Основные расчетные формулы
Экспериментальное значение коэффициента трансформации: K=U1/U2, где K – коэффициент трансформации [ед.], U1 – значение напряжения на первичной обмотке [В], U2 – значение напряжения на вторичной обмотке [В]; Теоретическое значение коэффициента трансформации: K = N1/N2, N1 – число витков на первичной обмотке [ед.], N2 – число витков на вторичной обмотке [ед.]; Полезная мощность: P1=U1I1; P1 – мощность входная [Вт]; U1 – напряжение [В]; I1 – сила тока [А]; Передаваемая мощность: P2=U2I2; КПД без учета потерь: η=P1/P2, η – КПД [ед.]; P2 – мощность выходная.
Формулы косвенных погрешностей
Формула косвенной погрешности полезной мощности:
ΔP1 = P1(ΔU/U1 + ΔI/I1) [Вт];
Формула косвенной погрешности передаваемой мощности:
ΔP2 = P2(ΔU/U2 + ΔI/I2) [Вт];
Формула косвенной погрешности КПД без учета потерь: Δη=η(ΔP1/P1 + ΔP2/P2) [ед.];
Формула косвенной погрешности коэффициента трансформации:
ΔK=K(ΔU/U1 + ΔU/U2) [ед.];
Погрешности прямых измерений:
ΔU = 0,25 [В];
ΔI = 0,002 [А];
Исходные данные:
N1 = 140 [ед.];
N2 = 84 [ед.];
Kтеор. = 1,67 [ед.];
Таблица 1
№
| Uб. п.
| U1
| U2
| K
| ΔK
| R
| Ед. измерения/ № опыта
| В
| В
| В
| ед.
| ед.
| Ом
| 1
| 2
| 1,4
| 0,8
| 1,75
| 0,86
| 10
| 2
| 4
| 3,1
| 2
| 1,55
| 0,32
| 3
| 6
| 5
| 3,2
| 1,56
| 0,2
| 4
| 8
| 6,6
| 4,4
| 1,5
| 0,14
| 5
| 10
| 8,3
| 5,6
| 1,48
| 0,11
| 6
| 12
| 10
| 6,6
| 1,52
| 0,1
| 7
| 14
| 12
| 7,7
| 1,56
| 0,08
| Оценивая K по полученному графику (Рис.1), сравним полученное K с теоретическим значением:
(Kэксп – Ктеор)∙100%/Ктеор = (|1,5 – 1,67|) ∙100%/1,67 ≈ 10 %
Таблица 2
№
| Uб. п.
| U1
| U2
| I1
| I2
| P1
| P2
| ΔP1
| ΔP2
| η∙100%
| Δη∙100%
| R
| Ед. измерения/ № опыта
| В
| В
| В
| А
| А
| Вт
| Вт
| Вт
| Вт
| %
| %
| Ом
| 1
| 2
| 1,4
| 0,8
| 0,12
| 0,1
| 0,168
| 0,08
| 0,03
| 0,03
| 47,6
| 25,1
| 10
| 2
| 4
| 3,1
| 2
| 0,24
| 0,22
| 0,7
| 0,44
| 0,07
| 0,04
| 59,1
| 13,2
| 3
| 6
| 5
| 3,2
| 0,36
| 0,34
| 1,8
| 1,08
| 0,1
| 0,09
| 60,4
| 8,44
| 4
| 8
| 6,6
| 4,4
| 0,45
| 0,43
| 2,97
| 1,89
| 0,13
| 0,12
| 63,7
| 6,61
| 5
| 10
| 8,3
| 5,6
| 0,56
| 0,55
| 4,65
| 3,08
| 0,16
| 0,15
| 66,3
| 5,43
| 6
| 12
| 10
| 6,6
| 0,67
| 0,66
| 6,7
| 4,36
| 0,19
| 0,18
| 65
| 4,48
| 7
| 14
| 12
| 7,7
| 0,76
| 0,75
| 9,12
| 5,77
| 0,21
| 0,21
| 63,3
| 3,71
| Таблица 3
№
| Uб. п.
| U1
| U2
| I1
| I2
| P1
| P2
| ΔP1
| ΔP2
| η∙100%
| Δη∙100%
| R
| Ед. измерения/ № опыта
| В
| В
| В
| А
| А
| Вт
| Вт
| Вт
| Вт
| %
| %
| Ом
| 1
| 2
| 1,4
| 0,8
| 0,12
| 0,11
| 0,17
| 0,09
| 0,03
| 0,03
| 52,4
| 27,5
| 9
| 2
| 4
| 3,2
| 2
| 0,25
| 0,24
| 0,8
| 0,48
| 0,07
| 0,06
| 60
| 13,2
| 3
| 6
| 4,8
| 3,1
| 0,37
| 0,36
| 1,78
| 1,12
| 0,1
| 0,1
| 62,8
| 9,03
| 4
| 8
| 6,4
| 4
| 0,47
| 0,46
| 3,01
| 1,84
| 0,13
| 0,12
| 61,2
| 6,74
| 5
| 10
| 8,2
| 5,4
| 0,7
| 0,72
| 5,74
| 3,89
| 0,19
| 0,19
| 67,7
| 5,58
| 6
| 12
| 10
| 6,1
| 0,82
| 0,88
| 8,2
| 5,37
| 0,23
| 0,23
| 65,5
| 4,63
| 7
| 14
| 12,5
| 8
| 0,94
| 1
| 11,8
| 8
| 0,26
| 0,27
| 68,1
| 3,77
|
Таблица 4
№
| Uб. п.
