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Derive the expression for electrical-loading nonlinearity error (percentage) in a rotatory potentiometer in terms of the angular displacement, maximum displacement (stroke), potentiometer element resistance, and load resistance. Plot the percentage error as a function of the fractional displacement for the three cases: RL/RC = 0.1, 1.0, and 10.0

Sagot :

Answer:

The plot for percentage error as a function of fractional displacement ( [tex]\frac{R_{L} }{R_{C} }[/tex]) for the values of 0.1,1.0,10.0 is shown in image attached below.

Explanation:

Electrical loading non linearity error (percentage) is shown below.

[tex]E=\frac{(\frac{v_{o} }{v_{r} }-\frac{Q}{Q_{max} } )}{\frac{Q}{Q_{max} } }[/tex]×[tex]100[/tex]

where Q= displacement of the slider arm

[tex]Q_{max}=[/tex] maximum displacement of a stroke

[tex]\frac{v_{o} }{ v_{r} } =[/tex][tex]\frac{(\frac{Q}{Q_{max} }(\frac{R_{L} }{R_{C} } ) )}{(\frac{R_{L} }{R_{C} } ) +(\frac{Q}{Q_{max} })-(\frac{Q}{Q_{max} })^{2} }[/tex]

here [tex]R_{L}=load resistance[/tex]

[tex]R_{C}=[/tex]total resistance of potentiometer.

Now the nonlinearity error in percentage is

[tex]E=\frac{(\frac{(\frac{Q}{Q_{max} }(\frac{R_{L} }{R_{C} } ) )}{(\frac{R_{L} }{R_{C} } ) +(\frac{Q}{Q_{max} })-(\frac{Q}{Q_{max} })^{2} }-\frac{Q}{Q_{max} } )}{\frac{Q}{Q_{max} } }[/tex]×[tex]100[/tex]

The following attached file shows nonlinear error in percentage as a function of [tex]\frac{R_{L} }{R_{C} }[/tex]  displacement with given values 0.1, 1.0, 10.0. The plot is drawn using MATLAB.

The MATLAB code is given below.

clear all ;

clc ;

ratio=0.1 ;

i=0 ;

for zratio=0:0.01:1 ;

i=i+1 ;

tratioa (1,i)=zratio ;

E1(1,i)=((((zratio*ratio)/(ratio+zratio-zratio^2))-zratio)/zrtio)*100 ;

end

ratio=1.0 :

i=0 ;

for zratio=0:0.01:1 ;

i=i+1 ;

tratiob (1,i)=zratio ;

E2(1,i)=((((zratio*ratio)/(ratio+zratio-zratio^2))-zratio)/zratio)*100 ;

end

ratio=10.0 :

i=0 ;

for zratio=0:0.01:1 ;

i=i+1 ;

tratioc (1,i)=zratio ;

E3(1,i)=((((zratio*ratio)/(ratio+zratio-zratio^2))-zratio)/zrtio)*100 ;

end

k=plot(tratioa,E1,tratiob,E2,tratioc,E3)

grid

title({non linear error in % as a function of R_L/R_C})

k(1). line width = 2;

k(1).marker='*'

k(1).color='red'

k(2).linewidth=1;

k(2).marker='d';

k(2).color='m';

k(3).linewidth=0.5;

k(3).marker='h';

k(3).color='b'

legend ('location', 'south east')

legend('R_L/R_C=0.1','R_L/R_C=1.0','R_L/R_C=10.0')

View image Pinquancaro
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