Student on page: 1 of 24 si RMS Values er lv Tr ia RMS Values How can the root mean square of a sinusoidally varying value be calculated and how is it derived? Contents Initial Problem Statement 2 Narrative 3-19 Notes 20-21 MEI ©2011 Appendices 22-24 Supported by Student on page: 2 of 24 so an average value is required that gives an a rate which is proportional to the power they average heating effect. A commonly used expend. This causes heating of components average is the root mean square value and it which may reduce their reliability or have gives the effective average voltage to use when consequences for the safe operation of the calculating power dissipation. lv Electrically powered devices dissipate energy at device; for example, you may burn yourself on a handle that is in thermal contact with a hot Tr ia component. The power used by a device is proportional to the square of the current through a conductor and the square of the voltage across the conductor. This is unambiguous for DC but for AC these quantities are continuously varying How can the root mean square of a sinusoidally varying value be calculated and how is it derived? MEI ©2011 Supported by RMS Values er Initial Problem Statement si RMS Values Student Narrative Introduction The heating caused by a current is proportional to the power dissipated in the material that is conducting it. For a purely resistive circuit one expression for the power, P, is given by P= V2 R on where V is the voltage drop across the circuit and R is the resistance in the circuit. For a steady voltage (direct current or DC), the above expression is easy to evaluate. For an alternating current (AC) the voltage changes continuously with time as shown below for a domestic supply. Note the curve continues to the right for as long as the supply is connected. Voltage, V (volts) 400 0 -100 -200 -300 -400 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 0.045 0.05 0.055 0.06 Time (s) lv 0 er 100 RMS Values 200 page: 3 of 24 si 300 Figure 1. Tr ia Discussion How could you work out the heating effect of a voltage that varies as shown in Figure 1? Does it matter that the value is sometimes positive and sometimes negative? MEI ©2011 Supported by The variation of voltage with time for a domestic AC supply is shown in Figure 1, repeated below Student 2. Heating due to a domestic AC supply Voltage, V (volts) 400 300 200 100 0.01 0.015 0.02 0.025 0.03 0.035 -100 -300 -400 The equation for this curve is 0.05 0.055 0.06 Time (s) er Figure 1. 0.045 si -200 0.04 page: 4 of 24 0.005 RMS Values 0 on 0 V = 325sin ωt where ω is the angular frequency of the curve. This is given by 2π T lv ω= Tr ia where T is the period of the curve. MEI ©2011 Supported by Student As heating is proportional to the square of the voltage through V2 P= R you need to consider the graph of voltage-squared, as shown below. Voltage-squared 120000 100000 on 80000 60000 Time (s) 0 0.005 0.01 0.015 0.02 0.025 Activity 1 0.035 0.04 0.045 0.05 er Figure 2. 0.03 page: 5 of 24 0 si 20000 What is the period of the domestic AC voltage shown in Figure 1 and how does this compare with the period of the voltage-squared shown in Figure 2? What is the angular frequency of the curve? lv Activity 2 Tr ia Write down an expression for the value of voltage squared as a function of time. MEI ©2011 Supported by RMS Values 40000 P= dE dt Student Average power is defined as the total work done (energy delivered) divided by the time taken. At any instant the power is given by If the power is constant the average power is equal to the instantaneous power. However, in the case of alternating current the power is not constant; it varies through each cycle of the electrical current. on To find the average power you have to find the energy delivered during one complete cycle and divide it by the time the cycle takes. The total energy delivered is given by the area under a power versus time graph. As P ∝ V 2 then it follows that the energy delivered must also be proportional to the area under a voltage-squared versus time graph. This means that to establish a single average value that gives an equivalent heating you need to find a value of the voltage squared such that the areas under the two graphs are the same. To find this will require an average value for each cycle of the voltage squared which may be scaled to provide an average over all values of time. Voltage-squared page: 6 of 24 si See box-out “Power, energy and time” on page 20 Voltage-squared 120000 120000 100000 er 100000 80000 60000 Time (s) 60000 RMS Values 80000 Time (s) average 40000 40000 20000 0 lv 20000 0 0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 0.045 0.05 