DocumentCode :
2000969
Title :
Semi-Decentralized Optimal Control Technique for a Leader-Follower Team of Unmanned Systems with Partial Availability of the Leader Command
Author :
Kazerooni, E. Semsar ; Khorasani, K.
Author_Institution :
Concordia Univ., Quebec
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
475
Lastpage :
480
Abstract :
The main goal of this work is to design a controller for a team of unmanned vehicles that can accomplish a cohesive motion in a modified leader-follower structure. The desired output (command) is available for only the leader and the followers are communicating to the leader and among themselves in a ring topology. This team would be able to move together with a consensus on the desired output or leader command. A semi-decentralized optimal control strategy is designed based on minimization of a cost function defined for the group using local information. The interaction between vehicles due to information exchange is modelled in the characterization of the dynamical model of each vehicle and for this purpose the control input is divided into two parts, local and global control. Through incorporating interaction terms in the model of the team, a semi-decentralized control based on the available information is designed. The minimization of the proposed cost function results in a modified consensus algorithm for a leader-follower structure while the leader command is available partially. Finally, the simulation results are presented to show the effectiveness of our proposed method in achieving predefined requirements and goals.
Keywords :
control system synthesis; decentralised control; optimal control; remotely operated vehicles; cohesive motion; controller design; cost function minimization; leader command; leader-follower team; modified consensus algorithm; modified leader-follower structure; ring topology; semi-decentralized optimal control technique; unmanned systems; unmanned vehicles; Cost function; Feedback; Intelligent sensors; Intelligent transportation systems; Intelligent vehicles; Optimal control; Topology; Uncertainty; Unmanned aerial vehicles; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376402
Filename :
4376402
Link To Document :
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