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Modeling and Simulation for Power Electronics and Electrical Drives

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Mosfet / IGBT Dynamics. Non linear gate-drain capacitance Cgd. 9.12.2003 ... Temperature dependence Mosfet ... Calculate losses in the mosfet and diode ... – PowerPoint PPT presentation

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Title: Modeling and Simulation for Power Electronics and Electrical Drives


1
Modeling and Simulation for Power Electronics and
Electrical Drives
Haus der Technik, München, 2003
  • dr. ir. P.J. van Duijsen Simulation Research

2
Contents
  • I - Introduction
  • II - Components
  • III - Models
  • IV - Simulation
  • V - Special models
  • VI - Tools
  • VII - Examples
  • VIII - Conclusions

3
I - Introduction
  • Identify the components
  • Models
  • Parameters

4
Identify the components
  • Different components require different models
  • First identify these components

5
Models
  • What can we model
  • Complexity of the model
  • Availability of parameter

6
Parameters
  • What is a model
  • Reflection of the users imagination, how a design
    should work

7
II - Components
  • Power Electronics
  • Electrical machine
  • Mechanical load
  • Main
  • Control

8
III - Models
  • Multilevel Modeling
  • Circuit model
  • Block Diagram
  • Modeling language

9
IV - Simulation
  • What is simulation
  • Mathematical methods
  • Programs

10
What is Simulation
  • Simulation is a prediction of what might happen

11
What can we simulate
  • Large simulations take a lot of time
  • Large simulations increase complexity and clarity

12
Methods and Programs
  • Mathematical methods
  • State Space
  • DAE
  • MNA
  • Various programs
  • Spice
  • Matlab/Simulink
  • Saber
  • Caspoc

13
Mathematical Methods
  • ODE (State Space)
  • Causal time varying systems
  • MNA
  • Circuit models
  • DAE
  • Equations
  • Mathematics

14
Various programs
  • Spice
  • Electronics (General)
  • Matlab/Simulink
  • Systems described by a Block Diagram (General)
  • Saber
  • Systems described by equations (General)
  • Caspoc
  • Systems and Circuits (PE ED)

15
V - Special models
  • Power Electronics
  • Semiconductor models
  • Heat sink
  • Parasistics
  • Analog / digital control
  • Embedded control
  • Electrical Machines
  • Machine models
  • Mechanical load

16
Semiconductor models
  • Mosfet / IGBT
  • Gate charge
  • Cgd non-linear behavior
  • Temperature dependent On-resistance Rds
  • Diode
  • Reverse recovery

17
Mosfet / IGBT Dynamics
  • Non linear gate-drain capacitance Cgd

18
Temperature dependence Mosfet
  • At T125 Celcius, the drain-source resistance is
    doubled from Ron to 2Ron

19
Spice diode model
  • Reverse recovery is modeled by a non-linear
    capacitor

20
Reverse recovery modeling
  • Model based on measurement

21
Reverse recovery
  • Reverse recovery is dependent on IF and di/dt

22
Heat sink models
  • Parameters from data sheet
  • Parameters from known structures
  • Parameters from FEM analysis

23
Parameters from a data sheet
  • Thermal resistance and thermal capacitance are
    from the manufacturers data sheet
  • Zth is modeled using parallel RC models
  • Calculate losses in the mosfet and diode
  • Calculate temperature and feed back into the
    semiconductors

24
Parameters from know structures
  • Calculate Rth Cth from geometry

25
Parameters from FEM analysis
  • Calculate Zth in FEM analysis and use it in the
    simulation

26
Parasitic inductance
  • Model parasitic inductance for simulating high
    turn-off voltages Vds

27
Analog / Digital control
  • Analog control as
  • Electric circuit using Opamp models
  • Block diagram (more efficient)
  • Digital control
  • Logical components
  • Modeling language (more efficient)

28
Block diagram vs Circuit model
  • Block diagram model for a PI control
  • 4 blocks
  • Calculation effort 4

29
Block diagram vs Circuit model
  • Circuit model for the PI control
  • No. of nodes 17 - 4
  • Calculation effort (4/3) (13)3

30
Using C/Pascal to create models
  • Replace blocks by C/Pascal code
  • Model complex control systems
  • Use the debugger to debug these models

31
Embedded Control
  • Embedded Control models

32
Machine models
  • Connections
  • Electrical properties
  • Mechanical properties
  • Model
  • State Space equations
  • Lumped circuit model
  • Reduced Order Model from FEM analysis

33
VI - Tools
  • Integrated Modeling and Simulation
  • Modeling Electrical machines
  • Connection to FEM tools
  • Modeling Power Electronics
  • Connection to Packaging analyzers
  • Modeling Control
  • Creating Embedded C code
  • Control design
  • Small signal modeling
  • Connection to design tools

34
VII - Example
  • Synchronous generator
  • PWM induction machine drive
  • Switched Reluctance Machine
  • Variable structure system in Caspoc and Simulink

35
Example - Synchronous machine
36
Example - PWM induction machine drive
37
Example - Switched Reluctance machine
  • Electric connections
  • u,I
  • Mechanical connect.
  • T,angular speed

38
Example - Variable structure system in Caspoc
and Simulink
  • Caspoc
  • Inverter
  • Machine
  • Load

39
Example - Variable structure system in Caspoc
and Simulink
  • Simulink
  • VSS Control
  • Comparison switched Caspoc model with averaged
    model in Simulink

40
Example Switched Reluctance Machine (SRM)
  • Design of the SRM in Tesla
  • FEM analysis of the SRM in ANSYS
  • Reduced order model from ANSYS in Caspoc
  • Design of the power electronics and control in
    Caspoc
  • Export of the control algorithm to Embedded
    C-code for the microprocessor

41
Geometric design in Tesla
42
FEM analysis in ANSYS
43
Complete model and simulation in Caspoc
44
Embedded C-code for the control
45
Conclusions - SRM
  • Export of C code from Block diagram
  • Including the exported code in the simulation
  • Debugging during simulation

46
VIII - Conclusions
  • A model is a reflection of the users imagination,
    how a design should work!
  • Simulation is a prediction of what might happen!
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