0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 0.045 0.05 Figure 3. What is the value of average that gives the same area under the graph? Tr ia The average value will be called the mean sqaure value and denoted MS. Discussion Do you need to consider the AC graph for all time values? MEI ©2011 Discussion How could you calculate the area under the AC graph and how would you use this to find an average value that gives an equivalent area? Supported by 2 2 page: 7 of 24 er Discussion Tr ia lv Do you expect the estimated area to be greater or smaller than the true area? MEI ©2011 Supported by RMS Values Figure 4. si on Estimate the area under the graph of V = 105 625 sin ωt between t = 0 seconds and t = 0.01 seconds by constructing rectangles of width 0.001 seconds and that are always just below the curve, as shown below. Recall that ω = 100π. Student Activity 3 (Group 1) 2 2 Tr ia lv MEI ©2011 Supported by page: 8 of 24 er Do you expect the estimated area to be greater or smaller than the true area? RMS Values Discussion Figure 5. si on Estimate the area under the graph of V = 105 625 sin ωt between t = 0 seconds and t = 0.01 seconds by constructing rectangles of width 0.001 seconds and that are always just above the curve, as shown below. Recall that ω = 100π. Student Activity 3 (Group 2) You now need to work out an average voltage-squared value that gives the equivalent area. Recall that this average value will be called the mean square value and denoted MS. Use you result from the above area estimate to calculate MS. Discussion The area estimates made using rectangles vary considerable. How could you improve the accuracy of the estimate? Tr ia lv RMS Values er page: 9 of 24 si on Student Activity 4 MEI ©2011 Supported by the curve Student 3. Improving the estimate of the area under Figure 8 rectangle width 0.0005 2 2 er Multimedia si Estimate the area under the graph of V = 105 625 sin ωt between t = 0 seconds and t = 0.01 seconds by constructing rectangles of width 0.0005 seconds and that are always just below the curve. Repeat the activity for rectangles of width 0.00025 seconds. Recall that ω = 100π. The resource RMS Values Interactive is available to automate these calculations. lv Optionally you can perform the calculations by hand or by using a spreadsheet. Remember that you only have to work out half the values – the whole area estimate can be found using symmetry. Rectangle t lower t upper V V2 Area 1 0.0000 0.0005 0.00 0.00 0.00 2 0.0005 0.0010 50.84 2584.83 1.29 Tr ia Rectangle width = 0.0005 3 0.0010 0.0015 4 0.0015 0.0020 5 0.0020 0.0025 6 0.0025 0.0030 7 0.0030 0.0035 8 0.0035 0.0040 9 0.0040 0.0045 10 0.0045 0.0050 Total for half graph Total for whole graph You could use a spreadsheet to fill in these values. MEI ©2011 Supported by page: 10 of 24 Activity 5 (Group 1) RMS Values Figure 7 rectangle width 0.001 on In the previous activity you estimated the area under the curve using rectangles and found different values depending on whether you used rectangles that were just above the curve or just below the curve. After discussion it was decided that the estimate for both could be improved by using narrower rectangles, shown below for the case where the rectangles are just below the curve. t lower t upper V V2 Area 1 0.00000 0.00025 0.00 0.00 0.00 2 0.00025 0.00050 25.50 650.21 0.16 3 0.00050 0.00075 4 0.00075 0.00100 5 0.00100 0.00125 6 0.00125 0.00150 7 0.00150 0.00175 8 0.00175 0.00200 9 0.00200 0.00225 10 0.00225 0.00250 11 0.00250 0.00275 12 0.00275 0.00300 13 0.00300 0.00325 14 0.00325 0.00350 15 0.00350 0.00375 16 0.00375 0.00400 17 0.00400 0.00425 18 0.00425 0.00450 19 0.00450 0.00475 20 0.00475 0.00500 er page: 11 of 24 si on Rectangle RMS Values Total for half graph Total for whole graph Tr ia lv You could use a spreadsheet to fill in these values. MEI ©2011 Student Rectangle width = 0.00025 Supported by 2 2 Estimate the area under the graph of V = 105 625 sin ωt between t = 0 seconds and t = 0.01 seconds by constructing rectangles of width 0.0005 seconds and that are always just above the curve. Repeat the activity for rectangles of width 0.00025 seconds. Recall that ω = 100π. Student Activity 5 (Group 2) Multimedia The resource RMS Values Interactive is available to automate these calculations. Optionally you can perform the calculations by hand or by using a spreadsheet. Remember that you only have to work out half the values – the whole area estimate can be found using symmetry. t lower t upper V V2 Area 1 0.0000 0.0005 50.84 2584.83 1.29 2 3 0.0005 0.0010 100.43 10086.29 5.04 0.0010 0.0015 4 0.0015 0.0020 5 0.0020 0.0025 6 0.0025 0.0030 7 0.0030 0.0035 8 0.0035 0.0040 9 0.0040 0.0045 10 0.0045 0.0050 RMS Values