6533b7d7fe1ef96bd1267b96

RESEARCH PRODUCT

Adaptive Backstepping Control of a 2-DOF Helicopter

Siri Marte SchlanbuschJing Zhou

subject

0209 industrial biotechnologyAdaptive controlComputer science020208 electrical & electronic engineeringMIMO02 engineering and technologyComputer Science::RoboticsNonlinear system020901 industrial engineering & automationComputer Science::Systems and ControlControl theoryRobustness (computer science)BacksteppingSystem parametersVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringPosition control

description

This paper proposes an adaptive nonlinear controller for a 2-Degree of Freedom (DOF) helicopter. The proposed controller is designed using backstepping control technique and is used to track the pitch and yaw position references independently. A MIMO nonlinear mathematical model is derived for the 2DOF helicopter based on Euler-Lagrange equations, where the system parameters and the control coefficients are uncertain. Unlike some existing control schemes for the helicopter control, the developed controller does not require the knowledge on the system uncertain parameters. Updating laws are used to estimate the unknown parameters. It is shown that not only the global stability is guaranteed by the proposed controller, but also asymptotic tracking and transient performances are quantified as explicit functions of the design parameters. Simulations and experiments are carried out on the Quanser helicopter to validate the effectiveness, robustness and control capability of the proposed scheme.

10.1109/iccma46720.2019.8988761https://hdl.handle.net/11250/2647955