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Automatica 48 (2012) 2888-2893                         The 5th (Q1) in the subject area of Engineering, and
                                                       Subject category: Control and Systems Engineering




                                 Speaker: Ittidej Moonmangmee
                                 November 17, 2012
2/19
Key references for this presentation

Textbook:
[1] A.M. Bloch, Nonholonomic Mechanics and Control, Springer, Springer,
   New York, 2003.
[2] S. Sastry, Nonlinear Systems; Analysis, Stability, and Control, Springer,
   New York, 1999.
3/19
Holonomic vs Nonholonomic
                              Mechanical systems ex. Mobile robotics

         Holonomic
        (or integrable)
           Systems:




       Nonholonomic
      (or nonintegrable)
           Systems:
                           Electro-magnetics and Electromechanical systems




Ex.
4/19
1. Introduction
 A Squirrel Cage Induction Motor System:   A Nonholonomic Integrator System:




                                                     The Heisenberg System:




Geometric Nonlinear Control
 The Analytic Affine Control System:




 Drift-Free Control System:
5/19
1. Introduction (cont)

A Three-dimensional non-holonomic integrator system with drift terms:
6/19
1. Introduction (cont)

An Aside:
7/19
1. Introduction (cont)
                                       Analysis:
                                       For any constant output x3, the following
                                       condition must be fulfilled



Proof:

                                            Hence,


Meaning: The trajectory of vector  are closed orbits, which, under
consideration of linearity of the first two equations of (*), implies that input
vector u must generate closed orbits as well. This important property is
satisfied by amplitude and frequency modulated harmonic functions.
8/19
2. Optimal steering with sinusoids




          Proof (extended):
          Closed-loop system:

               For x1:
9/19
2. Optimal steering with sinusoids (cont)
10/19
3. Feedback control and stability
The nonlinear state controller:
[Grcar, Cafuta, Štumberger, Stankovic, and Hofer (2011)]




where               ,               ,        and     are design parameters.
The closed-loop system:

                                                              Initial condition


                                                              Must be satisfied
11/19
3. Feedback control and stability (cont)



 Sketch of Proof:

 Change of variables




                           Closed
 Equilibrium points                     Lyapunov function candidate
                            orbit

                                                                negative semidefinite


         Globally Asymptotically Stable         (by LaSelle’s theorem)
         (or (locally) exponentially stable)
12/19
3. Feedback control and stability (cont)




 This relation is valid not only in steady state but also during the
 transients, i.e. the nonlinear state controller always keeps the input
 norm minimal for the required output.
13/19
4. Singularity & time-optimal control of internal state

                                              The Time Optimal
                                              Controller:




 Given a desired value      and any initial
 internal state      determine the
 control inputs u1 and u2 such that the
 desired internal state magnitude
 according to



 is reached in minimum time.
15/19
4. Singularity & time-optimal control of internal state
16/19
5. Experimental results
Implementation example : Induction machine torque control
A Squirrel Cage Induction Motor System:



                             and estimator

                                                   where
17/19
5. Experimental results (cont)




       Time optimal control from the singular point
19/19
6. Conclusion

     A globally stabilizing nonlinear controller is proposed for a
     three-dimensional nonholonomic integrator with drift terms

     The optimal steering with sinusoids enabling steady state
     analysis, system inversion and calculation of the minimal input
     norm is introduced. The structure of the proposed feedback
     control provides amplitude and frequency modulation of the
     input vector that implicitly imposes periodic orbits in the
     internal state vector.

     The problem of singularity at zero initial states was solved by a
     time-optimal control scheme for the internal states

     The control proposition, successfully implemented for an
     induction machine torque control offers new possibilities and is
     conceptually different from existing IM control solutions

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A contribution to the control of the non holonomic integrator including drift (nov 17, 2012)

  • 1. Automatica 48 (2012) 2888-2893 The 5th (Q1) in the subject area of Engineering, and Subject category: Control and Systems Engineering Speaker: Ittidej Moonmangmee November 17, 2012
  • 2. 2/19 Key references for this presentation Textbook: [1] A.M. Bloch, Nonholonomic Mechanics and Control, Springer, Springer, New York, 2003. [2] S. Sastry, Nonlinear Systems; Analysis, Stability, and Control, Springer, New York, 1999.
  • 3. 3/19 Holonomic vs Nonholonomic Mechanical systems ex. Mobile robotics Holonomic (or integrable) Systems: Nonholonomic (or nonintegrable) Systems: Electro-magnetics and Electromechanical systems Ex.
  • 4. 4/19 1. Introduction A Squirrel Cage Induction Motor System: A Nonholonomic Integrator System: The Heisenberg System: Geometric Nonlinear Control The Analytic Affine Control System: Drift-Free Control System:
  • 5. 5/19 1. Introduction (cont) A Three-dimensional non-holonomic integrator system with drift terms:
  • 7. 7/19 1. Introduction (cont) Analysis: For any constant output x3, the following condition must be fulfilled Proof: Hence, Meaning: The trajectory of vector  are closed orbits, which, under consideration of linearity of the first two equations of (*), implies that input vector u must generate closed orbits as well. This important property is satisfied by amplitude and frequency modulated harmonic functions.
  • 8. 8/19 2. Optimal steering with sinusoids Proof (extended): Closed-loop system: For x1:
  • 9. 9/19 2. Optimal steering with sinusoids (cont)
  • 10. 10/19 3. Feedback control and stability The nonlinear state controller: [Grcar, Cafuta, Štumberger, Stankovic, and Hofer (2011)] where , , and are design parameters. The closed-loop system: Initial condition Must be satisfied
  • 11. 11/19 3. Feedback control and stability (cont) Sketch of Proof: Change of variables Closed Equilibrium points Lyapunov function candidate orbit negative semidefinite Globally Asymptotically Stable (by LaSelle’s theorem) (or (locally) exponentially stable)
  • 12. 12/19 3. Feedback control and stability (cont) This relation is valid not only in steady state but also during the transients, i.e. the nonlinear state controller always keeps the input norm minimal for the required output.
  • 13. 13/19 4. Singularity & time-optimal control of internal state The Time Optimal Controller: Given a desired value and any initial internal state determine the control inputs u1 and u2 such that the desired internal state magnitude according to is reached in minimum time.
  • 14. 15/19 4. Singularity & time-optimal control of internal state
  • 15. 16/19 5. Experimental results Implementation example : Induction machine torque control A Squirrel Cage Induction Motor System: and estimator where
  • 16. 17/19 5. Experimental results (cont) Time optimal control from the singular point
  • 17. 19/19 6. Conclusion A globally stabilizing nonlinear controller is proposed for a three-dimensional nonholonomic integrator with drift terms The optimal steering with sinusoids enabling steady state analysis, system inversion and calculation of the minimal input norm is introduced. The structure of the proposed feedback control provides amplitude and frequency modulation of the input vector that implicitly imposes periodic orbits in the internal state vector. The problem of singularity at zero initial states was solved by a time-optimal control scheme for the internal states The control proposition, successfully implemented for an induction machine torque control offers new possibilities and is conceptually different from existing IM control solutions