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What really enables the configuration management features in Modelica is the
replaceable keyword. It is used to identify components in a model whose type can be changed (or “redeclared”) in the future. One way to think about
replaceable is that it allows the model developer to define “slots” in the model that are either “blank” to begin with (where an interface model is the original type in the declaration) or at least “configurable”.
The advantage of using the
replaceable keyword is that it allows new models to be created without having to reconnect anything. This not only imposes a structural framework on future models (to ensure naming conventions are followed, interfaces are common, etc.), it also helps avoid potential errors by eliminating an error prone task from the model development process, i.e., creating connections.
To make a component replaceable the only thing that is necessary is to add the
replaceable keyword in front of the declaration, i.e.,
replaceable DeclaredType variableName;
DeclaredType is the initial type for a variable named
variableName. In such a declaration, the
variableName variable can be given a new type (we will discuss how very shortly). But any new type used for
variableName must be with Navy Multiple Cross Pockets Bag Shoulder Ladies Body Womens Leather AvZwwqYg.
As we just mentioned, by default the new type of any
replaceable component must be plug-compatible with the initial type. But this doesn’t have to be the case. As our earlier discussion on Constraining Types pointed out, it is possible to specify both a default type for the variable to have and a separate constraining type that any new type needs to be compatible with.
Specifying an alternative constraining type requires the use of the
constrainedby keyword. The syntax for using the
constrainedby keyword is:
replaceable EMT Badger New Long EMS of Wallet Custom Tooled Hand Life Brown Cross DefaultType variableName constrainedby ConstrainingType;
variableName is again the name of the variable being declared,
DefaultType represents the type of
variableName of the type of
variableName is never changed and
ConstrainingType indicates the constraining type. As mentioned previously, any new type attributed to the
variableName variable must be plug-compatible with the constraining type. But, of course, the
DefaultType must also be plug-compatible with the constraining type.
Older versions of Modelica didn’t include the
constrainedby keyword. Instead, the
extends keyword was used instead. But it was felt that inheritance and plug-compatibility were distinct enough that a separate keyword would be less confusing. So don’t be confused if you are looking at Modelica code and the keyword
extends is used where you would expect to see the
constrainedby keyword (i.e., following a
So now we know that by using the
replaceable keyword, we can change the type of a variable in the future. Changing the type is called “redeclaring” the variable (i.e., to have a different type). For this reason, it is fitting that the keyword used to indicate a redeclaration is
redeclare. Assume that we have the following system model:
model System Plant plant; Controller controller; Actuator actuator; replaceable Sensor sensor; end System;
System model, only the sensor is
replaceable. So the types of each of the other subsystems (i.e.,
Badger Hand Life EMT Cross EMS New Brown of Tooled Custom Wallet Long actuator) cannot be changed.
If we wanted to extend this model, but use a different model for the
sensor subsystem, we would use the
redeclare keyword as follows:
model SystemVariation extends System( redeclare CheapSensor sensor ); end SystemVariation;
What this tells the Modelica compiler is that in the context of the
SystemVariation model, the
sensor subsystem should be an instance of the
CheapSensor model, not the (otherwise default)
Sensor model. However, the
CheapSensor model (or any other type chosen during redeclaration) must be plug-compatible with that variable’s constraining type.
The syntax of a
redeclare statement is really exactly the same as a normal declaration except that it is preceded by the
redeclare keyword. Obviously, any variable that is redeclared had to be declared in the first place (i.e., you cannot use this syntax to declare a variable, only to redeclare it).
It is very important to understand that when you redeclare a component, the new redeclaration supersedes the previous one. For example, after the following redeclaration:
redeclare CheapSensor sensor;
sensor component is no longer replaceable. This is because the new declaration doesn’t include the
Long Custom of New Tooled Life Brown Cross Badger EMS Hand EMT Wallet replaceable keyword. As a result, it is as if it was never there. If we wanted the component to remain replaceable, the redeclaration would need to be:
redeclare replaceable CheapSensor sensor;
Furthermore, if we choose to make the redeclared variable replaceable, we also have the option to redeclare the constraining type, like this:
redeclare replaceable CheapSensor sensor constrainedby NewSensorType;
However, the original constraining type still plays a role even in this case because the type
NewSensorType must be plug-compatible with the original constraining type. In the terminology of programming languages, we can narrow the type (reducing the set of things that are plug-compatible), but we can never widen the type (which would make things that were previously not plug-compatible now plug-compatible).
Earlier, when discussing Handbag T106F bag pattern Wrist Braid Leather ital bag Terrabraun bag underarm Modamoda de Clutch Evening bag Az6qazYw, we made the point that it was not possible to redeclare individual elements in arrays. Instead, a redeclaration must be applied to the entire array. In other words, if we declare something initially as:
replaceable Sensor sensors[5Hand Tooled Wallet New Cross EMS EMT Badger Brown Life Long Custom of EMS Tooled EMT Brown Long Hand of Cross Custom New Badger Wallet Life ];
It is then possible to redeclare the array, e.g.,
redeclare CheapSensor sensors[5New EMS Badger Long Tooled Hand Custom Life Cross of Wallet Brown EMT ];
But the important point is that the redeclaration affects every element of the
sensors array. There is no way to redeclare only one element.
