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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. CellierSeptember 20, 2012
Object Oriented Modeling• The aim of this lecture is to illustrate the requirements of a
software environment for object-oriented modeling of physical systems and to show how these requirements can be met in practice.
• The lecture offers a first glimpse at features and capabilities of Dymola, a software environment created for the purpose of modeling complex physical systems in an object-oriented fashion. Dymola offers a graphical user interface.
• Some features of the underlying textual model representation, called Modelica, are also introduced.
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Table of Contents
• The causality of the model equations• Graphical modeling• Model structure in Modelica• Model topology in Modelica• Inheritance rules• Hierarchical modeling
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
The Causality of the Model EquationsU 0
i+
R
I 0
I0
R
U0 = f(t)
i = U0 / R
I0 = f(t)
u = R· I0
Identical Objects
Different Equations
The causality of the equations must not be predetermined. It can only be decided upon after the analysis of the system topology.
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Basic Requirements of OO Modeling
• Physical objects should be representable by mathematical graphical objects.
• The graphical objects should be topologically connectable.
• The mathematical models should be hierarchically describable. To this end, it must be possible to represent networks of coupled objects again as graphical objects.
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
An Example
model Circuit1 SineVoltage U0(V=10, freqHz=2500); Resistor R1(R=100); Resistor R2(R=20); Capacitor C(C=1E-6); Inductor L(L=0.0015); Ground Ground; equation connect(U0.p, R1.p); connect(R1.n, C.p); connect(R2.p, R1.n); connect(U0.n, C.n); connect(Ground.p, C.n); connect(L.p, R1.p); connect(L1.n, Ground.p); connect(R2.n, L.n);end Circuit1;
Dymola Modelica
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Graphical Information (Annotation)package CircuitLib annotation (Coordsys( extent=[0, 0; 504, 364], grid=[2, 2], component=[20, 20])); model Circuit1 annotation (Coordsys( extent=[-100, -100; 100, 100], grid=[2, 2], component=[20, 20])); Modelica.Electrical.Analog.Sources.SineVoltage U0(V=10, freqHz=2500) annotation (extent=[-80, -20; -40, 20], rotation=-90); Modelica.Electrical.Analog.Basic.Resistor R1(R=100) annotation (extent=[ -40, 20; 0, 60], rotation=-90); Modelica.Electrical.Analog.Basic.Capacitor C(C=1E-6) annotation (extent=[-40, -60; 0, -20], rotation=-90); Modelica.Electrical.Analog.Basic.Resistor R2(R=20) annotation (extent=[0, -20; 40, 20]); Modelica.Electrical.Analog.Basic.Inductor L(L=0.0015) annotation (extent=[40, 20; 80, 60], rotation=-90); Modelica.Electrical.Analog.Basic.Ground Ground annotation (extent=[0, -100; 40, -60]); equation connect(U0.p, R1.p) annotation (points=[-60, 20; -60, 60; -20, 60], style(color=3)); connect(R1.n, C.p) annotation (points=[-20, 20; -20, -20], style(color=3)); connect(R2.p, R1.n) annotation (points=[0, 0; -20, 0; -20, 20], style(color=3)); connect(U0.n, C.n) annotation (points=[-60, -20; -60, -60; -20, -60], style(color=3)); connect(Ground.p, C.n) annotation (points=[20, -60; -20, -60], style(color=3)); connect(L.p, R1.p) annotation (points=[60, 60; -20, 60], style(color=3)); connect(L.n, Ground.p) annotation (points=[60, 20; 60, -60; 20, -60], style(color=3)); connect(R2.n, L.n) annotation (points=[40, 0; 60, 0; 60, 20], style(color=3)); end Circuit1;end CircuitLib;
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Models in Modelica
• Models in Modelica consist of a description of their model structure as well as a description of their embedding in the model environment:
model Model name Description of the model embedding; equation Description of the model structure;end Model name;
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Model Structure in Modelica• The model structure in Modelica consists either of a set of
equations, a description of the model topology, or a combination of the two types of model structure descriptions.
• A topological model description is usually done by dragging and dropping model icons from graphical model libraries into the modeling window. These models are then graphically interconnected among each other.
• The stored textual version of the topological model consists of a declaration of its sub-models (model embedding), a declaration of its connections (model structure), as well as a declaration of the graphical description elements (annotation).
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Model Topology in Modelica
Class name
Instance name
Modifier
Connection
Connector
model MotorDrive PI controller; Motor motor; Gearbox gearbox(n=100); Shaft Jl(J=10); Tachometer wl; equation connect(controller.out, motor.inp); connect(motor.flange , gearbox.a); connect(gearbox.b , Jl.a); connect(Jl.b , wl.a); connect(wl.w , controller.inp);end MotorDrive;
motor
controller
PIn=100
Jl=10
w l
w r
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Resistors in Modelica
Rivp vn
u
connector Pin Voltage v; flow Current i;end Pin;
model Resistor "Ideal resistor" Pin p, n; Voltage u; parameter Resistance R; equation u = p.v - n.v; p.i + n.i = 0; R*p.i = u;end Resistor;
Voltage
type ElectricPotential = Real (final quantity="ElectricPotential", final unit="V");type Voltage = ElectricPotential;
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Similarity Between Different Elements
Rivp vn
u
model Resistor "Ideal resistor" Pin p, n; Voltage u; parameter Resistance R; equation u = p.v - n.v; p.i + n.i = 0; R*p.i = u;end Resistor;
model Capacitor "Ideal capacitor" Pin p, n; Voltage u; parameter Capacitance C; equation u = p.v - n.v; p.i + n.i = 0; C*der(u) = p.i;end Capacitor;
Civp vn
u
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Partial Models and Inheritance
ivp vn
u
partial model OnePort Pin p, n; Voltage u; equation u = p.v - n.v; p.i + n.i = 0; end OnePort;
model Resistor "Ideal resistor" extends OnePort; parameter Resistance R; equation R*p.i = u;end Resistor;
model Capacitor "Ideal capacitor" extends OnePort; parameter Capacitance C; equation C*der(u) = p.i;end Capacitor;
ivp vn
u
R
ivp vn
u
C
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Decomposition and Abstraction
planetary1=110/50
C4=0.12 C5=0.12
planetary2=110/50
C6=0.1
2
bearing2
C8=0.1
2
dem
ultip
lex
shaftS=2e-3
S
planetary3=120/44
C11=0.12
shaftS1=2e-3
S
C12=0.1
2
bearing1bearing4
Cou
rtes
y T
oyot
a T
ecno
-Ser
vice
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Heterogeneous Modeling Formalisms
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
Simulation and Animation
Modeling Window
Animation Window
September 20, 2012
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Mathematical Modeling of Physical Systems
© Prof. Dr. François E. Cellier
References
• Brück, D., H. Elmqvist, H. Olsson, and S.E. Mattsson (2002), “Dymola for Multi-Engineering Modeling and Simulation,” Proc. 2nd International Modelica Conference, pp. 55:1-8.
• Otter, M. and H. Elmqvist (2001), “Modelica: Language, Libraries, Tools, Workshop, and EU-Project RealSim,” Modelica web-site.
September 20, 2012