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MULTIVARIABLE CONTROL SYSTEMS TOOLBOX

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NONLINEAR BACKSTEPPING ... Back stepping controller synthesis We consider that all the state vector is measurable SIMULINK bloc diagram of the controller We ... – PowerPoint PPT presentation

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Title: MULTIVARIABLE CONTROL SYSTEMS TOOLBOX


1
NONLINEAR BACKSTEPPING CONTROL WITH OBSERVER
DESIGN FOR A 4 ROTORS HELICOPTER L. Mederreg, F.
Diaz and N. K. Msirdi LRV Laboratoire de
Robotique de Versailles, Université de Versailles
Saint Quentin en Yvelines, 10, avenue de
lEurope 78140, Vélizy, France.
2
OUTLINE
3
Introduction
  • Thanks to its special configuration, the 4 rotor
    helicopter allows to achieve many tasks in
    different fields.
  • Symmetry of the platform geometry
  • Low weight
  • Low cost
  • Autonomous flight ? Non linear control law
    Synthesis.
  • Complexity of the dynamical system
  • Presence of Perturbations due to the wind
  • Unavailability of some state variables

4
4 rotors Helicopter model Presentation
5
(No Transcript)
6
The state representation is given by
7
Back stepping controller synthesis
We consider that all the state vector is
measurable
System of 4 equations 4 unknowns
8
SIMULINK bloc diagram of the controller
9
Back stepping controller synthesis with observer
  • We shall observe the absolute velocity vector
  • We consider that all the other parameters are
    measurable

Where V is a LYAPUNOV candidate function
  • We include in the expression of V the observing
    errors to be cancelled

10
Simulation and results
  • Simulation of a vertical helix trajectory flight
    in presence of perturbations (7 newton
    front wind blowing)
  • The controller gains are adjusted by doing
    intensive simulations

11
3D Tracking trajectory
12
Tracking errors for the BACKSTEPPING controller
13
Observation Errors for the BACKSTEPPING Observer
14
Tracking Errors for the BACKSTEPPING controller
with Observer
15
Conclusion
  • This approach has shown
  • Good robustness of the Controller
  • Good convergence of the couple controller
    observer
  • allows to decrease the number of the required
    sensors
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