Abstract
In this paper, the Proportional Integral Derivative (PID) controller is tuned using genetic algorithm. The optimally tuned controller is implemented in order to increase the stability and the performance of aircraft. The safety feature of flight system could be enhanced with the tuning of PID parameters of the controller for roll axis of any flight. The design of a mathematical model is necessary for describing the latitudinal roll axis of an aviation aircraft. The PID controller can be employed based on the dynamic as well as mathematical modelling of the aircraft system. The Zeigler Nichols (ZN) Method and Genetic Algorithm (GA) optimization technique are considered to tune the PID controller parameters. The fitness function considered for the optimization algorithm is an Integral Absolute Error (IAE) criterion. The MATLAB simulation result shows that the PID controller tuned by the GA method for aviation aircraft dynamics gives better results.
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References
Nair, V., Dileep, M.V., George, V.I.: Aircraft yaw control system using LQR and fuzzy logic controller. Int. J. Comput. Appl. 45(9), 25–30 (2012)
Usta, M., Akyazl, O, Akpmar, A.S.: Aircraft roll control system using LQR and fuzzy logic controller. In: International Symposium on Innovations in Intelligent Systems and Applications (2011)
Gouthami, E., Asha Rani, M.: Modelling of an adaptive controller for an aircraft roll control system using PID, fuzzy-PID and genetic algorithm. IOSR J. Electron. Commun. Eng. 11(1), 15–24 (2016)
Akyazi1, O., Usta, M.A., Akpinar, A.S.: A self-tuning fuzzy logic controller for aircraft roll control system. Int. J. Control. Sci. Eng. 2(6), 181–188 (2012)
Fossen, T.I.: Mathematical Models for Control of Aircrafts & Satellites, 2nd edn. (Department of Engineering Cybernetics, NTNU 2011)
Murali, S.: Autopilot design for Navion aircraft using intelligent controllers. Int. J. Sci. Eng. Res. 4(5), 107–110 (2013)
Riberio, L.R., Oliveira, N.M.F.: UAV autopilot controllers test platform using matlab/simulink and X-plane. In: 40th ASEE/IEEE Frontiers in Education Conference, Washington, DC (2010)
Skarpetis, M., Koumboulis, F.N., Ntellis, A.S.: Longitudinal Flight Multi-Condition Control using Robust PID Controllers. In: IEEE Conference on Emerging Technologies and Factory Automation, Toulouse, France (2011)
Jayachitra, A., Vinodha, R.: Genetic algorithm based PID controller tuning approach for continuous stirred tank reactor. Adv. Artif. Intell. (2014). https://doi.org/10.1155/2014/791230
Åström, K., Hagglund, T.: PID Controllers: Theory, Design, and Tuning, p. 1994. Instrument Society of America, Research Triangle Park, NC, USA (1994)
Dwyer, A.O.: Handbook of PI and PID Controller Tuning Rules, 3rd edn. Imperial College Press (2009)
Perrusquía, A., Tovar, C., Soria, A., Martínez, J.C.: Robust controller for aircraft roll control system using data flight parameters. In: 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) (2016)
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Bagyaveereswaran, V., Subhashini, Sahu, A., Anitha, R. (2020). Optimal Control of Roll Axis of Aircraft Using PID Controller. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_76
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DOI: https://doi.org/10.1007/978-981-15-0035-0_76
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