| dc.contributor |
Griff L. Bilbro, Committee Member |
|
| dc.contributor |
Mo-Yuen Chow, Committee Chair |
|
| dc.contributor |
Hamid Krim, Committee Member |
|
| dc.contributor |
Douglas S. Reeves, Committee Member |
|
| dc.creator |
Tipsuwan, Yodyium |
|
| dc.date |
2010-04-02T19:01:27Z |
|
| dc.date |
2010-04-02T19:01:27Z |
|
| dc.date |
2003-12-02 |
|
| dc.date.accessioned |
2023-02-28T17:07:18Z |
|
| dc.date.available |
2023-02-28T17:07:18Z |
|
| dc.identifier |
etd-08282003-105850 |
|
| dc.identifier |
http://www.lib.ncsu.edu/resolver/1840.16/4811 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/265521 |
|
| dc.description |
Performances of closed-loop control systems operated over a data network are typically degraded by network-induced delays. Furthermore, the closed-loop control systems can become unstable. The purpose of this research has been to develop a control methodology to handle network-induced delay effects using optimal gain scheduling on existing controllers. The proposed gain scheduling technique adapts controller gains externally by modifying a controller output to enable the controller for uses over a data network. Since existing controllers can still be utilized, the proposed methodology can reduce control system reinstallation and replacement costs. First, the effectiveness of the proposed gain scheduling technique on networked DC motor speed control using a PI (Proportional-Integral) controller is investigated. Also, the concept of network traffic condition measurement to select optimal controller gains is presented. Then, a middleware framework to measure network traffic conditions on an IP network based on delays and delay variations and to modify controller gains is described. Suggestion of using neural network in the gain scheduling scheme is also given. Finally, the gain scheduling technique with the middleware framework is then extended to mobile robot path-tracking control. |
|
| dc.rights |
I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
|
| dc.subject |
Internet |
|
| dc.subject |
delay analysis |
|
| dc.subject |
delay compensation |
|
| dc.subject |
control systems |
|
| dc.subject |
DC motors |
|
| dc.subject |
distributed control |
|
| dc.subject |
real time system |
|
| dc.subject |
mobile robots |
|
| dc.subject |
telerobotics |
|
| dc.subject |
networks |
|
| dc.subject |
factory automation |
|
| dc.subject |
distributed control |
|
| dc.subject |
adaptive control |
|
| dc.subject |
communication control applications |
|
| dc.subject |
communication networks |
|
| dc.subject |
communication protocols |
|
| dc.title |
Gain Scheduling for Networked Control System |
|