On Fractional Adaptive Control

Introducing fractional operators in the adaptive control loop, and especially in Model Reference Adaptive Control (MRAC), has proven to be a good mean for improving the plant dynamics with respect to response time and disturbance rejection. The idea of introducing fractional operators in adaptation algorithms is very recent and needs to be more established, that is why many research teams are working on the subject. Previously, some authors have introduced a fractional model reference in the adaptation scheme, and then fractional integration has been used to deal directly with the control rule. Our original contribution in this paper is the use of a fractional derivative feedback of the plant output, showing that this scheme is equivalent to the fractional integration, one with a certain benefit action on the system dynamical behaviour and a good robustness effect. Numerical simulations are presented to show the effectiveness of the proposed fractional adaptive schemes.

[1]  Hugues Mounier,et al.  Stabilisation de l'quation de la chaleur commande en flux , 1998 .

[2]  B. Onaral,et al.  Fractal system as represented by singularity function , 1992 .

[3]  P. M. Horn,et al.  Low-frequency fluctuations in solids: 1/f noise , 1981 .

[4]  Hari M. Srivastava,et al.  Operators of fractional integration and their applications , 2001, Appl. Math. Comput..

[5]  Ahmed M. A. El-Sayed,et al.  Fractional calculus and some intermediate physical processes , 2003, Appl. Math. Comput..

[6]  I. Podlubny,et al.  Analogue Realizations of Fractional-Order Controllers , 2002 .

[7]  I. Podlubny Fractional-order systems and PIλDμ-controllers , 1999, IEEE Trans. Autom. Control..

[8]  K. Diethelm AN ALGORITHM FOR THE NUMERICAL SOLUTION OF DIFFERENTIAL EQUATIONS OF FRACTIONAL ORDER , 1997 .

[9]  Karl Johan Åström,et al.  Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.

[10]  Banu Onaral,et al.  A Unified Approach to Represent Metal Electrode Polarization , 1983, IEEE Transactions on Biomedical Engineering.

[11]  Carl F. Lorenzo,et al.  Variable Order and Distributed Order Fractional Operators , 2002 .

[12]  T. Hartley,et al.  Dynamics and Control of Initialized Fractional-Order Systems , 2002 .

[13]  Igor Podlubny,et al.  Fractional-order systems and PI/sup /spl lambda//D/sup /spl mu//-controllers , 1999 .

[14]  Jerzy T. Sawicki,et al.  Frequency driven phasic shifting and elastic-hysteretic partitioning properties of fractional mechanical system representation schemes , 1999 .

[15]  Alain Oustaloup,et al.  Fractional differentiation for edge detection , 2003, Signal Process..

[16]  N. Ford,et al.  The numerical solution of linear multi-term fractional differential equations: systems of equations , 2002 .

[17]  A. van der Ziel,et al.  On the noise spectra of semi-conductor noise and of flicker effect , 1950 .

[18]  Yangquan Chen,et al.  Two direct Tustin discretization methods for fractional-order differentiator/integrator , 2003, J. Frankl. Inst..

[19]  Y. Q. Chen,et al.  Using Fractional Order Adjustment Rules and Fractional Order Reference Models in Model-Reference Adaptive Control , 2002 .

[20]  I. Podlubny Fractional differential equations , 1998 .

[21]  Yangquan Chen,et al.  A new IIR-type digital fractional order differentiator , 2003, Signal Process..

[22]  N. Ford,et al.  A Predictor-Corrector Approach for the Numerical Solution of Fractional Differential Equations , 2013 .

[23]  Y. D. Landau,et al.  Adaptive control: The model reference approach , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[24]  A. Charef,et al.  Fractal system — A time domain approach , 2006, Annals of Biomedical Engineering.

[25]  Jerzy T. Sawicki,et al.  Nonlinear Vibrations of Fractionally Damped Systems , 1998 .

[26]  Piotr Ostalczyk Fundamental properties of the fractional-order discrete-time integrator , 2003, Signal Process..