Prediction of large capacitors and resistors
Prediction of large capacitors and resistors
Prediction of large capacitors and resistors if want to change major electrical power (Watts) who we want on the LED light. For example we will change the power on LED lights to 20 Watts. Then must we know large currents flowing on the circuit the LED lights in the following ways:
For the value of the resistor we search using the relationship formula of complex numbers so obtained R1 = 680 Ω. , R2 =680 Ω, R3 = 470 Ω.
So, to make the LED light with great power 20 watt we need to prepare the capacitor billion (C1) of 2.10-6 F or if there is not allowed to use a capacitor whose value approach i.e. 2.2 μF. And for capacitor elco (C2) of 3.2 x 10-5 F or whose value approach i.e. 33 μF. And great each resistor 680 Ω = R1, R2 = 680 Ω and R3 = 470 Ω.
And for the prediction of the others can be seen in the following table:
So, to make the LED light with great power 20 watt we need to prepare the capacitor billion (C1) of 2.10-6 F or if there is not allowed to use a capacitor whose value approach i.e. 2.2 μF. And for capacitor elco (C2) of 3.2 x 10-5 F or whose value approach i.e. 33 μF. And great each resistor 680 Ω = R1, R2 = 680 Ω and R3 = 470 Ω.
And for the prediction of the others can be seen in the following table:
C1
|
C2
|
R1 (Ω)
|
R2 (Ω)
|
R3 (Ω)
|
Jumlah Minimal LED
|
Impedansi
|
Arus total (Amper)
|
Daya listrik (Watt)
|
0.068 f
|
470f
|
3900
|
3900
|
3900
|
2
|
48400
|
0.004545
|
1
|
0.15 f
|
330f
|
3900
|
3900
|
3300
|
3
|
24200
|
0.009091
|
2
|
0.22 f
|
330 f
|
2700
|
2200
|
2200
|
4
|
16133.33
|
0.013636
|
3
|
0.33 f
|
220 f
|
2700
|
1800
|
2700
|
5
|
12100
|
0.018182
|
4
|
0.47 f
|
100 f
|
2700
|
1800
|
2200
|
7
|
9680
|
0.022727
|
5
|
0.47 f
|
100 f
|
1500
|
1500
|
1200
|
8
|
8066.667
|
0.027273
|
6
|
0.47 f
|
100 f
|
390
|
330
|
470
|
9
|
6914.286
|
0.031818
|
7
|
0.68 f
|
100 f
|
1200
|
1000
|
1500
|
10
|
6050
|
0.036364
|
8
|
0.68 f
|
100 f
|
820
|
680
|
1000
|
11
|
5377.778
|
0.040909
|
9
|
1 f
|
33 f
|
1000
|
1200
|
1200
|
13
|
4840
|
0.045455
|
10
|
1 f
|
33 f
|
1000
|
1000
|
820
|
14
|
4400
|
0.05
|
11
|
1 f
|
33 f
|
820
|
820
|
680
|
15
|
4033.333
|
0.054545
|
12
|
1.1 f
|
47 f
|
820
|
680
|
680
|
16
|
3723.077
|
0.059091
|
13
|
1.1 f
|
47 f
|
560
|
560
|
560
|
17
|
3457.143
|
0.063636
|
14
|
1.1 f
|
47 f
|
470
|
474
|
474
|
17
|
3285.811
|
0.066955
|
14.73
|
1.5 f
|
47 f
|
820
|
680
|
820
|
19
|
3226.667
|
0.068182
|
15
|
1.5 f
|
47 f
|
680
|
820
|
560
|
20
|
3025
|
0.072727
|
16
|
1.5 f
|
47 f
|
680
|
560
|
560
|
22
|
2847.059
|
0.077273
|
17
|
1.5 f
|
33 f
|
560
|
470
|
470
|
23
|
2688.889
|
0.081818
|
18
|
1.5 f
|
33 f
|
330
|
390
