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The Nonfragile Controller with Covariance Constraint for Stable Motion of Quadruped Search-Rescue Robot
Author(s) -
Wang Peng,
Li Jixiang,
Zhang Yuan
Publication year - 2014
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
ISSN - 1687-8132
DOI - 10.1155/2014/917381
Subject(s) - control theory (sociology) , covariance , jacobian matrix and determinant , controller (irrigation) , robot , kinematics , constraint (computer aided design) , angular velocity , covariance matrix , linear matrix inequality , mathematics , computer science , mathematical optimization , control (management) , artificial intelligence , algorithm , physics , statistics , geometry , classical mechanics , quantum mechanics , agronomy , biology
The problem of a stable motion for the quadruped search-rescue robots is described as a variance constrained uncertainty in the discrete systems. According to the model structure of the quadruped search-rescue robot, the kinematics of the robot is analyzed on the basis of the D - H parameter. Each joint of the robot angular velocity is planned using the Jacobian matrix, because the angular velocity is directly related to the stability of walking based on the ADAMS simulation. The nonfragile control method with the covariance constraint is proposed for the gait motion control of the quadruped search-rescue robot. The motion state feedback controller and the covariance upper bounds can be given by the solutions of the linear matrix inequalities (LMI), which makes the system satisfy the covariance constrain theory. The results given by LMI indicate that the proposed control method is correct and effective.

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