Development of an Intelligent Least Squares Based Linear Controller for Autonomous Helicopters

Date

2016-06-10

Author

Kubali, Eser
Yavrucuk, İlkay

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In this paper, a novel PID gain update law using linear least squares regression is introduced as an adaptive control method for autonomous helicopters. In addition, prediction analysis is conducted for error dynamics of the closed loop system using recursive linear least squares regression. Combining these two concepts with classical PID controller, an intelligent PID controller is obtained. A flight controller with three control loops is developed to demonstrate the capabilities of the controller. Finally, several maneuvers are carried out to investigate the new intelligent controller.

URI

https://hdl.handle.net/11511/52629

Conference Name

International Conference on Unmanned Aircraft Systems (ICUAS)

Collections

Department of Aerospace Engineering, Conference / Seminar

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Citation Formats

E. Kubali and İ. Yavrucuk, “Development of an Intelligent Least Squares Based Linear Controller for Autonomous Helicopters,” presented at the International Conference on Unmanned Aircraft Systems (ICUAS), Arlington, VA, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52629.