadPhase Bode Plot: Add 2nd Pole1804513590-45-135-180-901041051061071081091010101110101jDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadComparison to “Actual” Mag PlotDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadComparison to “Actual” Phase PlotDepartment of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadWhy do I say “actual”?I plotted the transfer characteristics with MathematicaThe range of frequency for the plot is 6 orders of magnitude. The program has to find the “hot spots” in order to plot the function. Near the hot spots, more points are plotted. In between hot spots, the function is interpolated. If you pick the wrong points, you’ll end up with the wrong plot:mag = LogLinearPlot[20*Log[10, Abs[H[x]]], {x, 10^4, 10^11},PlotPoints -> 10000, Frame -> True,PlotStyle -> Thickness[.005], ImageSize -> 600,GridLines -> Automatic, PlotRange -> {{10^4, 10^11}, {-20, 100}} ]Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadDon’t always believe a computer!Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadSecond Order Transfer FunctionThe series resonant circuit is one of the most important elementary circuits:The physics describes not only physical LCR circuits, but also approximates mechanical resonance (mass-spring, pendulum, molecular resonance, microwave cavities, transmission lines, buildings, bridges, …)Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadSeries LCR AnalysisWith phasor analysis, this circuit is readily analyzed RICjILjIVs1RRCjLjVRIVRCjLjIVss110+Vo−Department of EECS University of California, BerkeleyEECS 105 Fall 2003, Lecture 3 Prof. A. NiknejadSecond Order


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Berkeley ELENG 105 - Bode Plots

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