• Aucun résultat trouvé

Flatness-Based Control of Electrostatically Actuated MEMS With Application to Adaptive Optics: A Simulation Study

N/A
N/A
Protected

Academic year: 2021

Partager "Flatness-Based Control of Electrostatically Actuated MEMS With Application to Adaptive Optics: A Simulation Study"

Copied!
11
0
0

Texte intégral

Loading

Figure

Fig. 1. Basic principle of adaptive optics for astronomical application with closed-loop actuation control (adapted from Fig
Fig. 3. Invariant manifold and its distance to out-of-the-manifold points.
Fig. 4. Schematic top and cross-section view of 2 pixels showing the layer stack. The vertical scale is exaggerated.
Fig. 6.  (x)=(x) for different trajectories.
+2

Références

Documents relatifs

To this end, we com- bine a new fault estimation method, which is based on derivative estimations of measured time signals, with the notion of flatness-based control so as to

The question of the existence and computation of parameter functions is then equivalent to the question of existence and computation of solutions to this implicit first order

This work is based on the concept of differen- tial flatness for finite dimensional systems intro- duced in (Fliess et al., 1995), which has already been extended to

(Morari and Lee, 1999; Qin and Badwell, 2000)): in addition to a first PD output feedback loop for reference trajectory tracking, each time the pursuit error exceeds a given

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Two nonlinear vehicle models are used: the first one is a 3DoF NonLinear Two Wheels Model (3DoF-NLTWVM) which will be used to design a combined nonlinear control law.. The second one

This paper aims at establishing a simple yet efficient solution to the problem of trajectory tracking with input constraint of a nonlinear longitudinal vehicle model.. We make use

“Hybrid control of a parallel platform based on pneumatic artificial muscles combining sliding mode controller and adaptive