matlab 基础理论4Frequency Response Analysis and Design tutorial.pdfVIP

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matlab 基础理论4Frequency Response Analysis and Design tutorial.pdf

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matlab 基础理论4Frequency Response Analysis and Design tutorial

CTM: Frequency Response Tutorial I. Bode plots [Gain and phase marginBandwidth frequency | | II. The Nyquist diagram[Closed loop stabilityGain marginPhase margin | | ] Key matlab commands used in these tutorial are cloop physical data. CTM: Frequency Response Tutorial Nyquist plot). More information is available on Bode Plots use the Matlab bode command. For example, bode (50,[1 9 30 40]) 50 s^3 + 9 s^2 + 30 s + 40 the magnitude is given as the gain in decibels. Click here to see a few simple Bode plots. CTM: Frequency Response Tutorial Gain and Phase Margin Lets say that we have the following system: The phase margin unstable. phase w*time_delay (in radians/second). phase margins on a Bode plot: CTM: Frequency Response Tutorial the command bode CTM: Frequency Response Tutorial entering the command bode (100*50,[1 9 30 40]) depending on the scale used): margin margin (50,[1 9 30 40]) CTM: Frequency Response Tutorial Bandwidth Frequency on our Bandwidth Frequency page. CTM: Frequency Response Tutorial 1 s^2 + 0.5 s + 1 bode (1, [1 0.5 1 ]) (almost exactly out-of-phase). We can use thelsim sinusoidal inputs. First, consider a sinusoidal input with a clearly (ignoring the transient response). CTM: Frequency Response Tutorial w= 0.3; num = 1; den = [1 0.5 1 ]; t=0:0.1:100; u = sin(w*t); [y,x] = lsim (num,den,u,t); plot (t,y,t,u) axis ([50,100,-2,2]) expected. However, if we set the frequency of the input w = 3; num = 1; den = [1 0.5 1 ]; t=0:0.1:100; u = sin(w*t); [y,x] = lsim (num,den,u,t); plot (t,y,t,u)