Robust control of robot manipulators under time-varying parametric uncertainty and disturbance with adaptive gravitational compensation

Author(s):  
Yingjie Yin ◽  
K. Ogata ◽  
Y. Hayakawa ◽  
S. Hosoe
1990 ◽  
Author(s):  
Walter Grossman ◽  
Farshad Khorrami ◽  
Bernard Friedland

1997 ◽  
Vol 21 ◽  
pp. S125-S130 ◽  
Author(s):  
Jeremy G. VanAntwerp ◽  
Richard D. Braatz ◽  
Nikolaos V. Sahinidis

1991 ◽  
Vol 27 (6) ◽  
pp. 693-699
Author(s):  
Junichi IMURA ◽  
Toshiharu SUGIE ◽  
Yasuyoshi YOKOKOHJI ◽  
Tsuneo YOSHIKAWA

2017 ◽  
Vol 14 (5) ◽  
pp. 433-442
Author(s):  
Aalya Banu ◽  
Asan G.A. Muthalif

Purpose This paper aims to develop a robust controller to control vibration of a thin plate attached with two piezoelectric patches in the presence of uncertainties in the mass of the plate. The main goal of this study is to tackle dynamic perturbation that could lead to modelling error in flexible structures. The controller is designed to suppress first and second modal vibrations. Design/methodology/approach Out of various robust control strategies, μ-synthesis controller design algorithm has been used for active vibration control of a simply supported thin place excited and actuated using two piezoelectric patches. Parametric uncertainty in the system is taken into account so that the robust system will be achieved by maximizing the complex stability radius of the closed-loop system. Effectiveness of the designed controller is validated through robust stability and performance analysis. Findings Results obtained from numerical simulation indicate that implementation of the designed controller can effectively suppress the vibration of the system at the first and second modal frequencies by 98.5 and 88.4 per cent, respectively, despite the presence of structural uncertainties. The designed controller has also shown satisfactory results in terms of robustness and performance. Originality/value Although vibration control in designing any structural system has been an active topic for decades, Ordinary fixed controllers designed based on nominal parameters do not take into account the uncertainties present in and around the system and hence lose their effectiveness when subjected to uncertainties. This paper fulfills an identified need to design a robust control system that accommodates uncertainties.


Author(s):  
S. Kalender ◽  
H. Flashner

An approach for robust control of periodically time-varying systems is proposed. The approach combines the point-mapping formulation and a parameterization of the control vector to formulate an equivalent time-invariant discrete-time representation of the system. The discrete-time representation of the dynamic system allows for the application of known sampled-data control design methodologies. A perturbed, discrete-time dynamic model is formulated and plant parametric uncertainty are obtained using a truncated point-mapping algorithm. The error bounds due to point-mapping approximation are computed and a robustness analysis problem of the system due to parametric uncertainties is formulated using structured singular value theory. The proposed approach is illustrated by two design examples. Simulation studies show good performance robustness of the control system to parameter perturbations and system nonlinearities.


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