0:00:00.710,0:00:05.760 >> In a circuit that's being driven[br]by a sinusoidally varying voltage, 0:00:05.760,0:00:11.430 the current that's flowing in that circuit[br]is also going to be sinusoidal. 0:00:11.430,0:00:16.079 The power delivered to[br]this resistive load which is equal to 0:00:16.079,0:00:20.645 the voltage times the current[br]is also going to be varying. 0:00:20.645,0:00:23.480 That means, at some points when[br]the voltage and current are at 0:00:23.480,0:00:26.590 maximum values you're going to be[br]delivering a lot of power to the load, 0:00:26.590,0:00:30.230 and at times when the voltage[br]or the current is zero, 0:00:30.230,0:00:33.410 at that instant, you won't be[br]delivering any power to the load. 0:00:33.410,0:00:35.420 So then becomes interesting to say, 0:00:35.420,0:00:36.800 well is there a way of determining what 0:00:36.800,0:00:41.060 the average power is being[br]delivered over one cycle? 0:00:41.060,0:00:44.480 Is there are some effective quantity[br]that we can use to 0:00:44.480,0:00:46.130 calculate the effective power or 0:00:46.130,0:00:48.695 the average power that's[br]being delivered to the load? 0:00:48.695,0:00:51.620 We might say, well, let's[br]just take the average of it. 0:00:51.620,0:00:57.035 Let's start with a voltage source[br]or some sinusoidally varying thing. 0:00:57.035,0:01:00.200 Calculate its average value. 0:01:00.200,0:01:02.630 The average value of say 0:01:02.630,0:01:07.110 some sinusoidally varying voltage[br]V of t. If V of t is 0:01:07.110,0:01:14.655 equal to V_m cosine Omega t, 0:01:14.655,0:01:17.330 then, the average voltage is defined as one 0:01:17.330,0:01:20.240 over t times the integral from 0 to t, 0:01:20.240,0:01:26.185 V_m cosine Omega t, dt. 0:01:26.185,0:01:29.070 Without going to bother[br]doing this integration, 0:01:29.070,0:01:31.130 we know that when you[br]integrate you are actually 0:01:31.130,0:01:33.665 adding up the area under the curve. 0:01:33.665,0:01:36.500 In this case going from zero to t, 0:01:36.500,0:01:43.380 we're going over one period[br]and adding up the area. 0:01:43.380,0:01:46.000 It turns out that in a sine wave, 0:01:46.000,0:01:52.870 there's just as much area above[br]the axis positive area as there is area 0:01:52.870,0:02:00.300 under the line and thus[br]the average voltage is zero. 0:02:00.300,0:02:02.080 Well, that doesn't help us[br]a whole lot because we know 0:02:02.080,0:02:03.880 there's power being delivered to 0:02:03.880,0:02:06.430 that resistive load but calculating 0:02:06.430,0:02:10.330 the average voltage of the average current[br]isn't going to do anything for us. 0:02:10.330,0:02:13.930 Instead, we calculate what[br]is known as the root means 0:02:13.930,0:02:17.695 squared or the effective voltage. 0:02:17.695,0:02:23.315 To do that we start by taking[br]our voltage or current. 0:02:23.315,0:02:26.405 We're going to calculate it for[br]both the voltage and the current. 0:02:26.405,0:02:30.275 You square that quantity. 0:02:30.275,0:02:32.210 Here's the voltage squared. 0:02:32.210,0:02:34.310 You'll notice that what was negative is 0:02:34.310,0:02:37.105 now been flipped over[br]so it is now positive. 0:02:37.105,0:02:40.040 The shape is somewhat[br]different but it's still 0:02:40.040,0:02:43.565 ranges from in this case zero to one. 0:02:43.565,0:02:48.890 We then average this squared value 0:02:48.890,0:02:50.750 and then to bring it back to 0:02:50.750,0:02:53.750 the appropriate amplitude[br]or the appropriate units, 0:02:53.750,0:02:55.760 we take the square root of it. 0:02:55.760,0:02:58.130 In other words, the RMS value or 0:02:58.130,0:03:02.689 this effective value of the voltage[br]is found by squaring the voltage, 0:03:02.689,0:03:04.685 calculating the average of the square, 0:03:04.685,0:03:06.785 and then taking the square root of that. 0:03:06.785,0:03:08.930 Let's go ahead and show[br]you what we mean here. 0:03:08.930,0:03:12.420 If V of t is equal to V_m cosine Omega, 0:03:12.420,0:03:17.220 then V squared of t is equal to V_m 0:03:17.220,0:03:22.530 squared cosine squared of[br]Omega t. We're going to take 0:03:22.530,0:03:24.230 that and we're going to[br]calculate the average of 0:03:24.230,0:03:27.020 that which is done by integrating from 0:03:27.020,0:03:33.035 0 to t. Let's bring the V_m squared[br]out in front since it's a constant. 