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@@ -117,12 +117,21 @@ resonances 60Hz,142Hz,414Hz,231Hz\\
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}
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}
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The bode plot drops as expected at approx. 40dB/dec. (due to $F=m\ddot{x}$)
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Here a example to roughly calculate at which frequency the motor moves 1um at 2A current:\\
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1curr\_bits is approx. 1mA. At 0dB 1mA moves a sine of 1um.\\
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10dB=factor 10, 20dB=factor 100, 30dB=factor 1000, 3dB $\approx$ factor 2\\
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A factor 2000 is $1000 \cdot 2 =30dB+3dB=33dB$.
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Out of the bode plot we can read approx.:\\
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Motor 1: -33dB at 130Hz\\
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Motor 2: -33dB at 84Hz
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\subsection{Closed Loop}
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\subsubsection{Deltatau schematics}
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\includegraphics[scale=.7]{/home/zamofing_t/Documents/doc-ext/DeltaTau/UsrMan290.png}
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\includegraphics[scale=.2]{/home/zamofing_t/Documents/doc-ext/DeltaTau/ServoBlockDiag.png}
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\\
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Closed loops have been measured with the following control loop settings.
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@@ -132,7 +141,6 @@ motor_servo(mot=2,Kp=22,Kvfb=350,Ki=0.02,Kvff=240,Kaff=1500,MaxInt=1000)
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\end{verbatim}
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\subsubsection{chirp sine closed loop}
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@@ -175,7 +183,6 @@ The parameters for that chirp is:\\
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Moving 5um with frequencies from 10 to 220Hz\\
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$\rightarrow$ at frequencies above 200 Hz, the current increses up to 2 amps, and the the following error kicks in\\
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$\rightarrow$ The closed loop response becomes bad above 20Hz (motor 1 ca. -10\%, motor 2 +5\% )\\
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$\rightarrow$ Moving 1um at 1kHz seems to consume a current of about 2 amps.\\
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%→n times higher mass → n times lower frequency for same amplitude response
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@@ -183,6 +190,47 @@ $\rightarrow$ Moving 1um at 1kHz seems to consume a current of about 2 amps.\\
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%1um at 12Hz with 1 mA →with 2000mA → sqrt(2000)*12Hz=540Hz
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%
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%A very simplified transfer function of the system is G(s)=k/s²
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\FloatBarrier
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\subsubsection{using advanced Deltatau Servo Loop}
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For now only following settings of the servo loop are used:Kp, Kvfb, Ki, Kvff, Kaff, MaxInt.\\
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The standard PID servo loop has some additional features, that were not yet used, especially the polynomial filters.
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\includegraphics[scale=.2]{/home/zamofing_t/Documents/doc-ext/DeltaTau/ServoBlockDiag.png}
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\\
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\cite[293]{PMACusr} shows details about the standard servo loop but unfortunately there are errors in documentation and the explanations are not really helpful. Hopefully the implementation is correct.\\
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\textbf{Polynomial Filters:}
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\begin{description}
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\item[A:] $Ka_0+Ka_1z^{-1}+\ldots+Ka_1z^{-7}$
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\item[B:] $Kb_0+Kb_1z^{-1}+\ldots+Kb_1z^{-7}$
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\item[C/D:] $\frac{Kc_0+Kc_1z^{-1}+\ldots+Kc_1z^{-7}}
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{Kd_0+Kd_1z^{-1}+\ldots+Kd_1z^{-7}}$
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\item[E:] $\frac{1}{Ke_0+Ke_1z^{-1}+Ke_1z^{-2}}$
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\item[F:] $\frac{1}{Kf_0+Kf_1z^{-1}+Kf_1z^{-2}}$
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\end{description}
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Filters A, B, C, and D are 7th-order polynomials.
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if \texttt{Motor[x].Servo.SwPoly7} is set to its default value of 0, these only execute as 2nd-order polynomials, saving computation time.
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If this element is set to 1, these execute as full 7th-order polynomials.
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Filters E and F are always 2nd-order polynomials.\\
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The flat amplitude in figure \ref{fig:mot_open} at low frequencies is mostly the result of the static and viscose friction and not of a linear mechanical spring and element as one could suggest out of the bode plot.\\
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The Value of $K_{fff}$ is used to compensate the non linear static friction. It can be estimated out of the bode plot at low frequencies. It is a non linear element, because it only depends on the sign if the velocity.\\
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$K_{vff}$ is used to compensate the linear viscose friction.\\
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\textbf{TODO:}\\
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Make simulations in MATLAB. Set C/D filter to compensate resonance and the current loop.\\
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This sshould be mostly the inverse of the figures: \ref{fig:mot1_chirp} and \ref{fig:mot2_chirp}.\\
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Use $K_{fff}$
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\newpage
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\section{Modeling the system}
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\subsection{Electrical model}
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