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Lozano / Fantoni

Non-linear Control for Underactuated Mechanical Systems

Medium: Buch
ISBN: 978-1-4471-1086-6
Verlag: Springer
Erscheinungstermin: 17.10.2012
Lieferfrist: bis zu 10 Tage

This book deals with the application of modern control theory to some important underactuated mechanical systems, from the inverted pendulum to the helicopter model. It will help readers gain experience in the modelling of mechanical systems and familiarize with new control methods for non-linear systems.


Produkteigenschaften


  • Artikelnummer: 9781447110866
  • Medium: Buch
  • ISBN: 978-1-4471-1086-6
  • Verlag: Springer
  • Erscheinungstermin: 17.10.2012
  • Sprache(n): Englisch
  • Auflage: Softcover Nachdruck of the original 1. Auflage 2002
  • Serie: Communications and Control Engineering
  • Produktform: Kartoniert
  • Gewicht: 470 g
  • Seiten: 295
  • Format (B x H x T): 155 x 235 x 17 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

1 Introduction.- 1.1 Motivation.- 1.2 Outline of the book.- 2 Theoretical preliminaries.- 2.1 Lyapunov stability.- 2.3 Passivity and dissipativity.- 2.4 Stabilization.- 2.5 Non-holonomic systems.- 2.6 Underactuated systems.- 2.7 Homoclinic orbit.- 3 The cart-pole system.- 3.1 Introduction.- 3.2 Model derivation.- 3.3 Passivity of the inverted pendulum.- 3.4 Controllability of the linearized model.- 3.5 Stabilizing control law.- 3.3 Stability analysis.- 3.4 Simulation results.- 3.5 Experimental results.- 3.6 Conclusions.- 4 A convey-crane system.- 4.1 Introduction.- 4.2 Model.- 4.3 Passivity of the system.- 4.4 Damping oscillations control law.- 4.6 Simulation results.- 4.7 Concluding remarks.- 5 The pendubot system.- 5.1 Introduction.- 5.2 System dynamics.- 5.3 Passivity of the pendubot.- 5.4 Linearization of the system.- 5.5 Control law for the top position.- 5.6 Stability analysis.- 5.7 Simulation results.- 5.8 Experimental results.- 5.9 Conclusions.- 6 The Furuta pendulum.- 6.1 Introduction.- 6.2 Modeling of the system.- 6.3 Controllability of the linearized model.- 6.4 Stabilization algorithm.- 6.5 Stability analysis.- 6.6 Simulation results.- 6.7 Conclusions.- 7 The reaction wheel pendulum.- 7.1 Introduction.- 7.2 The reaction wheel pendulum.- 7.3 First energy-based control design.- 7.4 Second energy-based controller.- 7.5 Simulation results.- 7.6 Conclusions.- 7.7 Generalization for Euler-Lagrange systems.- 8 The planar flexible-joint robot.- 8.1 Introduction.- 8.2 The two-link planar robot.- 8.3 Control law for the two-link manipulator.- 8.4 Stability analysis.- 8.5 Simulation results.- 8.6 The three-link planar robot.- 8.7 Control law for the three-link robot.- 8.8 Stability analysis.- 8.9 Simulation results.- 8.10 Conclusions.- 9 The PPR planar manipulator.- 9.1 Introduction.- 9.2 System dynamics.- 9.3 Energy-based stabilizing control law.- 9.4 Convergence and stability analysis.- 9.5 Simulation results.- 9.6 Conclusions.- 10 The ball and beam acting on the ball.- 10.1 Introduction.- 10.2 Dynamical model.- 10.3 The control law.- 10.4 Simulation results.- 10.5 Conclusions.- 11 The hovercraft model.- 11.1 Introduction.- 11.2 The hovercraft model.- 11.3 Stabilizing control law for the velocity.- 11.4 Stabilization of the position>.- 11.5 Simulation results.- 11.6 Conclusions.- 12 The PVTOL aircraft.- 12.1 Introduction.- 12.2 The PVTOL aircraft model.- 12.3 Input-output linearization of the system.- 12.4 Second stabilization approach.- 12.5 Third stabilization algorithm.- 12.6 Forwarding control law.- 12.7 Simulation results.- 12.8 Conclusions.- 13 Helicopter on a platform.- 13.1 Introduction.- 13.2 General considerations.- 13.3 The helicopter-platform model.- 13.4 Dissipativity properties of the 3-DOF model.- 13.5 Control design.- 13.6 Simulation results.- 13.7 Conclusions.- 14 Lagrangian helicopter model.- 14.1 Introduction.- 14.2 Helicopter model.- 14.3 Energy-based control design.- 14.4 Analysis and simulations.- 14.5 Conclusions.- 15 Newtonian helicopter model.- 15.1 Introduction.- 15.2 Modeling a helicopter using Newton’s laws.- 15.3 New dynamic model for control design.- 15.4 Lyapunov-based tracking control design.- 15.5 Analysis.- 15.6 Simulations.- 15.7 Conclusions.