DocumentCode
154447
Title
Cascaded flatness-based control of a Duocopter subject to unknown disturbances
Author
Meinlschmidt, Thomas ; Aschemann, Harald
Author_Institution
Dept. of Mechatron., Univ. of Rostock, Rostock, Germany
fYear
2014
fDate
2-5 Sept. 2014
Firstpage
845
Lastpage
850
Abstract
A cascaded control strategy for an innovative Duocopter test stand - a helicopter with two rotors combined with a guiding mechanism - is presented in this paper. The guiding mechanism consists of a rocker arm with a sliding carriage that enforces a planar workspace of the Duocopter. The Duocopter is connected to the carriage by a rotary joint and offers 3 degrees of freedom. The derived system model has similarities with a PVTOL and a planar model of a quadrocopter but involves additional terms due to the guiding mechanism. In the paper, a model-based cascaded control strategy is proposed: the outer MIMO control loop is given by a nonlinear flatness-based tracking control of the horizontal and the vertical Duocopter position, whereas the rotation angle of the Duocopter is controlled in a linear inner control loop of high bandwidth. Due to uncertain system parameters and reasonable simplifications at the modelling of the test stand, the control structure is extended by a reduced-order nonlinear state and disturbance observer. Thereby, an excellent tracking performance in vertical and horizontal direction can be achieved. The efficiency of the proposed control strategy is demonstrated by both simulations and experiments.
Keywords
MIMO systems; aircraft control; cascade control; helicopters; nonlinear control systems; position control; reduced order systems; rotors; uncertain systems; MIMO control loop; PVTOL; cascaded flatness-based control; disturbance observer; guiding mechanism; helicopter; innovative duocopter test stand; linear inner control loop; nonlinear flatness-based tracking control; planar workspace; quadrocopter; reduced-order nonlinear state; rocker arm; rotary joint; rotation angle; rotors; sliding carriage; uncertain system parameter; Feedforward neural networks; Joints; Mathematical model; Observers; Rotors; Torque; Tracking loops;
fLanguage
English
Publisher
ieee
Conference_Titel
Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
Conference_Location
Miedzyzdroje
Print_ISBN
978-1-4799-5082-9
Type
conf
DOI
10.1109/MMAR.2014.6957467
Filename
6957467
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