Title :
Distributed tracking for networked Euler-Lagrange systems using only relative position measurements
Author :
Qingkai Yang ; Hao Fang ; Yutian Mao ; Jie Huang ; Jian Sun
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
In this paper, the problem of distributed coordinated tracking control for networked Euler-Lagrange systems using only relative position measurements is studied. Under the condition that only a subset of followers have access to the leader, sliding mode estimators are developed to estimate the states of the dynamic leader accurately in finite time. A set of distributed observers which only uses relative position information is designed to deal with the unavailability of the followers´ velocities. Using the observer outputs, distributed control laws are proposed such that the objective of tracking a dynamic leader under a spanning tree is achieved. The asymptotic stability of the proposed distributed observer-controller is proved through Lyapunov method. Numerical simulation results are also provided to show the effectiveness of the control laws.
Keywords :
Lyapunov methods; asymptotic stability; distributed control; networked control systems; observers; trees (mathematics); variable structure systems; Lyapunov method; asymptotic stability; distributed control laws; distributed coordinated tracking control; distributed observer-controller; dynamic leader; networked Euler-Lagrange systems; relative position measurements; sliding mode estimators; spanning tree; Angular velocity; Joints; Lead; Observers; Position measurement; Topology; Vectors;
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
DOI :
10.1109/ASCC.2013.6606098