Pitch Angle Control of an Airplane Using Fractional Order Direct Model Reference Adaptive Controllers

Author:

Ceballos Benavides Gustavo E.123,Duarte-Mermoud Manuel A.34ORCID,Orchard Marcos E.1ORCID,Travieso-Torres Juan Carlos5

Affiliation:

1. Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av. Tupper 2007, Santiago 8370451, Chile

2. Escuela de Negocios y Tecnología, Universidad Gabriela Mistral, Av. Andrés Bello 1337, Santiago 7500533, Chile

3. Advanced Mining Technology Center, University of Chile, Av. Tupper 2007, Casilla 412-3, Santiago 8370451, Chile

4. Facultad de Ingeniería y Arquitectura, Universidad Central de Chile, Av. Santa Isabel 1186, Santiago 8370292, Chile

5. Department of Industrial Technologies, Universidad de Santiago de Chile, El Belloto 3735, Santiago 9170022, Chile

Abstract

This paper deals with the longitudinal movement control of an airplane (pitch angle) using fractional order adaptive controllers (FOACs). It shows the improvements achieved in the plane’s behavior, in terms of the minimization of a given performance index. At the same time, less control effort is needed to accomplish the control objectives compared with the classic integer order adaptive controllers (IOACs). In this study, fractional order direct model reference adaptive control (FO-DMRAC) is implemented at the simulation level, and exhibits a better performance compared with the classic integer order (IO) version of the DMRAC (IO-DMRAC). It is also shown that the proposed control strategy for FO-DMRAC reduces the resultant system control structure down to a relative degree 2 system, for which the control implementation is simpler and avoids oscillations during the transient period. Moreover, it is interesting to note that this is the first time that an FOAC with fractional adaptive laws is applied to the longitudinal control of an airplane. A suitable model for the longitudinal movement of the airplane related to the pitch angle θ as the output variable with the lifter angle (δe) as the control variable, is first analyzed and discussed to obtain a reliable mathematical model of the plane. All of the other input variables acting on the plane are considered as perturbations. For certain operating conditions defined by the flight conditions, an FO-DMRAC is designed, simulated, and analyzed. Furthermore, a comparison with the implementation of the classical adaptive general direct control (relative degree ≥ 2) is presented. The boundedness and convergence of all of the signals are theoretically proven based on the new Lemma 3, assuring the boundedness of all internal signals ω(t).

Funder

CONICYT-Chile

Advanced Center for Electrical and Electronic Engineering

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

Reference37 articles.

1. Seckel, E. (1964). Stability and Control of Airplane and Helicopters, Department of Aeronautical Engineering, The James Forrestal Research Center School of Engineering and Applied Science, Princeton University.

2. Roskam, J. (1995). Airplane Flight Dynamics and Automatic Flight Controls. Part 2, Roskam Aviation and Engineering Corporation.

3. Analysis of autopilot system, integrated with modelling and comparison of different controllers with the system;Singh;J. Discret. Math. Sci. Cryptogr.,2020

4. Ponrani, M.A., and Godweena, A.K. (2021, January 30–31). Aircraft Pitch Control using PID Controller. Proceedings of the International Conference on System, Computation, Automation and Networking (ICSCAN), Puducherry, India.

5. Alves, L., Brito, V., Palma, L.B., and Gil, B. (2019, January 10). Position Control in Simulated Airplanes. Proceedings of the 2019 International Young Engineers Forum, Costa da Caparica, Portugal.

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