Aufgaben:Exercise 2.3Z: Asymmetrical Characteristic Operation: Difference between revisions

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{{quiz-Header|Buchseite=Lineare zeitinvariante Systeme/Nichtlineare Verzerrungen
{{quiz-Header|Buchseite=Linear_and_Time_Invariant_Systems/Nonlinear_Distortion}}
}}


[[File:P_ID895__LZI_Z_2_3.png|right|frame|Einfluss nichtlinearer Verzerrungen]]
[[File:P_ID895__LZI_Z_2_3.png|right|frame|System and signal examples]]
Am Eingang eines Systems $\rm S$ liegt das Cosinussignal
The cosine signal
:$$x(t) =  A \cdot \cos(\omega_0 t)$$
:$$x(t) =  A \cdot \cos(\omega_0 t)$$


an, wobei für die Amplitude stets $A = 0.5$ gelten soll. Das System $\rm S$ besteht
is applied to the input of a system  $S$  where  $A = 0.5$  shall always hold for the amplitude.  The system  $S$  consists of
*aus der Addition eines Gleichanteils $C$,  
*the addition of a direct (DC) component  $C$,  
*einer Nichtlinearität mit der Kennlinie
*a nonlinearity with the characteristic curve
:$$g(x) =  \sin(x) \hspace{0.05cm} \approx x \hspace{0.05cm} - \hspace{-0.1cm}{x^3}\hspace{-0.1cm}/{6} = g_3(x),$$
:$$g(x) =  \sin(x) \hspace{0.05cm} \approx x -{x^3}\hspace{-0.1cm}/{6} = g_3(x),$$
*sowie einem idealen Hochpass, der alle Frequenzen bis auf ein Gleichsignal $(f = 0)$ unverfälscht passieren lässt.
*as well as an ideal high-pass filter that allows all frequencies to pass unaltered except for a direct (DC) signal  $(f = 0)$.




Das Ausgangssignal des Gesamtsystems kann allgemein in folgender Form dargestellt werden:
The output signal of the overall system can generally be depicted as follows:
:$$y(t) =  A_0 + A_1 \cdot \cos(\omega_0 t) + A_2 \cdot \cos(2\omega_0 t) +
:$$y(t) =  A_0 + A_1 \cdot \cos(\omega_0 t) + A_2 \cdot \cos(2\omega_0 t) +A_3 \cdot \cos(3\omega_0 t) + \hspace{0.05cm}\text{...}$$
A_3 \cdot \cos(3\omega_0 t) + \hspace{0.05cm}\text{...}$$


The sinusoidal characteristic curve  $g(x)$  is to be approximated by the cubic approximation $g_3(x)$  throughout the whole problem according to the above equation.


Die sinusförmige Kennlinie $g(x)$ soll in der gesamten Aufgabe entsprechend der obigen Gleichung durch die kubische Näherung $g_3(x)$ approximiert werden. Für $C = 0$ ergäbe sich somit die exakt gleiche Konstellation wie in [[Aufgaben:2.3_Sinusförmige_Kennlinie|Aufgabe 2.3]], in deren Unterpunkt (2) der Klirrfaktor berechnet wurde:  
This would result in exactly the same constellation as in  [[Aufgaben:Exercise_2.3:_Sinusoidal_Characteristic|Exercise 2.3]]  for  $C = 0$  in whose subtask  '''(2)'''  the distortion factor was calculated:  
*$K = K_{g3} \approx 1.08 \%$ für $A = 0.5$,
*$K = K_{g3} \approx 1.08 \%$  für  $A = 0.5$,
*$K = K_{g3} \approx 4.76 \%$ für $A = 1.0$.
*$K = K_{g3} \approx 4.76 \%$  für  $A = 1.0$.