| U1
| U2
| I1
| I2
| P1
| P2
| ΔP1
| ΔP2
| η∙100%
| Δη∙100%
| R
| Ед. измерения/ № опыта
| В
| В
| В
| А
| А
| Вт
| Вт
| Вт
| Вт
| %
| %
| Ом
| 1
| 2
| 1,4
| 0,8
| 0,15
| 0,14
| 0,21
| 0,11
| 0,04
| 0,04
| 53,3
| 27,7
| 8
| 2
| 4
| 3,2
| 2
| 0,27
| 0,26
| 0,86
| 0,52
| 0,07
| 0,07
| 60,2
| 13,1
| 3
| 6
| 4,8
| 3
| 0,4
| 0,4
| 1,92
| 1,2
| 0,11
| 0,11
| 62,5
| 9,09
| 4
| 8
| 6,2
| 4
| 0,58
| 0,64
| 3,6
| 2,56
| 0,16
| 0,17
| 71,2
| 7,79
| 5
| 10
| 9
| 5,8
| 0,64
| 0,82
| 5,76
| 4,76
| 0,18
| 0,22
| 82,6
| 6,31
| 6
| 12
| 11
| 7
| 0,9
| 0,98
| 9,9
| 6,86
| 0,25
| 0,26
| 69,3
| 4,34
| 7
| 14
| 12
| 8
| 1,02
| 1,12
| 12,2
| 8,96
| 0,28
| 0,3
| 73,2
| 4,09
| Таблица 5
№
| Uб. п.
| U1
| U2
| I1
| I2
| P1
| P2
| ΔP1
| ΔP2
| η∙100%
| Δη∙100%
| R
| Ед. измерения/ № опыта
| В
| В
| В
| А
| А
| Вт
| Вт
| Вт
| Вт
| %
| %
| Ом
| 1
| 2
| 1,4
| 0,8
| 0,15
| 0,15
| 0,21
| 0,12
| 0,04
| 0,04
| 57,1
| 29,6
| 7
| 2
| 4
| 3
| 1,9
| 0,29
| 0,29
| 0,87
| 0,55
| 0,08
| 0,08
| 63,3
| 14,5
| 3
| 6
| 5,3
| 3,4
| 0,5
| 0,57
| 2,65
| 1,94
| 0,14
| 0,15
| 73,1
| 9,38
| 4
| 8
| 7,2
| 4,5
| 0,68
| 0,76
| 4,89
| 3,42
| 0,18
| 0,2
| 69,9
| 6,7
| 5
| 10
| 8,8
| 5,6
| 0,82
| 0,92
| 7,22
| 5,15
| 0,22
| 0,24
| 71,4
| 5,55
| 6
| 12
| 11
| 7
| 0,98
| 1,1
| 10,78
| 7,7
| 0,27
| 0,29
| 71,4
| 4,45
| 7
| 14
| 12,5
| 8
| 1,14
| 1,3
| 14,25
| 10,4
| 0,31
| 0,34
| 73
| 3,98
|
Таблица 6
№
| Uб. п.
| U1
| U2
| I1
| I2
| P1
| P2
| ΔP1
| ΔP2
| η∙100%
| Δη∙100%
| R
| Ед. измерения/ № опыта
| В
| В
| В
| А
| А
| Вт
| Вт
| Вт
| Вт
| %
| %
| Ом
| 1
| 2
| 1,4
| 0,8
| 0,15
| 0,15
| 0,21
| 0,12
| 0,04
| 0,04
| 57,1
| 29,6
| 6
| 2
| 4
| 3
| 1,8
| 0,37
| 0,33
| 1,11
| 0,59
| 0,1
| 0,09
| 53,5
| 12,5
| 3
| 6
| 4,7
| 3
| 0,47
| 0,5
| 2,21
| 1,5
| 0,13
| 0,13
| 67,9
| 9,83
| 4
| 8
| 6,2
| 4
| 0,61
| 0,67
| 3,78
| 2,68
| 0,16
| 0,18
| 70,9
| 7,73
| 5
| 10
| 7,8
| 5
| 0,76
| 0,84
| 5,93
| 4,2
| 0,21
| 0,22
| 70,9
| 6,17
| 6
| 12
| 10,5
| 6,5
| 1,12
| 1,22
| 11,76
| 7,93
| 0,3
| 0,32
| 67,4
| 4,43
| 7
| 14
| 12
| 7,5
| 1,27
| 1,47
| 15,24
| 11,1
| 0,34
| 0,38
| 72,3
| 4,13
| Таблица 7
№
| Uб. п.
| U1
| U2
| I1
| I2
| P1
| P2
| ΔP1
| ΔP2
| η∙100%
| Δη∙100%
| R
| Ед. измерения/ № опыта
| В
| В
| В
| А
| А
| Вт
| Вт
| Вт
| Вт
| %
| %
| Ом
| 1
| 2
| 1,3
| 0,8
| 0,16
| 0,18
| 0,21
| 0,14
| 0,04
| 0,05
| 69,23
| 36,6
| 5
| 2
| 4
| 2,9
| 1,8
| 0,35
| 0,37
| 1,02
| 0,67
| 0,09
| 0,1
| 65,62
| 15,5
| 3
| 6
| 4,5
| 2,8
| 0,51
| 0,57
| 2,3
| 1,6
| 0,14
| 0,15
| 69,54
| 10,6
| 4
| 8
| 6
| 3,6
| 0,66
| 0,74
| 3,96
| 2,66
| 0,18
| 0,19
| 67,27
| 7,86
| 5
| 10
| 7,6
| 4,8
| 0,88
| 0,94
| 6,69
| 4,51
| 0,24
| 0,24
| 67,46
| 6,03
| 6
| 12
| 10,5
| 6
| 1,28
| 1,54
| 13,4
| 9,24
| 0,34
| 0,4
| 68,75
| 4,7
| 7
| 14
| 12
| 7
| 1,5
| 1,8
| 18
| 12,6
| 0,4
| 0,46
| 70
| 4,13
|
Графический материал
Рис. 1. Зависимость U1 от U2.
