Title :
Self-tuning PID control design for quadrotor UAV based on adaptive pole placement control
Author :
Jinpeng Yang ; Zhihao Cai ; Qing Lin ; Yingxun Wang
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Aircraft Control, Beihang Univ. Beijing, Beijing, China
Abstract :
Quadrotor helicopters are an increasingly popular rotorcraft for unmanned aerial vehicle (UAV) platforms. Many groups have worked on quadrotors and realized various controllers and scenarios for it. And PID controller, because of simple structure, good stability and less dependence on the model, plays an important role in quadrotor control. This paper presents an application of Self-tuning PID controller based on adaptive pole placement to a quadrotor. This controller can tune the PID parameters online according to the system change. And the simulation results show that the designed flight controller can achieve accurate control for quadrotor with enough adaptability and robustness.
Keywords :
adaptive control; autonomous aerial vehicles; control system synthesis; helicopters; mobile robots; three-term control; UAV platforms; adaptive pole placement control; flight controller design; proportional-integral-derivative control; quadrotor UAV; quadrotor control; quadrotor helicopters; rotorcraft; self-tuning PID control design; Adaptation models; Aerospace control; Equations; Helicopters; Mathematical model; Robustness; Simulation; adaptive control; flight control; quadrotor helicopters; self-tuning PID; simulation verification;
Conference_Titel :
Chinese Automation Congress (CAC), 2013
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-0332-0
DOI :
10.1109/CAC.2013.6775734