Unter Berücksichtigung der Konstanten $A = C = 0.5$ gilt für das Eingangssignal der Nichtlinearität:
Considering the constants  $A = C = 0.5$  the following holds for the input signal of the nonlinearity:
:$$x_C(t) =  C + A \cdot \cos(\omega_0 t) = {1}/{2} + {1}/{2}\cdot \cos(\omega_0 t).$$
:$$x_{\rm C}(t) =  C + A \cdot \cos(\omega_0 t) = {1}/{2} + {1}/{2}\cdot \cos(\omega_0 t).$$


Die Kennlinie wird also unsymmetrisch betrieben mit Werten zwischen $0$ und $1$. In obiger Grafik sind zusätzlich die Signale $x_{\rm C}(t)$ und $y_{\rm C}(t)$ direkt vor und nach der Kennlinie $g(x)$ eingezeichnet.
*So,  the characteristic curve is operated asymmetrically with values between  $0$  and  $1$.  
*In the above graph,  the signals  $x_{\rm C}(t)$  and  $y_{\rm C}(t)$  are plotted additionally directly before and after the characteristic curve  $g(x)$ .




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''Hinweise:''  
 
*Die Aufgabe bezieht sich auf das Kapitel [[Lineare_zeitinvariante_Systeme/Nichtlineare_Verzerrungen|Nichtlineare Verzerrungen]].
 
 
''Please note:''  
*The exercise belongs to the chapter  [[Linear_and_Time_Invariant_Systems/Nonlinear_Distortion|Nonlinear Distortions]].
   
   
*Als bekannt vorausgesetzt werden die folgenden trigonometrischen Beziehungen:
*The following trigonometric relations are assumed to be known:
:$$\cos^2(\alpha) =  {1}/{2}  + {1}/{2}
:$$\cos^2(\alpha) =  {1}/{2}  + {1}/{2}\cdot \cos(2\alpha)\hspace{0.05cm}, \hspace{0.3cm}\cos^3(\alpha) = {3}/{4} \cdot \cos(\alpha) + {1}/{4} \cdot \cos(3\alpha)\hspace{0.05cm}.$$
\cdot \cos(2\alpha)\hspace{0.05cm}, \hspace{0.3cm}
\cos^3(\alpha) = {3}/{4} \cdot \cos(\alpha) + {1}/{4} \cdot \cos(3\alpha)
\hspace{0.05cm}.$$




===Fragebogen===
===Questions===


<quiz display=simple>
<quiz display=simple>
{Berechnen Sie das Ausgangssignal $y(t)$ unter Berücksichtigung des Hochpasses. Wie lautet der Gleichsignalanteil $A_0$?
{Compute the output signal&nbsp; $y(t)$&nbsp; considering the high-pass filter.&nbsp; What is the direct (DC) signal component&nbsp; $A_0$?
|type="{}"}
|type="{}"}
$A_0 \ = \ $ { 0. }
$A_0 \ = \ $ { 0. }




{Geben Sie die weiteren Fourierkoeffizienten des Signals $y(t)$ an.
{State the other Fourier coefficients of the signal&nbsp; $y(t)$&nbsp;.
|type="{}"}
|type="{}"}
$A_1  \ = \ $  { 0.422 3% }
$A_1  \ = \ $  { 0.422 3% }
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{Berechnen Sie den Klirrfaktor des Gesamtsystems.
{Compute the distortion factor of the overall system.
|type="{}"}
|type="{}"}
$K  \ = \ $  { 7.51 3% } $\ \%$
$K  \ = \ $  { 7.51 3% } $\ \%$




{Berechnen Sie den Maximal&ndash; und den Minimalwert des Signals $y(t)$.
{Compute the maximum and the minimum value of the signal&nbsp; $y(t)$.
|type="{}"}
|type="{}"}
$y_\text{max}  \ = \ $  { 0.386 3% }
$y_\text{max}  \ = \ $  { 0.386 3% }
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</quiz>
</quiz>


===Musterlösung===
===Solution===
{{ML-Kopf}}
{{ML-Kopf}}
'''(1)'''&nbsp; Unter Berücksichtigung der kubischen Näherung $g_3(x)$ erhält man vor dem Hochpass:
'''(1)'''&nbsp; Considering the cubic approximation&nbsp;$g_3(x)$&nbsp; the following is obtained before the high-pass filter:
:$$y_{\rm C}(t) = g_3\left[x_{\rm C}(t)\right] = \left[ C + A \cdot \cos(\omega_0
:$$y_{\rm C}(t) = g_3\big[x_{\rm C}(t)\big] = \big[ C + A \cdot \cos(\omega_0t)\big] - {1}/{6} \cdot \big[ C + A \cdot \cos(\omega_0t)\big]^3 $$
t)\right] - {1}/{6} \cdot \left[ C + A \cdot \cos(\omega_0
:$$\Rightarrow \;  y_{\rm C}(t) =C + A \cdot \cos(\omega_0t) - {1}/{6} \cdot \big[ C^3 + 3 \cdot C^2 \cdot A \cdot \cos(\omega_0t) +  \hspace{0.09cm}3 \cdot C  \cdot A^2 \cdot \cos^2(\omega_0t) + A^3 \cdot \cos^3(\omega_0  t)\big].$$
t)\right]^3 $$
:$$\Rightarrow \;  y_{\rm C}(t) =  
  C + A \cdot \cos(\omega_0
t) - {1}/{6} \cdot [ C^3 + 3 \cdot C^2 \cdot A \cdot \cos(\omega_0
t) +  \hspace{0.09cm}3 \cdot C  \cdot A^2 \cdot \cos^2(\omega_0
t) + A^3 \cdot \cos^3(\omega_0  t)].$$