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VEKQAoQCf37QPQBKIUAABAFkQpAACALIhSAAAAWRClAAAAsiBKAQAAZEGUAgAAyIIoBQAAkAVRCgAAIAuiFAAAQBZEKQAAgCyIUgAAAFkQpQAAALIgSgEAAGRBlNpgzJgxbGDFihUmJ5gxY8axY8fM/SsAADRIiFIbsIzkA1Vk+/bt+J4pAIBGCFGqjJqamlWrVqWmpqakpGhdCwAAqApRqozi4uLBgwcHBARoXQgAAKgNUaqAysrKM2fOxMXFaV0IAABoAFGqgPz8/Pj4eBcXF3MTbN26NTAwUM2SAADkCwkJ0boE54AoVcCJEyeEh0jHjBljfBKvHt6RFRUVKEM/NaAMHZahhxp0VYbWJTgNRKkChMFpMkcBAKABQ5TagL8Mhg0gMgEAgEOU2kRKdiJfAQAaG0QpAACALIhSAAAAWRClAAAAsiBKAQAAZEGUAgAAyIIoBQAAkAVRCgAAIAuiFAAAQBZEKQAAgCyIUgAAAFkQpQAAALIgSgEAAGRBlAIAAMiCKAUA4JLWDKHHCaEfaF0IOCVEKQA0dixHSXb5pPdDyrQtBpwRohQAGjU+Rzl0pWAvRKkNxowZwwZE3+996NChjRs3VlRUeHl5hYWFvfzyy97e3loUCAC2Eebo+y+U0adYw2LAeSFKbcASlA9U3qZNm5577rnk5OTr16+vWrUqJycnJSVFiwIBwAaiHNWwEnB2iFIFpKamsgE3N7fRo0cnJiZqWw8AWIUcBQUhShV2+PDh4OBgrasAAEuQo6AsRKmSfvjhh+XLl2PvLoCeIUdBcYhSxRw9ejQrKyshIcFkV6qT0xlQhq5q4FDG/RxdRnb5JOGPE0I/MF5iI/lVgLIQpcrYvXt3QUFBUlJSx44dTU4QEhKicknG6MOJMvRTA8pQuQxhM8qZ6Ucbya9Cehlal+A0EKUKKC0tLSsrS0tLCwwM1LoWADABO3XBoRClNuAvg2ED/NWl1I/S45QpU/gply1b5ubmpnqBAGACchQcDVFqA9GdGayOBwBtSdmpCyAfohQAGibkKKgGUQoADRB26oKaEKUA0NAgR0FliFIAaFCQo6A+RCkANBzIUdAEohQAGgjkKGgFUQoADQFyFDSEKAWABgU5CupDlAKA0+NbUm1zdFDyTnrcMj9cwxpAE4hSAHBuolsxaIXlKBtAmjY2iFIAcFY6uZ8RH6IMcrQRQpQCgFNCjoJ+IEoBwPno5HxdYY4iRBszRCkAOBnkKOgNohQAnAlyFHQIUQoATgM5CvqEKLXBmDFj2IDxd30XFRV9/fXXNBAVFTVq1Ci1KwNoBBpFjv7L5c5jwHGFZwsOhii1AUtQPlB5FKLl5eUzZ86k4YULF/r7+z/zzDPqlwfQgDWiHOW4kPOduZB6hWfeQPErZG9v706dOsXGxtIaWPqzlOqLEKUK2LZt28iRI9u0aUPDNLBu3TpEKYCCGlWOkoqA4yEKz70hY3F47dq1srKy7OzsjIwMiU9RsC9ClCrg7NmzHTt2ZMOPPPLIuXPntK0HoCFpbDnKRdRzFRUKz78RoK40Ojq6pKREzkzs7osQpQqoq6vz8PBgw56enr/++qu29QA0GA0/R4UhyhlyFOxSU1NTWloaFBQkZyZ290WIUgW4u7tTfNI2EQ3X1tbysSpUoY/NTJShqxo4lHE/C2VMCP1AnSKNl5Kw+BI/vCi+jYJl3DkmKlx0wHG+H9XJX8RuMUuPOG7mBa92Ff7I76dt2bJlZmamaKSI8cFRIbv7IkSpAtq1a1dZWdm9e3caPnnyZNu2bY2nCQnR/tgHfThRhn5qQBlWy1D/+16Ma1CpHzU0o/yC9fMX0boESVg6VlVV5eTknDp1ytfXl7MWmeZI6YtMQpQq4Kmnnvrss88CAwNpmAYGDhyodUUATk8P3/eiZo6CTH5+fgkJCenp6aGhoZSI9nWlUvoikxClNuD/NmyA/5NERUXRBtGbb75JwwMGDMDpuwAy6eEQKXJUDtE+WHX4+Ph07tx5165dtB62ryu1uy9ClNrAwt/mZQM1iwFoqJCjYLfIyMji4mKKUsuTKd4XIUoBQEeQo2ATUYfzuIGtzxKyry9ClAKAXjTkHMVFLw0aohQAdCG7fBI/rFWOCq97QY6CdIhSANCXhtyPIkQbKEQpAGhP/UtIRZCjIAeiFAA0pvklpMhRkAlRCgBa0vxUI2GOLopvo9h8kaONCaIUADQjzNEJoR+oX4CoH1XsVnnI0UYGUQoA2hD1oyrf8VUYohz264I8iFIA0Jj6+3X1maOFhYVsoHfv3orV09Dx9y3y9vbu1KlTbGysv7+/1WfV1tbm5eUdOHDAxcVl0KBBI0aMkFkGohQANKDhKbsOOclIdOUoZ3+Okn379unhm2GcBbt10bVr18rKyrKzszMyMqw+JT8//+bNm3PnzqXh3Nzcbdu2Pf3003JqQJQCgNo0PGVXjRy1faeuMEdHjx7tLN9upivUlUZHR5eUlEiZeP/+/ZSjDz74IA2PGzduwYIFiFIAcFZqtqSO2qmrxB5dHuWo/Ioap5qamtLS0qCgIInTu7jc+8OdPXtW5tIRpQCgKk127eo/RxtYiF5O7+m4mbd+e7/wR/5wacuWLTMzM0UjRdje4LCwsPz8/JiYGBouKCioq6uTWRKiFADUo8muXR3egUG0R1epihonlo5VVVU5OTmnTp3y9fXlrH3F99ixY3Nzc1NSUlxdXZ999tnmzZvLrAFRCgAq0eRuDHrL0YbdjGrIz88vISEhPT09NDTU3d3dclfq5eX1+uuvszFffvllt27dZC4dUQoAanPuHLX3JKNGdWRUtA9WHT4+Pp07d961a9eAAQMsd6VZWVkvvfQSJe7Bgwc///zz6dOny1w0olQBVVVVeXl57KS7kJCQsWPH0vaR1kUB6Iv6h0iVz1EZV7ygGVVHZGRkcXExRanlyagNpf61traW1tjJyckBAQEyl4soVQBt4NAfhu0u2LhxI/0o5cImgMZD/UOkDs9RhKg+iLrPxw2sPivCQMEyEKUKOH36dGpqqru7Ow0PGzasrEybb4kC0CeVD5Eqf7Iu9uiCNYhSBYSFhZWUlAwdOrS+vn7Tpk30o9YVAegFcpRBiDZsiFIFxMbGZmRkrFmzhoZ9fX35C5sAGjkNc1T5nbr2nqaLEG0MEKUKyMnJCQ8Pj46O5gzHSrOzs43PB9PJncBQhq5q4Bp0Gdnlk/jhCaEfSFmEnDISFl/ihxfFt7F7VvwTQ853vjcy4DgnbYb79u0T/ti7d2/plfgWvHR3KKZIJ28MkAhRqgB60yclJfHHShMSEoyn0cPNqalOlKGfGhp2GXb0o3LKUKofvVuD0U5dq2UZHxblJPejxjcGokzV5GISEcS5dIhSBQQHB1MzOnToUM7QldKPWlcEoBeO3q+rh4Ojdh8WNXl3PQpRyrDWEmcB+oAoVcCECRNyc3PfeOMNGu7UqRP9qHVFAFpS7RJShXP0Xy73dZ/SDo7acVjUXIJKeS7oE6JUAf7+/lOnTtW6CoDGRcmTjOy694IdzShCVHH2ffW34vfVQZQCgJLUaUkdmKO2hyhnLUeRoA5lx1d/K35fHUQpAChGnbsaKZajRiF657Qja0+yqRlFiKrGpq/+Vvy+OohSAFCGCleRKnlw1K57L0g8MooEVZ9NX/2t+H11EKUAoABnylEH7NG1/E3XjTBETV4dpBTRL9+Or/5W/L46iFIAUJIjclTbZtTyHl1zIdoI41Mrdnz1t5T76tgEUQoAcjn0VCMNm1HO/B5d7MLVG5u++lvKfXVsgigFAP1S5gwjRa91QYhKocmdh6V/9bfi99WRG6XV1dXGl+PQmBdeeGH+/PkeHh5szJUrV3Jzc9euXXvw4MHa2lqqOyYmZtq0ac2aNbN7QfTcgICAIUOGzJw5k36DMl8IANjHQS2pMs2oEiHKGYIBCeoUJH71t+L31ZEbpYcPHzYeyfZZe3l5zZ07l4155ZVXVq9ezU9AzTW14ZSOCxYssHtBv/322+nTp5csWXL+/Pn169fbUz0AyOOgq1/k5qhxgnL27NHlfg/Ry+nzRJMhRHXCvq/+Vvy+OspEaVxc3CeffMLGXLt27d13333nnXc+++wzFqW3b9++evUqDdP2QpcuXTjD5bH0MoqKimyNUuGC6urq6Jf42muvbd26VearAAA7OOKsXQWaUYW+YXTIsTvxKQpRJCiYJDdKjxw5Qo/dunXjx3h7e6emplKUXrx4kY1p0qSJ6ALY+Ph4ilJqXn/66SeJ+2aNF+Tu7j58+HCKUn438rlz54KCglq1arV27VoqYNeuXTT83nvvPfvsszNnzqTkpj64V69e1DF37dpV3usGaOz0mKOKhqgIQhQsUKYrFSYc+f777+mxffv25p61bNkyznCwk51AJX1BfARSp3vy5EnWobNDx+Sbb77hDDt+o6Kibt26RcO1tbWUtYGBgceOHWPT7NixY9y4cXv37pX+GgFAxBE5KvzCUdWaUashigQFKRSO0hs3bhw6dIgdwh0xYoTJpyxZsiQlJYUGEhISvLy8bFoQn5q8sLCw2bNns2EWpRSiS5cufeGFF/bs2TNo0KArV660bt36iy++CA8P/+qrr55//vl///vftr5MAOA5uh/VpBlFiIIcsqK02oAz1YB27Nhx2