Closed loop adaptive system with Hartmann wavefront sensor for CO2 laser radiation correction

Author(s):  
Alexis Kudryashov ◽  
Alex Alexandrov ◽  
Vadim Samarkin ◽  
Alexey Rukosuev ◽  
Pierre Galarneau
2014 ◽  
Vol 11 (2) ◽  
pp. 14-21
Author(s):  
R. Mishkov ◽  
V. Petrov

Abstract The paper is dedicated to the derivation of a unified approach for nonlinear adaptive closed loop system design with nonlinear adaptive state and parameter observers combined with tuning functions-based nonlinear adaptive control for trajectory tracking. The proposed approach guarantees asymptotic stability of the closed loop nonlinear adaptive system with respect to the tracking and state estimation errors and Lyapunov stability of the parameter estimator. The advantages of the approach are the lack of over-parametrization, resulting in a minimal number of estimator equations and the preservation of the overdamped performance specifications of the closed loop nonlinear adaptive system in its whole range of operation. The application of the approach to a permanent magnet synchronous motor driven inverted pendulum concludes with simulation of the closed loop nonlinear adaptive system time responses.


2001 ◽  
Author(s):  
Alexis V. Kudryashov ◽  
Alexey L. Rukosuev ◽  
Alexander Alexandrov ◽  
Valentina Y. Zavalova ◽  
Vadim V. Samarkin

2012 ◽  
Author(s):  
Shengqian Wang ◽  
Changhui Rao ◽  
Ang Zhang ◽  
Xuejun Zhang ◽  
Kai Wei ◽  
...  

2004 ◽  
Author(s):  
Paul Harrison ◽  
Gavin R. G. Erry ◽  
Leonard J. Otten III ◽  
D. M. Cuevas ◽  
Lawrence D. Weaver

1980 ◽  
Author(s):  
L. E. Schmutz ◽  
J. K. Bowker ◽  
J. Feinleib ◽  
S. N. Landon ◽  
S. J. Tubbs

2020 ◽  
Vol 31 (1) ◽  
pp. 68-76

We constitute a control system for overhead crane with simultaneous motion of trolley and payload hoist to destinations and suppression of payload swing. Controller core made by sliding mode control (SMC) assures the robustness. This control structure is inflexible since using fixed gains. For overcoming this weakness, we integrate variable fractional-order derivative into SMC that leads to an adaptive system with adjustable parameters. We use Mittag–Leffler stability, an enhanced version of Lyapunov theory, to analyze the convergence of closed-loop system. Applying the controller to a practical crane shows the efficiency of proposed control approach. The controller works well and keeps the output responses consistent despite the large variation of crane parameters.


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