Das Signal $y_{\rm C}(t)$ beinhaltet eine Gleichkomponente $C- C^3/6$, die aufgrund des Hochpasses im Signal $y(t)$ nicht mehr enthalten ist: &nbsp; $\underline{ A_0 = 0}$.
*The signal&nbsp; $y_{\rm C}(t)$&nbsp; contains a direct (DC) component&nbsp; $C - C^3/6$&nbsp; which is no longer included in the signal&nbsp; $y(t)$&nbsp; due to the high-pass filter:
:$$\underline{ A_0 = 0}.$$




'''(2)'''&nbsp; Bei Anwendung der angegebenen trigonometrischen Beziehungen erhält man folgende Koeffizienten mit $A= C = 0.5$:
'''(2)'''&nbsp; Applying the given trigonometric relations the following coefficients with&nbsp; $A= C = 0.5$&nbsp; are obtained:
:$$A_1 = A - {1}/{6}\cdot 3 \cdot C^2 \cdot A  - {1}/{6} cdot {3}/{4}\cdot
:$$A_1 = A - {1}/{6}\cdot 3 \cdot C^2 \cdot A  - {1}/{6} \cdot {3}/{4}\cdotA^3 = {1}/{2} - {1}/{16} - {1}/{64} = {27}/{64}\hspace{0.15cm}\underline{ \approx 0.422},$$
A^3 = {1}/{2} - {1}/{16} - {1}/{64} = {27}/{64}
:$$A_2 = - {1}/{6}\cdot 3 \cdot {1}/{2}\cdotC \cdot A^2 = - \frac{1}{32}  \hspace{0.15cm}\underline{\approx -0.031},$$
\hspace{0.15cm}\underline{ \approx 0.422},$$
:$$A_3 = - {1}/{6}\cdot  \frac{1}{4}\cdotA^3 = - {1}/{192}  \hspace{0.15cm}\underline{\approx -0.005}.$$
:$$A_2 = - {1}/{6}\cdot 3 \cdot {1}/{2}\cdot
C \cdot A^2 = - \frac{1}{32}  \hspace{0.15cm}\underline{\approx -0.031},$$
:$$A_3 = - {1}/{6}\cdot  \frac{1}{4}\cdot
  A^3 = - {1}/{192}  \hspace{0.15cm}\underline{\approx -0.005}.$$


Terme höherer Ordnung kommen nicht vor. Somit ist auch $\underline{A_4  = 0}$.
*Higher order terms do not occur.&nbsp; Thus, &nbsp; $\underline{A_4  = 0}$&nbsp; holds.




'''(3)'''&nbsp; Die Klirrfaktoren zweiter und dritter Ordnung ergeben sich bei dieser Aufgabe zu $K_2  = 2/27 \approx 7.41\%$ und $K_3  = 1/81 \approx 1.23\%$ Damit ist der Gesamtklirrfaktor
 
'''(3)'''&nbsp; In this task,&nbsp; the higher order distortion factors are&nbsp; $K_2  = 2/27 \approx 7.41\%$&nbsp; and&nbsp; $K_3  = 1/81 \approx 1.23\%$.
*Thereby, the following is obtained for the overall distortion factor:
:$$K = \sqrt{K_2^2 + K_3^2} \hspace{0.15cm}\underline{\approx7.51 \%}.$$
:$$K = \sqrt{K_2^2 + K_3^2} \hspace{0.15cm}\underline{\approx7.51 \%}.$$




