Hovering control of a quadrotor system by a reduced-order observer-based output feedback controller

Author(s):  
Ji-Sun Park ◽  
Sang-Young Oh ◽  
Ho-Lim Choi
1996 ◽  
Vol 29 (1) ◽  
pp. 403-408 ◽  
Author(s):  
Michel Zasadzinski ◽  
M. Faycal Khelfi ◽  
Mohamed Darouach ◽  
Edouard Richard

2014 ◽  
Vol 19 (2) ◽  
pp. 286-299 ◽  
Author(s):  
Xin Yu ◽  
Guohai Liu

This paper considers the problem of global output feedback control for a class of nonlinear systems with inverse dynamics. The main contribution of paper is that: For the inverse dynamics with uncertain ISS/iISS supply rates, and the systems being disturbed by L2 noises, we construct a reduced-order observer-based output feedback controller, which drives the output of system to zero and maintain other closed-loop signals bounded. Finally, a simulation example shows the effectiveness of the control scheme.


1992 ◽  
Vol 114 (2) ◽  
pp. 244-252 ◽  
Author(s):  
Chong-Won Lee ◽  
Jong-Sun Kim

A suboptimal output feedback controller is designed based on a reduced order model and applied to a flexible rotor bearing system in order to control the unstable or lightly damped vibrations occurring during operation. The reduced order model is a truncated modal equation of the distributed parameter system obtained through the singular perturbation. The instability problem arising from the spillover effects caused by the uncontrolled high frequency modes is prevented through the constrained optimization by incorporating the spillover term into the performance index. The application of the matrix minimum principle yields a set of matrix equation similar to the unconstrained output feedback controller. The efficiency of the proposed method is demonstrated experimentally with a flexible rotor by using a magnetic bearing.


Author(s):  
Kho Hie Kwee ◽  
Hardiansyah .

This paper addresses the design problem of robust H2 output feedback controller design for damping power system oscillations. Sufficient conditions for the existence of output feedback controllers with norm-bounded parameter uncertainties are given in terms of linear matrix inequalities (LMIs). Furthermore, a convex optimization problem with LMI constraints is formulated to design the output feedback controller which minimizes an upper bound on the worst-case H2 norm for a range of admissible plant perturbations. The technique is illustrated with applications to the design of stabilizer for a single-machine infinite-bus (SMIB) power system. The LMI based control ensures adequate damping for widely varying system operating.


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