State Space Model Reference Adaptive Control for a Class of Second-Degree Fractional Order Systems with Different Eigenvalues

Author:

Khelas Seif Eddine1ORCID,Ladaci Samir2ORCID,Bensafia Yassine3ORCID

Affiliation:

1. National Polytechnic School of Constantine

2. Ecole Nationale Polytechnique

3. University of Bouira

Abstract

This study proposes an adaptive control synthesis for a class of second-degree fractional order systems with different eigenvalues in the state-space domain. The proposed fractional order adaptive controller is a generalization of the MRAC controller for the class of scalar fractional order systems. In order to control the fractional order plant, an adaptive state space feedback controller is applied based on the error between the system output and a chosen reference model using a fractional adaptation law to make the fractional order plant track the fractional order reference model. We show that the resulting adaptive regulator is able to stabilize the fractional order second degree system with a satisfying performance. A simulation example illustrating these performance properties is provided along with a comparison with a fractional order sliding mode control (FOSMC) to demonstrate the superiority of the proposed control scheme.

Funder

Ministry of higher education and scientific research, Algeria

Publisher

Gazi University Journal of Science

Reference46 articles.

1. [1] Vinagre, B. M., Petras, I., Podlubny, I., Chen, Y.-Q., “Using fractional order adjustment rules and fractional order referencemodels inmodel-reference adaptive control”, Nonlinear Dynamics, 29(1-4):269–279, (2002).

2. [2] Ladaci, S., Charef, A., “Commande adaptative à modèle de référence d’ordre fractionnaire d’un bras de robot”, Communication Sciences & Technologie, 1 : 50-52, (2002).

3. [3] Ladaci, S., Charef, A., “On fractional adaptive control”, Nonlinear Dynamics, 43(4):365–378, (2006).

4. [4] Ladaci, S., Charef, A., “Fractional order adaptive control systems: A survey”, In Mitchell, E.W.,& Murray, S.R. (Eds.), Classification and application of fractals, Nova Science, 261–275,(2012).

5. [5] Narendra, K.S., Annaswamy, A.M., “Stable Adaptive Systems”, Prentice Hall, Englewood Cliffs, (1989).

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