Robust estimation and control of robotic manipulators

Robotica ◽  
1995 ◽  
Vol 13 (3) ◽  
pp. 223-231 ◽  
Author(s):  
Zhihua Qu ◽  
Darren M. Dawson ◽  
John F. Dorsey ◽  
John D. Duffie

SummaryFor the trajectory following problem of a robot manipulator, a robust estimation and control scheme which requires only position measurements is proposed to guarantee uniform ultimate bounded stability under significant uncertainties and disturbances in the robot dynamics. The scheme combines a class of robust control laws with a robust estimator where the robust control law can be chosen to be either a modification of the standard computed torque control law or simply a linear and decentralized “PD” control law. The proposed robust estimator is also linear and decentralized for easy implementation. Constructive choices of the gains in the control law and estimator are proposed which depend only on the coefficients of a polynomial bounding function of the unknown dynamics. The asymptotic stability of the tracking errors and the estimation error is also investigated. Experimentation results verify the theoretical analysis.

2021 ◽  
Vol 54 (4) ◽  
pp. 641-647
Author(s):  
Mukul Kumar Gupta ◽  
Roushan Kumar ◽  
Varnita Verma ◽  
Abhinav Sharma

In this paper the stability and tracking control for robot manipulator subjected to known parameters is proposed using robust control technique. The modelling of robot manipulator is obtained using Euler- Lagrange technique. Three link manipulators have been taken for the study of robust control techniques. Lyapunov based approach is used for stability analysis of triple link robot manipulator. The Ultimate upper bound parameter (UUBP) is estimated by the worst-case uncertainties subject to bounded conditions. The proposed robust control is also compared with computer torque control to show the superiority of the proposed control law.


2020 ◽  
Vol 14 (11) ◽  
pp. 1508-1515
Author(s):  
Jasim Khawwaf ◽  
Jinchuan Zheng ◽  
Hai Wang ◽  
Zhihong Man

2005 ◽  
Vol 124 (2) ◽  
pp. 258-301 ◽  
Author(s):  
Lars Peter Hansen ◽  
Thomas J. Sargent

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