0:03:33.035,0:03:39.210 Cosine squared of Omega t dt. 0:03:39.770,0:03:42.150 We have to avail ourselves of 0:03:42.150,0:03:47.180 a trigonometric identity that[br]says that the cosine squared of 0:03:47.180,0:03:56.400 Theta is equal to 1.5 times 1[br]plus the cosine of 2 Theta. 0:03:56.400,0:03:57.890 So to perform this integral, 0:03:57.890,0:04:00.530 the trick is to instead of trying[br]to integrate the cosine squared, 0:04:00.530,0:04:05.675 we use this identity and substitute[br]in then for this we have, 0:04:05.675,0:04:10.830 V_m squared over T times[br]the integral from 0 to 0:04:10.830,0:04:19.370 t. We'll bring the 1.5 out in front also, 0:04:19.370,0:04:24.840 times 1 plus the cosine of 0:04:24.840,0:04:32.430 2 Omega t dt. 0:04:32.430,0:04:35.495 Now, when we integrate[br]this over the period, 0:04:35.495,0:04:38.200 this term we're actually[br]integrating over two periods. 0:04:38.200,0:04:40.720 In the same way that when you[br]integrate it over one period, 0:04:40.720,0:04:42.940 the positive area cancel the negative area, 0:04:42.940,0:04:49.630 this term here likewise gives us[br]a zero contribution to this integral. 0:04:49.630,0:04:52.420 When you integrate one with respect to t, 0:04:52.420,0:05:01.900 we adjust t and so we have[br]V_m squared over 2T times 0:05:01.900,0:05:05.670 t evaluated from 0 to 0:05:05.670,0:05:13.620 T. That then is just V_m squared over 2. 0:05:13.620,0:05:17.010 So we squared it, 0:05:17.010,0:05:19.965 we calculated the average. 0:05:19.965,0:05:23.480 Now all is left to do is to[br]take the square root of it and 0:05:23.480,0:05:26.960 we've have in V_rms is 0:05:26.960,0:05:34.550 equal to the square root[br]of V_m squared over 2. 0:05:34.550,0:05:38.570 If we take that square root of[br]two out from under the radical, 0:05:38.570,0:05:41.780 it comes out as 1 over 0:05:41.780,0:05:46.220 the square root of 2 times the[br]square root of V_m squared. 0:05:46.220,0:05:48.955 Well, that's just V_m. 0:05:48.955,0:05:51.615 Thus, we see that the RMS value, 0:05:51.615,0:05:57.240 this effective voltage is equal[br]to 1 over the square root of 0:05:57.240,0:06:04.120 2 times V_m where V_m was[br]the maximum value, our peak value. 0:06:04.310,0:06:07.870 Well, 1 over the square root of[br]2 that's approximately equal 0:06:07.870,0:06:12.480 to 0.707 times V_m. 0:06:12.480,0:06:16.750 So the effective voltage is something[br]on the order of pretty close to being 0:06:16.750,0:06:24.035 about 70 percent of[br]the peak value 0.707 V peak. 0:06:24.035,0:06:26.955 Now then, what does that do for us? 0:06:26.955,0:06:30.815 With this effective or this RMS value, 0:06:30.815,0:06:36.220 we can now calculate an average power[br]delivered to a resistive load is equal 0:06:36.220,0:06:43.520 to V_rms times Pi_rms. 0:06:43.520,0:06:46.760 The same expression that we've[br]been used to using all along. 0:06:46.760,0:06:52.400 In other words, this RMS voltage and[br]RMS current are the effectively the 0:06:52.400,0:06:58.120 same as what you would have if[br]you had a DC source driving it. 0:06:58.120,0:07:00.560 To say that even yet a different way, 0:07:00.560,0:07:06.620 a DC source with a value of V_rms will[br]deliver the same amount of power to 0:07:06.620,0:07:15.940 a resistive load as an AC signal[br]with V_m voltage peak.