Fractal and Fractional (Nov 2023)

Uncertainty Observer-Based Control for a Class of Fractional- Order Non-Linear Systems with Non-Linear Control Inputs

  • Juan Javier Montesinos-García,
  • Jorge Luis Barahona-Avalos,
  • Jesús Linares-Flores,
  • José Antonio Juárez-Abad

DOI
https://doi.org/10.3390/fractalfract7120836
Journal volume & issue
Vol. 7, no. 12
p. 836

Abstract

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This paper presents a novel control strategy based on an uncertainty estimator for a class of fractional-order nonlinear systems characterized by a polynomial input. The proposed strategy allows the system to be controlled without resorting to transformations or approximate linearization. This is accomplished by using a fractional-order sliding-mode observer, whose task is to estimate certain portions of the state of the nonlinear system of a non-integer order, thus allowing the control law to counteract these elements to steer the system towards a desired behavior. To validate the performance of the proposed strategy, it was implemented, both in simulation and experimentally, to regulate the temperature of the cold side of a thermoelectric module fed by a DC/DC electronic power converter of the step-down type, a system that is known to have a nonlinear polynomial-type control input.

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