Self-Tuning Shape Control of Massively Actuated Adaptive Mirrors

Manetti, Mauro; Morandini, Marco; Mantegazza, Paolo

doi:10.1109/tcst.2013.2267814

Cited by 11 publications

(8 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The diagram of adaptive optics system from control perspective is depicted as Figure. Figure. VI and Equation (12), it is easy to educe the generalized plant…”

Section:  mentioning

confidence: 99%

See 1 more Smart Citation

Robust Control of a Deformable Mirror for Adaptive Optics Systems

Song¹,

Peng

2017

Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

View full text Add to dashboard Cite

Abstract-To improve the robust stability of adaptive optics system, H  synthesis has been introduced to design the controller. H  synthesis has advantages to deal with unmodelled dynamic of plant and to ensure the optimal performance in tracking the desired input. To simplify the design of controller, Singular Value Decomposition is adopted to uncouple the channels. This paper first analyzes the frequency responses of the H  synthesis and integrator in uncoupled channels. The results indicate that H  synthesis can increase the phase margin, which explain that the stability of adaptive optics is improved. Then the simulation of atmospheric turbulence correction is analyzed to testify the performance of adaptive optics. The results show that both integrator and H  synthesis can obtain a nearly same satisfying performance, but the former achieves a lower control voltage to correct wavefront than the latter. It validates that H  synthesis has a better robustness to deal with the disturbance than integrator. That is to say, H  synthesis is able to improve the stability of adaptive optics system.

show abstract

“…The diagram of adaptive optics system from control perspective is depicted as Figure. Figure. VI and Equation (12), it is easy to educe the generalized plant…”

Section:  mentioning

confidence: 99%

“…References [5][6][7][8] use LQG strategy to minimize the variance of the residuals and improve AO system performance under several conditions. References [9][10][11][12] use adaptive control strategy to deal with the change of the turbulence. And references [13][14][15][16] apply the predicting control to deal with the time delay of the AO system.…”

mentioning

confidence: 99%

Robust Control of a Deformable Mirror for Adaptive Optics Systems

Song¹,

Peng

2017

Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

View full text Add to dashboard Cite

show abstract

“…This is because the use of an integral action in the feedback path typically introduce unacceptable overshoots in the closed-loop response [20]. An alternative approach that considers the use of a feedforward contribution plus a centralized integral feedback action has been recently proposed in [21] and [22].…”

Section: A Asm Control Designmentioning

confidence: 99%

“…It is worth noting that an alternative control architecture that considers the use of a (centralized) integral feedback in place of a pure feedforward term has been recently considered in [21] and [22]. …”

Section: A Control Architecturementioning

confidence: 99%

Self-Tuning Mechanism for the Design of Adaptive Secondary Mirror Position Control

Battistelli

Mari²,

Riccardi

et al. 2015

IEEE Trans. Contr. Syst. Technol.

View full text Add to dashboard Cite

Deformable mirrors (DMs) are electromechanical devices used in ground-based telescopes to compensate for the distortions caused by the atmospheric turbulence, the main factor limiting the resolution of astronomical imaging. Adaptive secondary mirrors (ASMs) represent a new type of DMs; two of them have been recently installed on the 8-m-class large binocular telescope (LBT). ASMs are able to jointly correct rigid and nonrigid wave-front distortions thanks to the use of force actuators distributed on the overall mirror surface. As an offset, each actuator needs to be piloted by a dedicated controller, whose parameters must be accurately tuned to obtain the desired mirror shape. At the present time, the calibration of the controller parameters is executed manually. This paper presents a novel automatic controller tuning procedure that does not rely on the modeling of the mirror dynamics. The experimental validation on a prototype reproducing the three innermost rings of the LBT ASM is reported.Index Terms-Adaptive optics (AO), adaptive secondary mirrors (ASMs), decentralized feedback control, reference model design, self-tuning control, unfalsified control, virtual experiment.

show abstract

“…The results can easily be extended to other mirror concepts. A typical continuous faceplate DMs is composed of a thin faceplate that is deformed by spatially distributed actuators placed on its backside.Modeling and control problems for large-scale DMs have been considered in [5,[9][10][11][12][13][14][15][16][17][18]. Distributed control and estimation problems or problems of efficient implementation of control and estimation algorithms for large-scale DMs and AO systems have been considered in [4,[18][19][20][21][22][23].…”

mentioning

confidence: 99%

Modeling and state-space identification of deformable mirrors

Haber

Verhaegen

2020

Opt. Express

View full text Add to dashboard Cite

To develop high-performance controllers for adaptive optics (AO) systems, it is essential to first derive sufficiently accurate state-space models of deformable mirrors (DMs). However, it is often challenging to develop realistic large-scale finite element (FE) state-space models that take into account the system damping, actuator dynamics, boundary conditions, and multi-physics phenomena affecting the system dynamics. Furthermore, it is challenging to establish a modeling framework capable of the automated and quick derivation of state-space models for different actuator configurations and system geometries. On the other hand, for accurate model-based control and system monitoring, it is often necessary to estimate state-space models from the experimental data. However, this is a challenging problem since the DM dynamics is inherently infinite-dimensional and it is characterized by a large number of eigenmodes and eigenfrequencies. In this paper, we provide modeling and estimation frameworks that address these challenges. We develop an FE state-space model of a faceplate DM that incorporates damping and actuator dynamics. We investigate the frequency and time domain responses for different model parameters. The state-space modeling process is completely automated using the LiveLink for MATLAB toolbox that is incorporated into the COMSOL Multiphysics software package. The developed state-space model is used to generate the estimation data. This data, together with a subspace identification algorithm, is used to estimate reduced-order DM models. We address the model-order selection and model validation problems. The results of this paper provide essential modeling and estimation tools to broad AO and mechatronics scientific communities. The developed Python, MATLAB, and COMSOL Multiphysics codes are available online.There are various types of DM architectures and design concepts used in AO systems. Depending on how the reflective surface is designed, we can distinguish between segmented, faceplate, and membrane DMs [1,7,8]. Due to their widespread usage, in this manuscript, we consider DMs with continuous faceplates. The results can easily be extended to other mirror concepts. A typical continuous faceplate DMs is composed of a thin faceplate that is deformed by spatially distributed actuators placed on its backside.Modeling and control problems for large-scale DMs have been considered in [5,[9][10][11][12][13][14][15][16][17][18]. Distributed control and estimation problems or problems of efficient implementation of control and estimation algorithms for large-scale DMs and AO systems have been considered in [4,[18][19][20][21][22][23]. Before these methods can be used, it is necessary to develop sufficiently accurate DM models. Furthermore, it is preferable that these models are in a state-space form that can be used for the design of advanced model-based control algorithms. Analytical mirror models that are based on the biharmonic plate equation and its modifications have been developed in [7,10,11,24,25]. Howev...

show abstract

Self-Tuning Shape Control of Massively Actuated Adaptive Mirrors

Cited by 11 publications

References 31 publications

Robust Control of a Deformable Mirror for Adaptive Optics Systems

Robust Control of a Deformable Mirror for Adaptive Optics Systems

Self-Tuning Mechanism for the Design of Adaptive Secondary Mirror Position Control

Modeling and state-space identification of deformable mirrors

Contact Info

Product

Resources

About