'''(4)'''&nbsp; Der Maximalwert tritt zum Zeitpunkt $t = 0$ und bei Vielfachen von $T$ auf:
:$$y_{\rm max}= y(t=0) = A_1 + A_2 + A_3 = 0.422 -0.031 -0.005 \hspace{0.15cm}\underline{=
0.386}.$$


Die Minimalwerte liegen genau in der Mitte zwischen den Maxima und es gilt:
'''(4)'''&nbsp; The maximum value occurs at time&nbsp; $t = 0$&nbsp; and at multiples of&nbsp; $T$&nbsp;:
:$$y_{\rm min}= - A_1 + A_2 - A_3 = -0.422 -0.031 +0.005\hspace{0.15cm}\underline{ =
:$$y_{\rm max}= y(t=0) = A_1 + A_2 + A_3 = 0.422 -0.031 -0.005 \hspace{0.15cm}\underline{=0.386}.$$
-0.448}.$$
 
*The minimum values are located exactly in the middle between two maxima and it holds that:
:$$y_{\rm min}= - A_1 + A_2 - A_3 = -0.422 -0.031 +0.005\hspace{0.15cm}\underline{ =-0.448}.$$


Das Signal $y(t)$ ist gegenüber dem in der Skizze auf der Angabenseite eingezeichnetem Signal um $0.448$ nach unten verschoben. Dieser Signalwert ergibt sich aus folgender Gleichung mit $A = C = 1/2$:
*The signal&nbsp; $y(t)$&nbsp; is shifted downward by&nbsp; $0.448$&nbsp; compared to the signal&nbsp; drawn in the sketch on the information page.  
*This signal value is obtained from the following equation considering&nbsp; $A = C = 1/2$:
:$$C - \frac{C \cdot A^2}{4}- \frac{C^3}{6} =  {1}/{2} - {1}/{32}-  {1}/{48}  = 0.448.$$
:$$C - \frac{C \cdot A^2}{4}- \frac{C^3}{6} =  {1}/{2} - {1}/{32}-  {1}/{48}  = 0.448.$$
{{ML-Fuß}}
{{ML-Fuß}}
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[[Category:Aufgaben zu Lineare zeitinvariante Systeme|^2.2 Nichtlineare Verzerrungen^]]
[[Category:Linear and Time-Invariant Systems: Exercises|^2.2 Nonlinear Distortions^]]
[[de:Aufgaben:Aufgabe 2.3Z: Kennlinienbetrieb asymmetrisch]]

Latest revision as of 17:54, 16 March 2026

System and signal examples

The cosine signal

$$x(t) = A \cdot \cos(\omega_0 t)$$

is applied to the input of a system  $S$  where  $A = 0.5$  shall always hold for the amplitude.  The system  $S$  consists of

  • the addition of a direct (DC) component  $C$,
  • a nonlinearity with the characteristic curve
$$g(x) = \sin(x) \hspace{0.05cm} \approx x -{x^3}\hspace{-0.1cm}/{6} = g_3(x),$$
  • as well as an ideal high-pass filter that allows all frequencies to pass unaltered except for a direct (DC) signal  $(f = 0)$.


The output signal of the overall system can generally be depicted as follows:

$$y(t) = A_0 + A_1 \cdot \cos(\omega_0 t) + A_2 \cdot \cos(2\omega_0 t) +A_3 \cdot \cos(3\omega_0 t) + \hspace{0.05cm}\text{...}$$

The sinusoidal characteristic curve  $g(x)$  is to be approximated by the cubic approximation $g_3(x)$  throughout the whole problem according to the above equation.

This would result in exactly the same constellation as in  Exercise 2.3  for  $C = 0$  in whose subtask  (2)  the distortion factor was calculated:

  • $K = K_{g3} \approx 1.08 \%$  für  $A = 0.5$,
  • $K = K_{g3} \approx 4.76 \%$  für  $A = 1.0$.


Considering the constants  $A = C = 0.5$  the following holds for the input signal of the nonlinearity:

$$x_{\rm C}(t) = C + A \cdot \cos(\omega_0 t) = {1}/{2} + {1}/{2}\cdot \cos(\omega_0 t).$$
  • So,  the characteristic curve is operated asymmetrically with values between  $0$  and  $1$.
  • In the above graph,  the signals  $x_{\rm C}(t)$  and  $y_{\rm C}(t)$  are plotted additionally directly before and after the characteristic curve  $g(x)$ .





