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Automatic control : mono-variable system control (AU-CM)

Introduction to fundamental concepts of automatic control, to create command system

Introduction

Definition – Control law components – Control loop

Discover PID controller

Which systems? – P, PI, PD – Settings

Initiation to LTI systems

Definition – Derivation operator – Transfer function – Stability

Study time and frequency behavior

Transitional and asymptotic behavior – Bode, Nyquist and Black diagrams – Stability margin

Use compensating control

Introduction – Robustness and performances properties – Trap

Regulation of systems

Pure gain – Delayed gain – Pure integrator – First-order systems – Delayed first-order systems – Second-order systems

Implement numerical controllers

Discretization – Anti-saturation – Initialisation

Use internal model control

Principle – Model inversion – Robustness – Settings

Use feedforward

Principle – Different types – Model inversion

Educational objectives

  • getting used to automatic control
  • know properties, graphical representation and characteristics of these systems
  • understand the principle of processes control
  • implement performance/robustness compromise into control law synthesis
  • regulate conventional mono-variable systems

Expected benefits

  • master basis of automatic control
  • be able to conceive control laws

Information

Duration: 2 days

Target audience:

  • engineers
  • technicians

Training level:

  • apprenticeship
  • technical subject

Prerequisites:

  • solid mathematical skills
  • basic knowledge of dynamic systems

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