Fuzzy Pi Adaptive Learning Controller for Controlling the Angle of Attack of an Aircraft

Abstract: In this paper, a Fuzzy PI Adaptive Learning controller is proposed for a flight control system to control the angle of attack of an aircraft. The proposed controller tracks the reference angle as desired by the pilot of the aircraft. The performance indices are evaluated and the corresponding value is compared with that for the conventional controllers obtained from Zigler Nichols (ZN), Tyreus Luyben (TL) and Extended Skogestad Internal Model Controller (ESIMC). The performance indices such as Mean Square Error (MSE), Integral Absolute Error (IAE) and Integral Absolute Time Error (IATE) are evaluated to verify superiority of one over another.

Srinibash Swain and Partha Sarathi Khuntia. “Fuzzy Pi Adaptive Learning Controller for Controlling the Angle of Attack of an Aircraft”. International Journal of Advanced Computer Science and Applications (IJACSA) 8.5 (2017). http://dx.doi.org/10.14569/IJACSA.2017.080518

@article{Swain2017,
title = {Fuzzy Pi Adaptive Learning Controller for Controlling the Angle of Attack of an Aircraft},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080518},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080518},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {5},
author = {Srinibash Swain and Partha Sarathi Khuntia}
}