Please note:

  • The following trigonometric relations are assumed to be known:
$$\cos^2(\alpha) = {1}/{2} + {1}/{2}\cdot \cos(2\alpha)\hspace{0.05cm}, \hspace{0.3cm}\cos^3(\alpha) = {3}/{4} \cdot \cos(\alpha) + {1}/{4} \cdot \cos(3\alpha)\hspace{0.05cm}.$$


Questions

1 Compute the output signal  $y(t)$  considering the high-pass filter.  What is the direct (DC) signal component  $A_0$?

$A_0 \ = \ $

2 State the other Fourier coefficients of the signal  $y(t)$ .

$A_1 \ = \ $
$A_2 \ = \ $
$A_3 \ = \ $
$A_4 \ = \ $

3 Compute the distortion factor of the overall system.

$K \ = \ $ $\ \%$

4 Compute the maximum and the minimum value of the signal  $y(t)$.

$y_\text{max} \ = \ $
$y_\text{min} \ = \ $


Solution

(1)  Considering the cubic approximation $g_3(x)$  the following is obtained before the high-pass filter:

$$y_{\rm C}(t) = g_3\big[x_{\rm C}(t)\big] = \big[ C + A \cdot \cos(\omega_0t)\big] - {1}/{6} \cdot \big[ C + A \cdot \cos(\omega_0t)\big]^3 $$
$$\Rightarrow \; y_{\rm C}(t) =C + A \cdot \cos(\omega_0t) - {1}/{6} \cdot \big[ C^3 + 3 \cdot C^2 \cdot A \cdot \cos(\omega_0t) + \hspace{0.09cm}3 \cdot C \cdot A^2 \cdot \cos^2(\omega_0t) + A^3 \cdot \cos^3(\omega_0 t)\big].$$
  • The signal  $y_{\rm C}(t)$  contains a direct (DC) component  $C - C^3/6$  which is no longer included in the signal  $y(t)$  due to the high-pass filter:
$$\underline{ A_0 = 0}.$$


(2)  Applying the given trigonometric relations the following coefficients with  $A= C = 0.5$  are obtained:

$$A_1 = A - {1}/{6}\cdot 3 \cdot C^2 \cdot A - {1}/{6} \cdot {3}/{4}\cdotA^3 = {1}/{2} - {1}/{16} - {1}/{64} = {27}/{64}\hspace{0.15cm}\underline{ \approx 0.422},$$
$$A_2 = - {1}/{6}\cdot 3 \cdot {1}/{2}\cdotC \cdot A^2 = - \frac{1}{32} \hspace{0.15cm}\underline{\approx -0.031},$$
$$A_3 = - {1}/{6}\cdot \frac{1}{4}\cdotA^3 = - {1}/{192} \hspace{0.15cm}\underline{\approx -0.005}.$$
  • Higher order terms do not occur.  Thus,   $\underline{A_4 = 0}$  holds.


(3)  In this task,  the higher order distortion factors are  $K_2 = 2/27 \approx 7.41\%$  and  $K_3 = 1/81 \approx 1.23\%$.

  • Thereby, the following is obtained for the overall distortion factor:
$$K = \sqrt{K_2^2 + K_3^2} \hspace{0.15cm}\underline{\approx7.51 \%}.$$


(4)  The maximum value occurs at time  $t = 0$  and at multiples of  $T$ :

$$y_{\rm max}= y(t=0) = A_1 + A_2 + A_3 = 0.422 -0.031 -0.005 \hspace{0.15cm}\underline{=0.386}.$$
  • The minimum values are located exactly in the middle between two maxima and it holds that:
$$y_{\rm min}= - A_1 + A_2 - A_3 = -0.422 -0.031 +0.005\hspace{0.15cm}\underline{ =-0.448}.$$
  • The signal  $y(t)$  is shifted downward by  $0.448$  compared to the signal  drawn in the sketch on the information page.
  • This signal value is obtained from the following equation considering  $A = C = 1/2$:
$$C - \frac{C \cdot A^2}{4}- \frac{C^3}{6} = {1}/{2} - {1}/{32}- {1}/{48} = 0.448.$$