RMS (root mean square) of sums of functions

In summary, to find the RMS value of a voltage given by a periodic function, the formula is the square root of the sum of the squares of the respective RMS values of each component. This is because integration is a linear operation, and the integral of the product of any two different components over a period equals zero. The period of integration must be a common multiple of the periods of the individual components.
  • #1
lynx1245
2
0

Homework Statement



The voltage across a resistor is given by:
[tex]
v(t) = 5 + 3 \cos{(t + 10^o)} + \cos{(2 t + 30^o)} V
[/tex]
Find the RMS value of the voltage

Homework Equations


For a periodic function, [tex]f(t)[/tex], the rms value is given by:
[tex]
f_{rms} (t) = \sqrt{\frac{1}{T} \int_{0}^{T} f(t)^2 dt}
[/tex]
Where T is the period.

The Attempt at a Solution


I know that the solution is given by:
[tex]
v_{rms} (t) = \sqrt{5^2 + (\frac{3}{\sqrt{2}})^2 + (\frac{1}{\sqrt{2}})^2} V
[/tex]

It seems that you take the sum of the squares of the respective RMS value of each piece of the original voltage. I can't figure out why you do this though. I don't think applying the equation given will easily give you this answer. It's hard to even find a period to integrate over from the original voltage equation. Any insight into why the sum of squares works would be helpful.
 
Last edited:
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  • #2
To calculate the integral, you must express all your angles in radians and use the formula for the sum of arcs. So
[tex]3cos(t + 10^o) = 3cos(t + 10\pi /180) = 3[cos t cos\pi/18 - sin t sin \pi/18][/tex]
The period of integration is [tex]2 \pi[/tex], the period for the lower frequency 1 rad/s.
 
  • #3
lynx1245 said:
It seems that you take the sum of the squares of the respective RMS value of each piece of the original voltage. I can't figure out why you do this though. I don't think applying the equation given will easily give you this answer. It's hard to even find a period to integrate over from the original voltage equation. Any insight into why the sum of squares works would be helpful.

First, you should take a look at why the RMS value of a cosinusoid is [tex]\frac{amplitude}{\sqrt{2}}[/tex] :http://en.wikipedia.org/wiki/Root_mean_square

Now, in your particular case you have a voltage composed of a DC component and two cosinusoids. In the formula of the RMS value,
[tex]f_{rms} (t) = \sqrt{\frac{1}{T} \int_{0}^{T} f(t)^2 dt}[/tex] you will have the integral of the sum of this components, which, because integration is a linear operation, equals the sum of the integral of each component. The integral of each component equals its RMS squared (and multiplied by T), and so the formula works.

The period of integration must be a common multiple of the periods of the individual components, because, any multiple of the main period of a signal is also a period. So you can take the period [tex]2 \pi[/tex] as SGT said. Also note that the RMS value of the DC component is it's actual value no matter what period you take since it's value doesn't vary over time.

EDIT: Also, I should have mentioned that the integral of the product of any two different components from your voltage over a period equals zero. The components are said to be orthogonal. You can verify this graphically, knowing that the integral is the sum of the signed areas between the function's graph and the abscise.
 
Last edited:
  • #4
Thanks for the help guys. Here's how I did it.

I expanded [tex]v_{rms}(t)^2[/tex] to:
[tex]v_{rms}(t)^2 = 5^2 + 30 \cos{(t+10^o)} + 10 \cos{(2t+30^o)} +9 \cos^2{(t+10^o)} + 6 \cos{(t+10^o)} \cos{(2t+30^o)} + \cos^2{(t+10^o)}
[/tex]

and using the product to sum identity:

[tex]
\cos{x} \cos{y} = \frac{1}{2} (\cos{(x-y)} + \cos{(x+y)})
[/tex]

Its easy to see that all the lone cosine terms and the product of the cosines will go away through the integration and all that will be left is the RMS of each respective term in the original equation.
 

1. What is the RMS of sums of functions?

The RMS (root mean square) of sums of functions is a mathematical concept that measures the average value of a set of functions. It is calculated by taking the square root of the mean of the squared values of the functions.

2. What is the significance of the RMS of sums of functions?

The RMS of sums of functions is commonly used in signal processing and statistics to measure the overall magnitude of a set of functions. It is a useful tool for analyzing data and making comparisons between different sets of functions.

3. How is the RMS of sums of functions calculated?

The RMS of sums of functions is calculated by first squaring each individual function in the set, then finding the mean of the squared values. The square root of this mean is then taken to obtain the final RMS value.

4. Can the RMS of sums of functions be negative?

No, the RMS of sums of functions cannot be negative. Since the values of the functions are squared before being averaged, the result will always be a positive value.

5. How does the RMS of sums of functions differ from the standard deviation?

The RMS of sums of functions and the standard deviation are both measures of the spread or variability of a set of data. However, the RMS of sums of functions considers the overall magnitude of the functions, while the standard deviation focuses on the deviation of each individual data point from the mean.

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