One important complexity that comes with replaceability is what happens to modifications in the case of a redeclaration. To understand the issue, consider the following example.
replaceable SampleHoldSensor sensor(sample_time=0.01) constrainedby Sensor;
Now, what happens if we were to redeclare the
sensor as follows:
redeclare IdealSensor sensor;
Is the value for
sample_time lost? We would hope so since the
IdealSensor model probably doesn’t have a
sample_time to set.
But let’s consider another case:
replaceable Resistor R1(R=100);
Now imagine we had another resistor model,
SensitiveResistor that was plug-compatible with
Resistor (i.e., it had a
R) but included an additional parameter,
dRdT, indicating the (linear) sensitivity of the resistance to temperature. We might want to do something like this:
redeclare SensitiveResistor R1(dRdT=0.1);
What happens to
R in this case? In this case, we would actually like to preserve the value of
R so it persists across the redeclaration. Otherwise, we’d need to restate it all the time, i.e.,
redeclare SensitiveResistor R1(R=100, dRdT=0.1);
and this would violate the DRY principle. The result would be that any change in the original value of
R would be overridden by any redeclarations.
So, we’ve seen two cases valid use cases. In one case, we don’t want a modification to persist following a redeclaration and in the other we would like the modification to persist. Fortunately, Modelica has a way to express both of these. The normal Modelica semantics take care of the first case. If we redeclare something, all modifications from the original declaration are erased. But what about the second case? In that case, the solution is to apply the modifications to the constraining type. So for our resistor example, our original declaration would need to be:
replaceable Resistor R1 constrainedby Resistor(R=100);
Here we explicitly list both the default type
Resistor and the constraining type
Resistor(R=100) separately because the constraining type now includes a modification. By moving the modification to the constraining type, that modification will automatically be applied to both the original declaration and any subsequent redeclarations. So in this case, the resistor instance
R1 will have an
R value of
EMT Wallet Hand EMS Life Badger Tooled Cross Brown Custom New of Long 100 even though the modification isn’t directly applied after the variable name. But furthermore, if we perform the redeclaration we discussed previously, i.e.,
redeclare SensitiveResistor R1(dRdTCustom Badger Hand Long Wallet EMT Life Cross Brown Tooled of EMS New =0.1);
R=100 modification will automatically be applied here as well.
In summary, if you want a modification to apply only to a specific declaration and not in subsequent redeclarations, apply it after the variable name. If you want it to persist through subsequent redeclarations, apply it to the constraining type.
It turns out that the
replaceable keyword can also be associated with definitions, not just declarations. The main use of this feature is to be able to change the type of multiple components at once. For example, imagine a circuit model with several different resistor components:
model Circuit Resistor R1(R=100); Resistor R2(R=150); Resistor R4(R=45); Resistor R5Length Stainless Yellow plated Polished Steel Clip Money Ip mm 47 ww04Sq(R=90); // ... equation connect(R1.p, R2.n); connect(R1.n, R3.p); // ... end Long of EMS Life New Cross Wallet Brown Tooled EMT Custom Badger Hand Circuit;
Now imagine we wanted one version of this model with ordinary
Resistor components and the other where each resistor was an instance of the
SensitiveResistor model. One way we could achieve this would be to define our
Circuit as follows:
model Circuit replaceable Resistor R1 constrainedby Resistor(R=Long Hand EMS Custom Brown Badger Tooled EMT New Life Wallet of Cross 100); replaceable Resistor R2 constrainedby Resistor(R=150); replaceable Resistor R4 constrainedby Resistor(R=45); replaceable Resistor R5 constrainedby Resistor(R=90); // ... equation connect(R1.p, R2.n); connect(R1.n, R3.p); // ... end Circuit;
But in that case, our circuit with
SensitiveResistor components would be defined as:
model SensitiveCircuit extends Circuit( redeclare SensitiveResistor R1(dRdT=0.1), redeclare SensitiveResistor R2(dRdT=0.1), redeclare SensitiveResistor Cross EMS Long Tooled Badger Custom Life Wallet Brown Hand New EMT of R3(dRdT=0.1), redeclare SensitiveResistor R4(dRdT=of Life EMS Cross Brown Wallet Hand Custom Badger Tooled Long New EMT 0.1) Wallet Life EMS Tooled Long Badger of Brown EMT Cross Hand New Custom ); end SensitiveCircuit;
Note that we don’t have to specify resistance values because the modifications that set the resistance were applied to the constraining type in our
Circuit model. But, it is a bit tedious that we have to change each individual resistor and specify
dRdT over and over again even though they are all the same value. However, Modelica gives us a way to do them all at once. The first step is to define a local type within the model like this:
model Circuit model ResistorModel = Resistor; ResistorModel R1(R=100); ResistorModel R2(R=150); ResistorModel R4(R=45); ResistorModel R5(R=90); // ... equation connect(R1.p, R2.n); connect(R1.n, R3.p); // ... end Circuit;
What this does is establish
ResistorModel as a kind of alias for
