Моделирование систем автоматического управления с использованием моделей объектов¶
Модель системы автоматического управления (САУ) представляют в виде структурной схемы. Она содержит блоки, которые описывают динамику отдельных объектов. Например, исполнительный механизм, датчики и контроллеры. В данном материале рассмотрим функции для работы с моделью САУ. Определим способы задания моделей объектов, некоторые функции для структурных преобразований и построения временных характеристик.
Рассмотрим структурную схему САУ, которая содержит блоки фильтра $F(s)$, объекта управления $G(s)$, контроллера $C(s)$ и датчика $S(s)$.
Для работы с системами управления в Engee используется библиотека ControlSystems.jl.
Каждый из компонентов системы можно представить в виде модели объекта. Например, объект управления $G(s)$ задать в виде коэффициента усиления с двойным полюсом в s=-1, воспользовавшись функцией zpk()
. Контроллер, обозначенный $C(s)$, представить в виде ПИД регулятора, используя функцию pid()
. Модели $F(s)$ и $S(s)$ можно указать в виде передаточных функций, используя tf()
.
Out[0]:
TransferFunction{Continuous, ControlSystemsBase.SisoZpk{Int64, Int64}}
1
1--------------
(s + 1)(s + 1)
Continuous-time transfer function model
Out[0]:
TransferFunction{Continuous, ControlSystemsBase.SisoRational{Float64}}
0.6s^2 + 2.0s + 1.5384615384615383
----------------------------------
0.125s^3 + 0.5s^2 + 1.0s
Continuous-time transfer function model
Out[0]:
TransferFunction{Continuous, ControlSystemsBase.SisoRational{Int64}}
5
-----
s + 4
Continuous-time transfer function model
Out[0]:
TransferFunction{Continuous, ControlSystemsBase.SisoRational{Int64}}
1
-----
s + 1
Continuous-time transfer function model
Заданные передаточные функции элементов схемы можно комбинировать между собой. Например, получим передаточную функцию разомкнутой системы, используя оператор *
.
Out[0]:
TransferFunction{Continuous, ControlSystemsBase.SisoZpk{Float64, ComplexF64}}
(1.0s + 2.128916830187693)(1.0s + 1.2044165031456413)
24.0-------------------------------------------------------------------------------------------
(1.0s^2 + 3.999999999999999s + 7.999999999999997)(1.0s)(1.0s + 1.0)(1.0s + 1.0)(1.0s + 4.0)
Continuous-time transfer function model
Чтобы построить передаточную функцию замкнутой системы, воспользуемся функцией feedback()
.
Out[0]:
TransferFunction{Continuous, ControlSystemsBase.SisoZpk{Float64, ComplexF64}}
(1.0s + 4.000000000000038)(1.0s + 2.1289168301875057)(1.0s + 1.2044165031463534)(1.0s^2 + 1.9999999999994214s + 0.9999999999994851)
4.8----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
(1.0s + 1.0)(1.0s + 1.0)(1.0s + 3.433002308222685)(1.0s^2 + 5.173461151904168s + 9.378541159192764)(1.0s^2 + 0.21173364799880784s + 1.6173060165378987)(1.0s + 1.1818028918743357)
Continuous-time transfer function model
Получим передаточную функцию всей системы с учетом фильтра $F$. Для этого применим функцию series()
.
Out[0]:
TransferFunction{Continuous, ControlSystemsBase.SisoZpk{Float64, ComplexF64}}
(1.0s + 4.000000000000039)(1.0s + 2.1289168301875256)(1.0s + 1.2044165031460183)(1.0s^2 + 1.9999999999997238s + 0.9999999999997489)
4.8----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
(1.0s + 1.0)(1.0s + 1.0)(1.0s + 1.0)(1.0s + 3.433002308222685)(1.0s^2 + 5.173461151904168s + 9.378541159192764)(1.0s^2 + 0.21173364799880784s + 1.6173060165378987)(1.0s + 1.1818028918743357)
Continuous-time transfer function model
Все полученные функции можно проанализировать с помощью библиотеки ControlSystems.jl. Например, обратимся к временным характеристикам. Построим переходную характеристику системы, используя функцию step()
, и импульсную характеристику, используя impulse()
.
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