er page: 12 of 24 si Rectangle on Rectangle width = 0.0005 Total for half graph Total for whole graph Tr ia lv You could use a spreadsheet to fill in these values. MEI ©2011 Supported by t lower t upper V V2 Area 1 0.00000 0.00025 25.50 650.21 0.16 2 0.00025 0.00050 50.84 2584.83 0.65 3 0.00050 0.00075 4 0.00075 0.00100 5 0.00100 0.00125 6 0.00125 0.00150 7 0.00150 0.00175 8 0.00175 0.00200 9 0.00200 0.00225 10 0.00225 0.00250 11 0.00250 0.00275 12 0.00275 0.00300 13 0.00300 0.00325 14 0.00325 0.00350 15 0.00350 0.00375 16 0.00375 0.00400 17 0.00400 0.00425 18 0.00425 0.00450 19 0.00450 0.00475 20 0.00475 0.00500 er page: 13 of 24 si on Rectangle RMS Values Total for half graph Total for whole graph Tr ia lv You could use a spreadsheet to fill in these values. MEI ©2011 Student Rectangle width = 0.00025 Supported by Student Activity 6 Collate your results to fill in the following table Rectangle width 0.001 0.0005 0.00025 Group 1 Area (Rectangles below curve) Group 2 Area (Rectangles above curve) Plot your results on the following graph on Estimated area 650 625 600 575 500 450 425 400 0 0.0001 0.0002 0.0003 er 475 0.0004 0.0005 0.0006 0.0007 0.0008 0. 0009 0.001 RMS Values 525 page: 14 of 24 si 550 0.0011 lv Rectangle width (s) Figure 9. Discussion Tr ia What do you notice about the two lines as the rectangle width decreases? MEI ©2011 Discussion Do you expect the estimate to be closer to the actual area as the width of the rectangles reduces? Why? Supported by Student 4. Finding the limit Recall the result from the previous activity Rectangle width 0.001 0.0005 0.00025 Group 1 Area (Rectangles below curve) 422.50 475.31 501.72 Group 2 Area (Rectangles above curve) 633.75 580.94 554.53 Estimated area 650.00 on 625.00 600.00 Group 2 575.00 550.00 500.00 475.00 page: 15 of 24 si 525.00 400.00 0 0.0001 0.0002 er 425.00 0.0003 0.0004 0.0005 0.0006 0.0007 0.0008 0. 0009 0.001 RMS Values Group 1 450.00 0.0011 Rectangle width (s) lv Figure 10. Tr ia It is observed that a halving of the rectangle width (which doubles the number of rectangles used) produces a new estimate for the area which falls on a straight line. As the width of the rectangles reduces the expected error decreases as the rectangles more closely fit the actual curve as shown below. Figure 6 rectangle width 0.001 Figure 7 rectangle width 0.0005 The lines for the two different approaches (over-estimating and under-estimating) appear to converge to a single value when the rectangle width is zero. MEI ©2011 Supported by Find the equations for the two lines and determine the y-intercept value. Give values to 1 d.p. as the estimate areas given do not retain all the calculated decimal places. Student Activity 7 Activity 8 Use your result to find the average value, MS, that gives an equivalent area over the time interval 0.01 seconds. Discussion Discussion Discuss what happens to the area of one of the rectangles used to estimate the area as its width is reduced. How does this affect the sum of all the areas? Tr ia lv RMS Values er page: 16 of 24 si on Do the two lines converge to the same point? MEI ©2011 Supported by In the previous activity you determined the area under the curve by summing area of a number of rectangles and found that it was possible to extrapolate results to zero thickness and still produce a finite, non-zero estimate of area. Student 5. Using integration If the width of an individual rectangle is a small value dt then the small area contribution of rectangle i, dAi, for the function V 2 = 105 625 sin 2 ωt at time ti is given approximately by 2 dAi = dt ×105 625 sin ωti The total area is given by summing all the small areas A = ∑ dAi You found that A = ∑ dAi → true area as dt → 0 i on i This is true of many functions; V 2 = 105 625 sin 2 ωt is not a special case. For the general function f(t) this limit is known as the integral of f(t) and is written as 0.01 A = lim ∑ f ( t ) × dt = ∫ f ( t ) dt page: 17 of 24 i si dt →0 0 The limits on the integral represent the start and end times over which the area is calculated. A = lim ∑ f ( x ) × dx = ∫ f ( x ) dx dx →0 . i RMS Values er Of course this is valid for any variables so You also found that the mean value required to give an equivalent area over the time, MS, is calculated by A t lv MS × t = A ⇒ MS = Activity 9 Using the definitions above write down an equation for the mean square, MS, in the form A , where A is expressed as an integral. t Tr ia MS = MEI ©2011 Supported by Solve the equation and compare your mean square (MS ) value with the result from the previous activity. (Recall MS = 52812.66 and 52812.33 for the rectangles under the curve and rectangles over the curve results respectively. Note, these