rRpxtOPHz+e3WDilVdemTfPxF4Uywsy5uPjw5/Zy6J0xowZ1HfSQK9evdj4VatW9ex55+y7vn370uNDDz0kcbkAINLAchT7ckERsqLU+KxadoEK9Y6ZmZktWrQQ/tP69evj4+Orqqo8PDyoj5w4caKtC+rfv//OnXc/ctT+UiSPHj2axScbs3//fhcXF5ajhHWf3bt3ZzlKaAJ6fOyxx2x9pQDAOSBHZR0clbdH12SIVscUhYRYvaE9gJgCUfrqq68uWbLEwmRXrlyZNGlSXl4eDUdFRS1evPiRRx6xY0HCI7IPPPDAwIEDaaC+/u7nh2KS0rRr1678eUyHDh2ixz59+vDPYuGKKAWQSX6OikKULIpvY/1pJq9y4Wy7WtTCvtxqwxdYAthKVpSys2otnw27e/fuF1988ezZs61bt54/fz7fMgo1adKEM5xJJHFBt27dOnnyJNuB3K9fPzaStafUufLPKi8vp8fQ0FDRfBwRpadPn165cuXx48c9PT1HjhwZERGh+CIAtKXgrRhMNqMVVmPMrvstMJfTe5q8ABb7ckERCnSllqOU4pNylAYuX74cZ8D/U2VlZYcOHaQvaLKBcDzl1pw5c9gwi1I+Wbnfe1Dh5boOitILFy7Mmzdv1KhRiYmJdXV1RUVFiFJoYBS8FYM9R0btPSDK4T5/DR1/r11vb+9OnTrFxsb6+/tLfxbj4eGxdOlSOWU4PEqpKzU5vlmzZuy2h5RD9PjEE09YXRDP1dWVflmRkZFpaWnsng+cqSg17kqPHj3KOSBKV69ePWzYsPDwOysFLy8v+XdGBtAVBQ+RqpajSNDGg93w6Nq1a2VlZdnZ2RkZGRKfwuzdu/fEiRMya5AVpVVVVVanOXPmjOUJqIdr2rQpu9JU2QX9/PPPojG//PKL1fnYgZKeop0S9ObNmz169Bg7diy1y45YEIC21M5Re5tR4xwt65KiyQ3WQTXUlUZHR5eUlNj6xA0bNiQlJclcuvbfDFNYWDh58mT+JFtndPXq1UuXLs2aNYuG8/Ly8vPz4+PjtS4KQBmKHCK17UxdGXfQFYUon6BI0QavpqamtLQ0KCjIpmft37+/Xbt2rVq1krl07aN0z549Wpcgl5ubW0xMTPPmzWmYWlKTd0m2fkqFKlCGrmrgdF9Gdvkkq9NYJbyNEWc4U9fsrIxCtCLgOL94c/P3LXjJ5PjqmKLetpet87+I0zB3rrUi7t+u4g98tmzZMjMzUzRSRHT7+3Xr1o0fP15+RdpHaQPQvn17/pocc/RwsRp9OFGGfmrQfxmKHCKVulPXzNm5ln87Jg+IUifKGb7RpbXkInk6/4uoX4bWJUjC0pF9I9mpU6d8fX05o8g06eDBgy1atAgMDJRfA6JUAREREQUFBdSYcoYdvE69sxqAkZ+jNuzUtf2YqMmjoWwAx0QbJz8/v4SEhPT09NDQUHd3dyld6dq1a5V6tyBKFUBRWl1dPXXq1Nu3b/fo0YNlKoDzUi9HbQxRC20op9cQjVl6hB8ueLXRfCeVLRcsKcXHx6dz5867du0aMGCA1a60vLzcxcVFqe4fUaqMEQZaVwGgAJk5KilETR1Iqwg4btPuXD5BGR3mqDBEQR2RkZHFxcUUpVanpJY0OjpaqeUiSgHgHg1ylG9fzB+Zc64QNZmgjagfVZeo+3zcQMoT33rrLQXLQJQCwF0K5qhtIWqecx0TNQ5RJGgjgSgFgDvk5KiVZtTG60QtHxDlEKKgP4hSAFAxRy12ohZ6UJ5+chQ7coGHKAVo7IT3YbApRxUMUc7oTgt6PiCKHhREEKUAcJcyOWrXbf+E/ahuQxRtKJiDKAVo1Oy7xa7ZM4xkn1ikqxy1cDULEhSEEKUAjZcd30IqtRl18rNzEaJgE0QpQCNlx6lGpnPUzO1zLTAXopon6NvbbnLbEKJgM0QpQGMkzNEJoR9IeYp4py4l6L/un8Le70HjDCGq7c3TcSaRk+Lvtevt7d2pU6fY2Fh/f38pTzx9+vTKlSuPHz/u6ek5cuTIiIgIOWUgSgEaHVE/KiXDWI5uef7Juz8LQ9SuBOV004kiRJ0du+HRtWvXysrKsrOzMzIyrD7lwoUL8+bNGzVqVGJiYl1dXVFREaIUAKQSHRyVsl+Xb0bv5Shjy/3KjXO09dv7tY1Qk0dD05921cO3m4EdqCuNjo4uKSmRMvHq1auHDRsWHn7nCIWXl1dCQoLMpSNKARoLW3P0vj26why1JUQLCwuHHJsnHEMhKv3pjmChDXWWb+gEYzU1NaWlpUFBQVImPnz4sL+/PyXozZs3e/ToMXbsWE9PTzlLR5QCNAq2nmQk3qPLk5CjFJ9sgEJUmN7ahiiuClWT6Aw1ZYluBsIfLm3ZsmVmZqZopAjbG3z16tVLly7NmjWLM3zJdH5+fnx8vJySEKUADZ9NOapIiHKGHBX+k4Y5iqOhDRtLx6qqqpycnFOnTvn6+nJG3xgj4ubmFhMT07x5cxqmlnTq1Kkya0CUAjRwtvWj/3LZ8rzRSBtDlLs/RxGioAI/P7+EhIT09PTQ0FB3d3fLXWn79u3r65X8cnJEqZJmzJhx7Ngxq9/eDqAO2w6O2n55qCg+eRrmKG6toBOmv2XPwXx8fDp37rxr164BAwZYXg9HREQUFBRQY8oZdvD27Gniy4hsgihVzPbt22/fvq11FQB3ycpRu0JUtEeXUzdHEaJAIiMji4uLKUotT0ZRWl1dPXXqVFpp9+jRg2WqHIhSZdTU1KxatSo1NTUlRfydUAAqszVE77v4w/YQHT16tMlvGFUtRxGijZmo+3zcQMoTRxgoVQaiVBm0HTR48OCAgACtC4HGTmKODkreKf3EInM7cs3dXUHDEEV2giYQpQqorKw8c+ZMXFyc1oVAoya1GTXsyxWfW2RLiIoSlG9JtW1DEaKgIUSpAtg1SS4upr6m8Xc6ufQbZeiqBk65MoRf380ZbqtrPOeQ853FSw84ztchHL9v3z7jRfTu3fv3ae9OLPqybvmvxeoc7txu/n7pT7sqtXRl5yOTTsoAiRClCjhx4oTwEOmYMWOMTx7Tw93I6MOJMvRTg1JlSGpGjc7OHfT5ji3zw0MEZZjbi8uZ2pFr8kaArSVWbIa534a5Q6GOaEMb0htDkTK0LsFpIEoVIAxOkzkKoDiTXzVqIkfNhOgWwb279xmIJjN5HFTl04vUDFEAORClAM7HeidqfJGoIUS5+y/4M3k6rsklmmxDJdVqF4QoOBdEqcLQkoKjWbl7kak2lA2wELX1dFzOKEdVbkMRn6B/iFIA52C8R1eco2ZClG9DzZ2Oa+HInIYhigQFJ4IoBXACVvboWgxRKRe0GFNnjy7aUJCJv9eut7d3p06dYmNj/f39pT+Lkb83EVEKoGv2hWhcrx+4OyH6g/EMpe/IZRRPUNycCJTFgvDatWtlZWXZ2dkZGRnSn6UURCmATlnao2v+rCIWoiJWe1BOlX25lkMUl16AHNSVRkdHl5SUaLJ0RCmAjli/xMX8WUXGISolQTnDnRYuC35UJ0TRgIKyampqSktLg4KCJE4/fvz4Gzdu+Pn5RUZGDh482PI9dqxClALogn1nFVF8KtWGMirszkWINgYmNwqVIvpo8Ac+W7ZsmZmZKRopwvbrssebN2+eOXMmLy/v0qVLMr8cBlEKoDEFQ1RiG8o5eHcurgoFNbFcrKqqysnJOXXqlK+vLyftUKirq2uHDh0SExOnT5+OKAVwPvfis/zeSKsJypkJUekJypkK0YqKCpn3/ONwMhFozc/PLyEhIT09PTQ01N3d3XJXKuTi4kKZKnPpiFIAlZjb5SXxNgssPu0LUZP7cjmFmlH0oGDMyrfkOoaPj0/nzp137do1YMAAy13pRx99NHz48ICAgIsXL+bm5vbr10/mohGlAA5k+YjRhNAPxPdGEIRo4bl76wIF21DOkQmK+ARtRUZGFhcXU5RanqxPnz6LFi06f/5869at+/fvT7Eqc7mIUgDlWT3ngm2z85d/iL6IWxiiPJvik3HQAVGcSQT6Ieo+Hzew+qy+BgqWgSgFUIaF+LS0s+v+L+I2DlH5CcrYnaMWDoJyCFEAA0QpgFy2hij1oNyd+HyS37froDaUk9eJ4kwiAIkQpQD2sOEcIt7vx0Et9KCcXQnKqRWiSFAAkxClALaRE6KcovHJKBWiOI0IwG6IUgDrLJ9GZC5ERScTcUY52rt3b3PfbmaBgle23IvPbfflKBIUwCaIUgBLFNmRyxmFKGtD7biBuyI9KA6CAigLUaqAQ4cObdy4kVaLXl5eYWFhL7/8sre3t9ZFgSxyTscV4m+tIKTI0VBbE9TyibgcQhRABkSpAjZt2vTcc88lJydfv3591apVOTk5KSkpWhcFdrL+3Sz340/HFY7ke1Bhjip1PhFnY45avQyUtgLt2M8MADxEqQJSU1PZgJubG60uExMTta0H7GZTjrJDocK9uJwjLwzlJCco9t8CqAxRqrDDhw8HBwdrXQXYwNY29I7776vAOfKyFvnxySFBARwMUaqkH374Yfny5di760Rsy1FHHgrlbA9RHP4E0AlEqWKOHj2alZWVkJBgsiu141xNR0AZJLt80p3/lZv4pwmhH3BG5YWc7yyazNz3tPTu3dv46ZaxiX0LXhKNr44pqjYzn7e33TQ3t/Sn7/tES68Ebwxd1cDppgyQCFGqjN27dxcUFCQlJXXs2NHkBHo4rUMnZ5doW4YNbaipHpQzxKec72kRsnBli/ALRK12n5y8BhRvDF3VoKsytC7BaSBKFVBaWlpWVpaWlhYYGKh1LWCWpBA1823bbECRfbnSz8jF3fsAnAWiVAHUj9LjlClT+DHLli1zc3PTriK4y9zloZa/KJQx14My0kPU3Om4nGEvLivD0X0nADgUolQBlr+uHTRh+S5F5r4o9O7Iz3dsmR8ed67Q5BwUCVFqQ+/E57abojv2CSE7AZwFohQaDol3ymU3VeC4S8ZXhXIR9fRAIVpYaGcnaiE+J7UvuPcDLv0EaEAQpdAQSLxTrsk7E91hSFDKT/pP9C/2xed9qSkB4hPAqSFKwVlZ7UEpOAftZA3o3fg02YNyLESNmAtRc32nxPgUpqZOTtQEAJkQpeB8rPagfIiaaEC5OwlKGbZv3z7jHpQnzFEFsxMAGiREKTgNcwlavvMtNsDHp7j75O41oJyZHpT7PT5ZcF5Onyf8J+ywBQALEKWga1a+7IxdwfL8ZrPPt7gLlxly7G5q2hefSE0AQJSCHlluQO/utjV1O4U7hPFpKkH57BRBdgKAfRCloD3LJxDdF5/WGlDj+DQOTlv31nKITwCwCFEKWrJ6+PNOghrFJ7uFAv/j3Z23hYWUmqLZUWpuwmFOAHAwRCmo6m52Cr6VhU9Nnsn4FJ43tCXiziNLUJPxaVNJyE4AkAlRCo5lsu80jk/OzIUrfAPKnzfE77Dl54sLOgFAW4hScAhRgoqy0/TlnryIej4443r9cDl9oiEsw9gYm3bYouMEABUgSkEumX1n4bm7XwZw7/ygr3oOEfSaErMTqQkAWkGUgm2Ewfl7XppITc4oOCkyTaTmnaQM+30AxzgBwCkhSsEsU6nJmQxOPjX5sGTDJiOTQ2oCQMOCKIV7WHZaTk3OcPxSNIZPzSHcPOFJQLZGJofUBAAnhChVRlFR0ddff00DUVFRo0aN0rocK8y0mxzLTuOkFDaXd67UrG1lPE80mgDQaCFKFUAhWl5ePnPmTBpeuHChv7//M888o3VR5vLyEiVlH24s/099fg9OykvWUBonpR3NJc84MnEhCgA0MIhSBWzbtm3kyJFt2rShYRpYt26dhlHKX0ZCebmpNowN+z92bwKTPSUnLy85dJkA0IghShVw9uzZjh07suFHHnnk3LlzGhbDx6eykJQAAOYgShVQV1fn4eHBhj09PX/99Vdt67Eb8hIAwA6IUgW4u7tTfHp7e9NwbW0tH6tCW7duVascP37o1UerbHrm1q22TW+3H3/8UZ0F6bwGDmXcTw9l6KEGTjdl4LQGiRClCmjXrl1lZWX37t1p+OTJk23bthVNoOah0/sXhS4TAMDhEKUKeOqppz777LPAwEAapoGBAwdqXREAAKgHUaqAqKioqqqqN998k4YHDBighythAABANYhSZbxsoHUVAACgAUQpAACALIhSx9LDDQXHjBnDBlasWGF5Soc6dOjQxo0bKyoqvLy8wsLCqIln5zyr6eDBg59//nllZSXV8MQTT1ANDz74oMo1CM2YMePYsWNa/V34Nwaj4dvj9OnTK1euPH78uKen58iRIyMiIlQuQPSr8PDwWLp0qco1kKqqqry8PPqMcIZTZ8eOHevn52f1WYqrra2lMg4cOODi4jJo0KARI0aoX4PTQZQ6kE5uKMhWkaKVhfo2bdr03HPPJScnX79+fdWqVTk5OSkpKSrXQFn+pz/9qWvXrk2aNCktLf3oo4/S0tJUroG3ffv227dva7V0RtutK+bChQvz5s2jDc3ExMS6ujra+lQ/SoW/h7179544cULlApisrKxu3bq9/vrrnOG9Sj9mZGSoX0Z+fv7Nmzfnzp1Lw7m5udu2bXv66afVL8O5IEodSFc3FNRcamoqG3Bzcxs9ejStN9WvgZ0axgwdOnTDhg3q18DU1NTQ9gT9TtTfntCb1atXDxs2LDw8nIa9vLwSEhK0rYfeFUlJSZosmrpzeku4u7vTMP1OysrKNClj//79lKNsh824ceMWLFiAKLUKUepAurqhoK4cPnw4ODhYwwKoM/7iiy+oPdWqgOLi4sGDBwcEBGhVADN+/PgbN274+flFRkZSPS4uLurXQG8Gf39/SlDqhHr06DF27FhPT0/1y2AoRdq1a9eqlen7VDtaWFhYSUkJbeTV19dv2rSJftSkDCJ8J9B6TKsynAii1IEazA0FlfXDDz8sX75cw26M7eumjW5N9p6RysrKM2fOxMXFabJ0HturSQFGxeTl5V26dCkmJkb9Mq5evUqLnjVrFg1TGfn5+fHx8eqXwaxbt442L7RaemxsLL0n16xZQ8O+vr6ZmZmalEERTn8F9mYoKCig9ZgmZTgXRKkDSbmhYGNz9OjRrKwsakE07EopQujvQlv9S5Yseest019v7lAsLTRpAY25urp26NAhMTFx+vTpmkSpm5sbLbd58+Y0TC3p1KlT1a+BOXjwYIsWLdi9VjSRk5MTHh4eHR3NGY6VZmdn0x9F/TLor5Cbm0sbu/TeePbZZ9mfBixDlDqQ1RsKNja7d++mjdykpCR+v7dWaLNm6NChJSUlmiz9xIkTwqacumTNT/+hXKf1piaLbt++fX19vSaLFlm7du3o0aM1LKCiooI+HfyxUq0OG3t5ebFTn8iXX37ZrVs3TcpwLohSB8INBYVKS0vLysrS0tI03Oqnzfw///nP/v7+v/zyy4YNG7Q6VioMTg1z9KOPPho+fHhAQMDFixepC+nXr58mZURERNAGFmuI8/LyevbsqUkZ5eXltD2h7d3bg4ODqRmljTzO0JVqtecmKyvrpZdeokRnF49p0hk7HUSpA+nkhoL8ZTBsQKsVN60u6XHKlCn8mGXLlrm5ualZA62mP/zwwx9//LFFixZhYWETJkxQc+l606dPn0WLFp0/f75169b9+/enWNWkDIrS6urqqVOn3r59u0ePHprsZOYMLSnbs6ohekPSNs0bb7xBw506ddLq/UltaHp6em1tLW1YJCcna35ynFNAlDqWHm4oqPnOQ0YPZfQ10LqK+2j4a9HPb2OEgbY1aHLUXMTf31/DQ8W8CAOtq3AyiFIAAABZEKUAAACyIEoBAABkQZQCAADIgigFAACQBVEKAAAgC6IUAABAFkQpAACALIhSAAAAWRClAAAAsiBKAQAAZEGUAgAAyIIoBQAAkAVRCgAAIAuiFAAAQBZEKQAAgCyIUgA1JCUlLVy4cPbs2aLvdp4yZcr8+fPfeeedtLQ0+vHKlSu5ublr1649ePBgbW1tcHBwTEzMtGnTmjVrJnFB1dXVfn5+wjH03ICAgCFDhsycOdPHx0epVwQAPEQpgBoOHDhAj2FhYZbHv/LKK6tXr+b/taKiIj09ndJxwYIFEhd0+PBh0Zjffvvt9OnTS5YsOX/+/Pr16+0oHgAsQ5QCqIG6TM5UlArH3759++rVq3Pnzo2MjOzSpQuNycrKoi62qKjI1iiNi4v75JNP2Ji6uroVK1a89tprW7duVeCVAIARRCmAw506deqXX3556KGHRLtez549+9NPP7Vp0yYwMJB+bNKkSVlZmXCC+Ph4itKqqiqaTOK+2SNHjtBjt27d+DHu7u7Dhw+nKPXw8FDgxQCAEUQpgMN999139NijRw+T441bVd6yZcs4w8FOikOJy2JdadeuXdmP1OmePHmSHaAdOnSobXUDgDSIUgCHk3igVGTJkiUpKSk0kJCQ4OXlJXFZLEqNU5OWMnv2bOk1A4B0iFIAhzPXfZobX11dPX78+DVr1nCGE5HmzZsncUHVBib/ycfHR7R7GQCUgigFcLhDhw7R4xNPPCEav3fvXnr8wx/+IBy5fv36+Pj4qqoqDw8P6iMnTpwofUGsJe3fv//OnTvZmBs3blAkjx49+ptvvpHzEgDAAkQpgMOdO3eOHl1d7/u4HT169OzZs126dOnYsSMbc+XKlUmTJuXl5dFwVFTU4sWLH3nkEZsWxKJUeM7RAw88MHDgQBqor6+X9yIAwCxEKYDDBQQEnDlzZsqUKdRlUjreunWrsrKSHQelkWya3bt3v/jiixSurVu3nj9//rhx44zn06RJE85wJpG5BbHTd/lzjmhBJ0+enDZtGg3369dP6ZcFAHchSgEcLjExkfJsnYFwfGxsbFxcHBum+KQcpYHLly/HGfCTUe526NBByoJYVzrZQDje09Nzzpw58l4EAJiFKAVwOGo927dv/9FHH1VUVPz888+tWrXq2bMnheXIkSP5aagrNfncZs2aBQcH08CFCxc4UwdchUS3OnJ1dfX394+MjExLS2P3fAAAR0CUAqhhlIGFCc6cOWN5DkVFRU2bNmVXmppTVVVlT3EAIA+iFMA5FBYWTp48mdpZrQsBADFEKYBz2LNnj9YlAIBpiFIAAABZEKUAAACyIEoBAABkQZQCAADIgigFAACQBVEKAAAgC6IUAABAFkQpAACALIhSAAAAWRClAAAAsiBKAQAAZEGUAgAAyIIoBQAAkAVRCgAAIAuiFAAAQBZEKQAAgCyIUgAAAFkQpQAAALIgSgEAAGRBlAIAAMjiGhISonUNAAAATuz/Awxi/RnDiTwpAAAAAElFTkSuQmCC)
Рис. 2. Зависимость P2 от U2 при 5 ≤ R ≤ 10.
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