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   Articles with "flatness based" as a keyword



Discrete-Time Flatness-Based Feedforward Control for the 1D Shallow Water Equations

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recommendations! Published in 2019 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2019.11.753

Abstract: Abstract Flatness of given outputs for quasilinear 1D hyperbolic systems is conserved under an appropriate port-Hamiltonian spatial discretization. Combining the spatial with a structure-preserving temporal scheme leads to a fully discretized control model of the… read more here.

Keywords: flatness based; based feedforward; discrete time; water equations ... See more keywords

Flatness based ADRC Control of Lagrangian Systems: A moving crane.

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recommendations! Published in 2020 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2020.12.1870

Abstract: Abstract A procedure is described for direct tangent linearization, around a given equilibrium point, of non-linear multivariable Lagrangian systems, in terms of second order variational expansions of the Lagrangian function. When the linearized model is… read more here.

Keywords: control; lagrangian systems; flatness based; based adrc ... See more keywords

Frequency Regulation in Interconnected Power System Through Enhanced Beluga Whale Optimized Flatness-Based Active Disturbance Rejection Control

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3358425

Abstract: Ever-increasing dynamic surges in renewable-based electric power systems, notably wind and photovoltaic farms bring adverse impacts and challenges in terms of reliability and stability. The intermittency of renewable sources imposes significant deviations in frequency due… read more here.

Keywords: system; flatness based; control; based active ... See more keywords

Intuitive dynamic modeling and flatness-based nonlinear control of a mobile robot

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recommendations! Published in 2018 at "SIMULATION"

DOI: 10.1177/0037549717741192

Abstract: In this paper, a bond graph model of a mobile robot with four Mecanum wheels is developed to extract a dynamic model of the robot. This is achieved using the BG_V21 tool box of MATLAB.… read more here.

Keywords: flatness based; control; robot; model ... See more keywords