Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Improving Pitch Rate Control Performance of an F-16 Aircraft Using Fractional Order Direct-MRAC Adaptive Control Instead of Using the Classic Direct-MRAC Adaptive Control

Version 1 : Received: 6 April 2024 / Approved: 8 April 2024 / Online: 9 April 2024 (10:58:07 CEST)

How to cite: Ceballos Benavides, G.E.; Duarte-Mermoud, M.A.; Orchard, M.E.; Ehijo, A. Improving Pitch Rate Control Performance of an F-16 Aircraft Using Fractional Order Direct-MRAC Adaptive Control Instead of Using the Classic Direct-MRAC Adaptive Control. Preprints 2024, 2024040595. https://doi.org/10.20944/preprints202404.0595.v1 Ceballos Benavides, G.E.; Duarte-Mermoud, M.A.; Orchard, M.E.; Ehijo, A. Improving Pitch Rate Control Performance of an F-16 Aircraft Using Fractional Order Direct-MRAC Adaptive Control Instead of Using the Classic Direct-MRAC Adaptive Control. Preprints 2024, 2024040595. https://doi.org/10.20944/preprints202404.0595.v1

Abstract

: This paper presents a comparison between direct integer orders or classical model reference adaptive control (IO-DMRAC) versus its fractional orders counterpart (FO-DMRAC) applied to the F-16 aircraft longitudinal model pitch rate control. A substantial improvement is achieved when using fractional order adaptive control, since, in addition to performance indices, such as Integral Square-Error criterion (ISE) and Integral Square-Input criterion (ISU) being lower, the oscillations of the system output (pitch rate) in the transient period, are eliminated. Moreover, it is the first attempt in literature of adaptive control that a FO-DMRAC is applied to the pitch rate control of an aircraft. A F-16 short-period model, whose relative degree is equal to 1 (n^*=1) is analyzed by mean of simulations with good results. A FO-DMRAC is designed, for a specific operating flight conditions and compared with its IO-DMRAC counterpart. Furthermore, the boundedness of all signals, including the internal ones ω(t) are assured.

Keywords

Fractional order adaptive control; smoother output signal; Particle Swarm Optimization (PSO) algorithm.

Subject

Engineering, Control and Systems Engineering

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