Control Engineering

18/04/2017

  • Control Engineering (2 ECTS): LC : 10h, TC: 5h, LW: 5h
  • Coordinator: Denis Perret
  • Teacher: Denis Perret
    • linear systems, transfer functions
      • Laplace transform
      • transfer function
      • Fourier series
      • Fourier transform
    • Frequency-domain analysis of linear systems
      • Bode plot
      • Nyquist plot
    • Analysis of linear feed back systems
      • stability analysis: Routh-Hurwitz criterion, gain margin, phase margin
      • risetime, overshoot, velocity error, position error.
      • controllers: proportionnal, integral, derivative, phase correctors.
    • Analysis of non linear systems (useful?)
      • saturation, hysteresis, harmonic balance…
    • Analysis of discrete-time signals
      • Spectral analysis, Nyquist Shannon sampling theorem.
      • Z transform
      • Discrete-time equivalents to continous-time systems
    • Stability and performance of discrete-time systems
      • stability criterions, position and velocity errors, dynamic performances.
    • discrete-time control systems
      • pole placement
      • discretization of continous-time controllers
      • polynomial-based method
      • State-space representation of continuous-time systems
      • State variables
      • State-space equations
      • State-transition matrix
      • Controllability, observability
      • Relationship transfer function and state-space representation
    • State-space representation of discrete-time systems
      • same as above but discrete-time
    • State feedback control
      • principles, pole placement
      • observer, estimator, predictor
      • Kalman filter
      • Linear-quadratic-gaussian control.
  • Tutorial:
    • Design of basic controllers.
  • Lab work:
    • Matlab and simulink
Students should have some prerequisites in signal theory.