Title :
Polynomial trajectory tracking of networked Euler-Lagrange systems
Author :
Wang YunPeng ; Cheng Long ; Hou Zeng-Guang ; Tan Min ; Bian Guibin
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
Abstract :
The coordinated tracking problem of networked Euler-Lagrange systems is studied in this paper. According to the knowledge of classical control, an integral term can eliminate the steady-state error when solving the tracking problem. A proportional-integral-derivative (PID) tracking protocol is then first proposed to solve the tracking problem of Euler-Lagrange systems where the leader has a quadratic trajectory. By properly choosing parameters, it is proved that all followers can asymptotically track the leader´s quadratic trajectory if the communication topology graph has a spanning tree. Furthermore, a so-called PImD tracking protocol is derived by adding some high-order integral terms. It is shown that this PImD tracking protocol can solve the tracking problem of networked Euler-Lagrange systems with a leader having the higher-order polynomial trajectory. Finally, two simulation examples are presented to demonstrate the effectiveness of the proposed protocol.
Keywords :
multi-robot systems; polynomials; three-term control; trees (mathematics); PImD tracking protocol; classical control; communication topology graph; coordinated tracking problem; high-order integral terms; leader quadratic trajectory tracking; multiagent system; networked Euler-Lagrange systems; polynomial trajectory tracking; proportional-integral-derivative tracking protocol; spanning tree; steady-state error elimination; Joints; Lead; Manipulators; Polynomials; Protocols; Topology; Trajectory; Coordinated tracking control; Euler-Lagrange system; Integral term; Multi-agent system; Polynomial trajectory;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896862