Course Code: simulinkcontrolandmodel
Duration: 35 hours
Prerequisites:
  • Basic concept of undergraduate-level mathematical knowledge such as linear algebra, probablilty theory and statistics, as well as matrix
  • Basic computer operations
  • Preferably basic concept of another high-level programming language, such as C, PASCAL, FORTRAN, or BASIC, but not essential
Overview:

In this instructor-led, live training, participants will learn the fundamentals of control system design and model management as they examine different case studies and step through the creation of a various model.

Course Outline:

Simulink system and basic modeling

  • Creating and modifying a Simulink model
  • Introduction to system dynamics simulation
  • Comparisons and decision statements
  • PWM conversion system
  • Zero-crossing detection method
  • Introduction to Matlab Function, S Function, Level2 S Function modules
  • Modeling discrete systems
  • Modeling continuous systems
  • D / A and A / D conversion
  • Introduction to Solver behavior process
  • System dynamics and discontinuities
  • Algebraic loops
  • Bus signals
  • Package
  • Conditionally executed subsystems
  • Enabled subsystem
  • Triggered subsystem
  • Subsystem referencing

Simulink control system design

  • Control system design standard process and Simulink typical scenarios
  • Overview of model representations and corresponding Simulink models
  • Control system simulation and test standard process definition and Simulink typical scenarios
  • MIMO system controller design standard process and Simulink typical scenarios
  • MIMO system observer design standard process and Simulink typical scenarios
  • PID controller design standard process and Simulink typical scenarios
  • Time domain system identification and Simulink typical scenarios
  • Frequency domain system identification and Simulink typical scenarios
  • Parameter identification and Simulink typical scenarios
  • Simulink to build the control system performance analysis (controllability, observability, stability, time domain performance, frequency domain performance) (MIMO system)

Simulink model management and architecture

  • Control System Architecture Design Guidelines
  • Component stubs
  • Requirements linking
  • Component Interface Design
  • Bus objects
  • System Component Features, Virtual Subsystems, Atomic Subsystems

Simulink code generation

  • Code generation used in DSP