|
470
|
24
|
2547.368
|
0.086364
|
19
|
2.2 f
|
33 f
|
680
|
680
|
470
|
25
|
2420
|
0.090909
|
20
|
2.2 f
|
33 f
|
680
|
560
|
470
|
27
|
2304.762
|
0.095455
|
21
|
2.2 f
|
22 f
|
560
|
470
|
470
|
28
|
2200
|
0.1
|
22
|
2.2 f
|
22 f
|
560
|
390
|
390
|
29
|
2104.348
|
0.104545
|
23
|
2.2 f
|
22 f
|
560
|
270
|
390
|
30
|
2016.667
|
0.109091
|
24
|
3.3 f
|
22 f
|
560
|
560
|
470
|
32
|
1936
|
0.113636
|
25
|
3.3 f
|
22 f
|
560
|
470
|
470
|
33
|
1861.538
|
0.118182
|
26
|
3.3 f
|
22 f
|
470
|
470
|
470
|
34
|
1792.593
|
0.122727
|
27
|
3.3 f
|
22 f
|
470
|
470
|
390
|
35
|
1728.571
|
0.127273
|
28
|
3.3 f
|
22 f
|
470
|
390
|
390
|
37
|
1668.966
|
0.131818
|
29
|
3.3f
|
22 f
|
390
|
390
|
390
|
38
|
1613.333
|
0.136364
|
30
|
4.7 f
|
22 f
|
470
|
390
|
470
|
39
|
1561.29
|
0.140909
|
31
|
4.7 f
|
22 f
|
470
|
390
|
390
|
40
|
1512.5
|
0.145455
|
32
|
4.7f
|
15 f
|
560
|
270
|
330
|
42
|
1466.667
|
0.15
|
33
|
4.7 f
|
15 f
|
560
|
270
|
270
|
43
|
1423.529
|
0.154545
|
34
|
4.7 f
|
15 f
|
390
|
330
|
330
|
44
|
1382.857
|
0.159091
|
35
|
4.7 f
|
15 f
|
390
|
270
|
330
|
45
|
1344.444
|
0.163636
|
36
|
6.8 f
|
15 f
|
390
|
390
|
330
|
47
|
1308.108
|
0.168182
|
37
|
6.8 f
|
15 f
|
470
|
270
|
330
|
48
|
1273.684
|
0.172727
|
38
|
6.8 f
|
15 f
|
220
|
330
|
470
|
49
|
1241.026
|
0.177273
|
39
|
6.8 f
|
15 f
|
330
|
330
|
330
|
50
|
1210
|
0.181818
|
40
|
6.8 f
|
15 f
|
470
|
220
|
270
|
52
|
1180.488
|
0.186364
|
41
|
6.8 f
|
15 f
|
390
|
270
|
270
|
53
|
1152.381
|
0.190909
|
42
|
10 f
|
15 f
|
330
|
330
|
330
|
54
|
1125.581
|
0.195455
|
43
|
10 f
|
15 f
|
470
|
270
|
220
|
55
|
1100
|
0.2
|
44
|
10 f
|
15 f
|
330
|
330
|
270
|
57
|
1075.556
|
0.204545
|
45
|
10 f
|
15 f
|
470
|
220
|
220
|
58
|
1052.174
|
0.209091
|
46
|
10 f
|
15 f
|
220
|
330
|
330
|
59
|
1029.787
|
0.213636
|
47
|
10 f
|
10 f
|
330
|
270
|
180
|
60
|
1008.333
|
0.218182
|
48
|
15 f
|
10 f
|
390
|
220
|
220
|
62
|
987.7551
|
0.222727
|
49
|
15 f
|
10 f
|
390
|
270
|
150
|
63
|
968
|
0.227273
|
50
|
15 f
|
10 f
|
330
|
270
|
180
|
64
|
949.0196
|
0.231818
|
51
|
15 f
|
10 f
|
390
|
220
|
150
|
65
|
930.7692
|
0.236364
|
52
|
15 f
|
10 f
|
390
|
180
|
180
|
67
|
913.2075
|
0.240909
|
53
|
15 f
|
10 f
|
270
|
270
|
180
|
68
|
896.2963
|
0.245455
|
54
|
22 f
|
10 f
|
390
|
180
|
180
|
69
|
880
|
0.25
|
55
|
22 f
|
10 f
|
330
|
180
|
220
|
70
|
864.2857
|
0.254545
|
56
|
22 f
|
10 f
|
220
|
270
|
220
|
72
|
849.1228
|
0.259091
|
57
|
33 f
|
10 f
|
270
|
180
|
270
|
73
|
834.4828
|
0.263636
|
58
|
33 f
|
10 f
|
220
|
270
|
220
|
74
|
820.339
|
0.268182
|
59
|
33 f
|
10 f
|
180
|
180
|
330
|
75
|
806.6667
|
0.272727
|
60
|
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