Title :
Predictive control of multiple UGVs in a NCS with adaptive bandwidth allocation
Author :
Klingenberg, Bryan R. ; Ojha, Unnati ; Chow, Mo-Yuen
Author_Institution :
Autom. & Control (ADAC) Lab., North Carolina State Univ., Raleigh, NC, USA
Abstract :
In network based path tracking control of systems with multiple unmanned ground vehicles (UGVs), performance can be affected by network constraints including time-varying network delays and bandwidth limitations. Network delay has previously been compensated for using smith predictor based techniques and gain scheduling to limit UGV motion. The predictive gain scheduler introduced in this paper uses the predicted trajectory and future path to maximize allowable travel while considering the network delay. On the other hand, bandwidth management has been approached by optimizing total bandwidth usage under performance constraints. However, by optimizing the performance of the UGVs under bandwidth constraints, the total networked control system performance increases.
Keywords :
delays; predictive control; remotely operated vehicles; time-varying systems; bandwidth management; gain scheduling; multiple unmanned ground vehicles; network based path tracking control; networked control system; predictive control; smith predictor based techniques; time-varying network delays; Adaptive control; Bandwidth; Channel allocation; Constraint optimization; Control systems; Land vehicles; Predictive control; Programmable control; Time varying systems; Trajectory;
Conference_Titel :
Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
Conference_Location :
Porto
Print_ISBN :
978-1-4244-4648-3
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2009.5415273