Abstract
This research was carried out with the purpose of designing and simulating a control system for the longitudinal dynamics of an autopilot of a general aviation aircraft, which allows the execution of an approach and landing circuit automatically and correctly, based on the requirements given by the maximum category of the Instrument Landing System (CAT III C) that allows fully automatic landing. In the design of the control loops to perform the coupling to the glide slope, the Linear Quadratic Regulator (LQR) Methodology and the Affine Parameterization Methodology were used. The controllers were then tested through a dynamic autopilot simulation model for the aircraft under study, where a gap was found between the pitch angle reference and the measured pitch angle of the aircraft, so it would be necessary in the future to implement a state observer for the design of the vertical attitude controller, so that the developed control system complies with the general requirements and the proposed pre-design specifications. The methodology used could serve as a basis for the compilation of new results and possible comparisons.
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Notes
- 1.
ILS: Instrument Landing System.
- 2.
ICAO: International Civil Aviation Organization.
- 3.
IFR: Instrument Flight Rules.
- 4.
NEM: Nonlinear Energy Method.
- 5.
NNs: Neural Networks.
- 6.
A/P: Auto Pilot.
- 7.
MIMO: Multiple-Input, Multiple-Output.
- 8.
SISO: Single-Input, Single-Output.
- 9.
FCC: Flight Control Computer.
References
Petrescu, R.V., Aversa, R., Akash, B.: History of aviation-a short review. J. Aircr. Spacecraft Technol. 1(1), 43–46 (2017)
Nelson, R.: Flight Stability and Automatic Control, 2nd edn. McGraw Hill, United States (1998)
Kügler, M.E., Heller, M., Holzapfel, F.: Automatic take-off and landing on the maiden flight of a novel fixed-wing UAV. In: 2018 Flight Testing Conference, p. 4275 (2018)
Ifqir, S., Combastel, C.: Multi-sensor data fusion for civil aircraft IRS/GPS/ILS integrated navigation system. In: 2021 European Control Conference (ECC), pp. 10–16 (2021)
Gonzalez, P., Boschetti, P., Cárdenas, E.: Design of a landing control system which considers dynamic ground effect for an unmanned airplane. In: 1st WSEAS International Conference on Aeronautical and Mechanical Engineering, pp. 143–148 (2013)
Akmeliawati, R., Mareels, I.: Nonlinear energy-based control method for aircraft automatic landing systems. IEEE Trans. Control Syst. Technol. 18(4), 871–884 (2009)
Lungu, R., Lungu, M.: Automatic landing system using neural networks and radio-technical subsystems. Chin. J. Aeronaut. 30(1), 399–411 (2017)
Rao, D., Go, T.: Automatic landing system design using sliding mode control. Aerosp. Sci. Technol. 32(1), 180–187 (2014)
Wahid, N., Rahmat, M.: Pitch control system using LQR and Fuzzy Logic Controller. In: 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA), pp. 389–394 (2010)
Vlk, J., Chudy, P., Prustomersky, M.: Light sport aircraft auto-land system. In: 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), pp. 1–10 (2019)
Aishwarya, C.: The instrument landing system (ILS)-a review. Int. J. Progressive Res. Sci. Eng. 3(03), 1–6 (2022)
Dudek, E., Kozłowski, M.: The concept of the instrument landing system – ILS continuity risk analysis method. In: Mikulski, J. (ed.) TST 2018. CCIS, vol. 897, pp. 305–319. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-97955-7_21
McLean, D.: Automatic Flight Control Systems. Prentice Hall International, UK (1990)
Nair, M.P., Harikumar, R.: Longitudinal dynamics control of UAV. In: 2015 International Conference on Control Communication & Computing India (ICCC), pp. 30–35 (2015)
Cook, M.: Flight Dynamics Principles, 2nd edn. Elsevier Ltd., UK (2007)
Blakelock, J.: Automatic Control of Aircraft and Missiles, 2nd edn. John Wiley & Sons Inc., Canada (1991)
Guardeño, R., López, M., Sánchez, V.: MIMO PID controller tuning method for quadrotor based on LQR/LQG theory. Robotics 8(2), 36 (2019)
Department of the Air Force: MIL-8785C. Air Force, United States (1980)
Bakolas, E.: Dynamic output feedback control of the Liouville equation for discrete-time SISO linear systems. IEEE Trans. Autom. Control 64(10), 4268–4275 (2019)
Ashish, T.: Modern Control Design with MATLAB and SIMULINK. John Wiley & Sons Ltd., India (2002)
Petkov, P., Slavov, T., Kralev, J.: Design of Embedded Robust Control Systems Using MATLAB®/Simulink®. Institution of Engineering and Technology, United Kingdom (2018)
SKYbrary (2021). https://skybrary.aero. Last accessed 26 May 2022
IVAO (2022). https://mediawiki.ivao.aero, Last accessed 30 May 2022
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Coello, L.A., Jácome, F.A., Zurita, J.R., Casa, C.W., Vélez, J.S. (2023). Design and Simulation of an Aircraft Autopilot Control System: Longitudinal Dynamics. In: Botto-Tobar, M., Gómez, O.S., Rosero Miranda, R., Díaz Cadena, A., Luna-Encalada, W. (eds) Trends in Artificial Intelligence and Computer Engineering. ICAETT 2022. Lecture Notes in Networks and Systems, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-031-25942-5_31
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