DocumentCode
510276
Title
Study and Design on Single-Controller and Multi-loops Networked Control System Based on the Task Scheduling with Self-Adaptive Prior
Author
Dianting, Liu ; Dejian, Zhou ; Mingtao, Li
Author_Institution
Dept. of Electron. & Comput., Guilin Univ. of Technol., Guilin, China
Volume
3
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
366
Lastpage
369
Abstract
To aim at the problem of networked control system which is the hotspot of research and application nowadays, a method of self-adaptive prior scheduling of multi-tasks is presented. It is that the prior of each task is determined by its evaluated factors, and then the tasks are dynamically scheduled by their priors in the single-controller. The scheduling rules and the structure of scheduling algorithm are given in this paper. A practical example that the DC motors of X, Y and Z axis of a simple three-axis gear machine tool are controlled by single-controller and through a network is given in this paper, where the the controlling error and the sampling period and the importance of each task is adopted as its assessing factors to calculate its prior dynamically. The results of simulation on the platform of TRUE TIME shows that the method presented in this paper is correct and practical.
Keywords
DC motors; controllers; distributed control; gears; machine tools; sampling methods; scheduling; self-adjusting systems; DC motors; controlling error; multiloops networked control system; sampling period; scheduling algorithm; self-adaptive prior scheduling; single-controller; task scheduling; three-axis gear machine tool; Automatic control; Computer aided manufacturing; Control systems; Dynamic scheduling; Job shop scheduling; Manufacturing automation; Networked control systems; Processor scheduling; Production; Scheduling algorithm; adaptive prior; networked control system; scheduling of multi-task;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.260
Filename
5376699
Link To Document