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To this purpose we design a nonlinear controller, obtained by suitably combining feedforward control actions and high-gain and nested saturation feedback laws, which succeeds in enforcing the desired trajectories robustly with respect to uncertainties characterizing the physical and aerodynamical parameters of the helicopter.
An example is also presented to show the performance of the stable H∞ flow controller obtained by the proposed approach.
Moreover, the controller obtained by this algorithm can assign the resultant closed-loop poles in a prescribed region.
In particular, fundamental limitations on the closed-loop performance using a controller obtained by Virtual Reference Feedback Tuning (VRFT) are studied.
The results show that the performances of our design results are better compared to an emulation controller obtained by sample and hold or Tustin transformation of the continuous-time controller.
Some simulations are performed, comparing the performance of the discrete-time redesigned controller with a discrete-time emulation controller obtained by sampling and zero order hold of the continuous-time controller.
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The controllers obtained by the various design methods are tested by a series of setpoint change experiments on the pilot-scale distillation column.
Design of nonlinear H∞ controllers obtained by Taylor approximation and by the proposed Galerkin approximation method applied to a magnetic levitation system are presented.
In this paper, we propose an optimal servo design method of decentralized control systems from the inverse linear quadratic problem viewpoint by using the structure of controllers obtained by the ILQ(Inverse Linear Quadratic) design method.
The controller obtained is validated by simulating the landing maneuver using a nonlinear aircraft model with a large offset in initial position from the nominal landing trajectory.
The H∞ controller is a modified version of a normalized coprime controller and obtained by solving control and filter algrebraic Riccati equations (CARE and FARE) approximately.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com