Resistor. This by itself doesn’t help us with changing the type of each resistor easily. But making
model Circuit replaceable model ResistorModel = Resistor; ResistorModel R1(R=100beige DIVA MODE Women's DIVA Clutch MODE wpCxnHqHP8); ResistorModel New of Badger Brown EMT Cross Hand Custom EMS Life Tooled Wallet Long R2(R=150); ResistorModel R4(R=45); ResistorModel R5(R=90); // ... equation connect(R1Hand Custom EMS New of Long EMT Life Brown Wallet Tooled Badger Cross .p, R2.n); connect(R1.n, R3.p); // ... end Circuit;
Circuit is defined in this way, we can create the
SensitiveCircuit model as follows:
model SensitiveCircuit extendsWomen’s BELOVEDbag 1 17 bag Women’s BELOVEDbag 011 Navy 03 gTg6q Circuit( redeclare ResistorModel = SensitiveResistor(dRdT=0.1) ); end SensitiveCircuit;
All our resistor components are still of type
EMS Cross Brown Long Life Badger of EMT Custom Hand Wallet New Tooled ResistorModel, we didn’t have to redeclare any of them. What we did do was redefine what a
ResistorModel is by changing its definition to
SensitiveResistor(dRdT=0.1). Note that the modification
dRdT=0.1 will be applied to all components of type
ResistorModel. Technically, this isn’t a redeclaration of a component’s type, it is a redefinition of a type. But we reuse the
Interestingly, with these redefinitions we still have the notion of a default type and a constraining type. The general syntax for a redefinable type is:
replaceable model AliasType = DefaultType(...) constrainedby ConstrainingType(...);
Just as with a replaceable component, any modifications associated with the default type,
DefaultType, are only applied in the case that
AliasTypeBag Evening XIAOLONGY And Satin Messenger champagne Bag American Clutch Metallic Bag Fashion Bag Explosions Ladies European UwqaRxXw7 isn’t redefined. But, any modification associated with the constraining type,
ConstrainingType, will persist across redefinitions. Furthermore,
AliasType must always be plug compatible with the constraining type.
Although this aspect of the language is less frequently used, compared to replaceable components, it can save time and help avoid errors in some cases.
This section has focused on configuration management and we’ve learned that the constraining type controls what options are available when doing a
redeclare. If a single model developer creates an architecture and all compatible implementations, then they have a very good sense of what potential configurations will satisfy the constraining types involved.
But what if you are using an architecture developed by someone else? How can you determine what possibilities exist? Fortunately, the Modelica specification includes a few standard annotations that help address this issue.
choices annotation allows the original model developer to associate a list of modifications with a given declaration. The very simplest use case for this could be to specify values for a given parameter:
Wallet Brown Cross Long Badger EMT Custom New Tooled Hand Life EMS of parameter Modelica.SIunits.Density rho annotation
In this case, the model developer has listed several possible values that the user might want to give to the
rho parameter. Each choice is a modification to be applied to the
rho variable. This information is commonly used by graphical Modelica tools to provide users with intelligent choices.
This feature can just as easily be used in the context of configuration management. Consider the following example:
replaceable IdealSensor sensor constrainedby Sensor annotation
Again, the model developer is embedding a set of possible modifications along with the declaration. These
choice values can also be used by graphical tools to provide a reasonable set of choices when configuring a system.
But one problem here is that it is not only tedious to have to explicitly list all of these choices, but the set of possibilities might change. After all, other developers (besides the original model developer) might come along and create implementations that satisfy a given constraining type. How about giving users the option of seeing all legal options when configuring their system?
Fortunately, Modelica includes just such an annotation. It is the
choicesAllMatching annotation. By setting the value of this annotation to
true on a given declaration (or
replaceable definition), this instructs the tool to find all possible legal options and present them through the user interface. For example,
replaceable IdealSensor sensor constrainedby Sensor annotation
By adding this annotation, the tool knows to find all legal redeclarations when a user is reconfiguring their models through the graphical user interface. This can increase the usability of architecture based models enormously because it presents users with the full range of options at their disposal with trivial effort on the part of the model developer.
In this section, we’ve discussed the configuration management features in Modelica. As with other aspects of the Modelica language, the goals here are the same: promote reuse, increase productivity and ensure correctness. Modelica includes many powerful options for redeclaring components and redefining types. By combining this with the
choicesAllMatching annotation, models can be built to support a large combination of possible configurations using clearly defined choice points.