values are derived based on rounded values of area estimates.) Student Activity 10 Discussion The value of MS is intended to give a rectangle of equal area to the curve Tr ia lv RMS Values er page: 18 of 24 si on V 2 = 105 625 sin 2 ωt over the specified time. Compare MS with the peak value 2 2 of V = 105 625 sin ωt . MEI ©2011 Supported by Recall the introduction to this problem: Student 6. Mean square and the root mean square Electrically powered devices dissipate energy at a rate which is proportional to the power they expend. This causes heating of components which may reduce their reliability or have consequences for the safe operation of the device; for example, you may burn yourself on a handle that is in thermal contact with a hot component. on The power used by a device is proportional to the square of the current through a conductor and the square of the voltage across the conductor. This is unambiguous for DC but for AC these quantities are continuously varying so an average value is required that gives an average heating effect. A commonly used average is the root mean square value and it gives the effective average voltage to use when calculating power dissipation. You have considered a domestic AC supply where the voltage at a given time is given by the function V = 325sin ωt ω = 100π. page: 19 of 24 T and calculated that an average mean square value, MS, of the V 2 function to given an equal area under the graph over a given time is given by 2 RMS Values ω= si where ω is the angular frequency of the curve. This is given by 2π where T is the period of the curve, 0.02 seconds for a domestic 50 Hz supply so that You have also determined that heating effects are proportional to V 2, i.e. 2 2 2 peak V 105625 = 2 2 lv MS = er P ∝ V ⇒ P ∝ ( 325 sin ωt ) = 105625 sin ωt Discussion The above expression gives the mean square value, i.e. the mean value of the voltage squared. How can you use this to produce a mean value for the voltage that gives an equivalent heating? Tr ia Activity 11 Calculate the RMS value of the voltage in a domestic AC supply to the nearest integer. Discussion Is the result familiar? MEI ©2011 Supported by Student Notes Power, energy and time For a general curve of power against time the area under the curve between any two time points gives the total energy between those two times. Power The above follows from the definition of power as energy per unit time, variables gives dE dt Integrating both sides t2 t2 E t1 o page: 20 of 24 ∫ Pdt = ∫ dE = E ∫ Pdt represents the area under the P curve between time t Tr ia The expression dE . Separating the dt P= ⇒ Pdt = dE lv P= time t2 er Figure 11. 1 and t2. t1 The above is analogous to the more familiar fact that the area under a velocity/time graph gives the total distance travelled. Denoting the velocity as v and distance as x, the definition of velocity as the rate of change of distance gives v = dx . dt Separating the variables and integrating gives dx v= t2 The integral dt ⇒ vdt = dx t2 x t1 0 ∫ vdt = ∫ dx = x ∫ vdt represents the area under the velocity/time graph between time points t 1 and t2. t1 MEI ©2011 Supported by RMS Values t1 si on Area = energy Student Separating the variables and integrating gives v= dx ⇒ vdt = dx dt t2 x t1 0 ∫ vdt = ∫ dx = x t2 The integral ∫ vdt represents the area under the velocity/time graph between t1 Tr ia lv RMS Values er page: 21 of 24 si on time points t1 and t2. MEI ©2011 Supported by Student Appendix 1 using the interactives Multimedia RMS Values Interactive is available to automate these calculations of areas under a graph RMS Values er page: 22 of 24 si on by using rectangles of different sizes. Figure 14. Tr ia lv The selection choices at the left of the screen determine whether the rectangles are bound under the curve, as shown above, or above the curve, as shown below. Figure 15. MEI ©2011 Supported by page: 23 of 24 Tr ia lv RMS Values er Figure 16. si on The slider at the bottom reduces the width of the rectangles so that they more closely fit the curve. Student The box at the bottom right hand side of the screen gives the estimated area based on the sum of the areas of the rectangles. Figure 17. MEI ©2011 Supported by Student Appendix 2 mathematical coverage ASL Outcomes: Understand the use of trigonometry to model situations involving oscillations 4. Undertsand the mathematical structure of a range of functions and be familiar with their graphs. 6. Know how to use differentiation and integration in the context of engineering analysis and problem solving. 7. Understand the methods of linear algebra. Know how to use algebraic processes. Tr ia lv RMS Values er page: 24 of 24 si on 3. MEI ©2011 Supported by