VARIABLE SAMPLING RATE IN NETWORKED CONTROL SYSTEM
Dragan Obradovic, Bernhard Lang, Da Xu, Chih-Chung Chen
In this paper we propose a variable sampling rate approach for networked control system. During control procedure we regulate sampling rate in terms of system behavior intensity. Input increment is used as indicator to reflect the system intensity. A regulator is placed at the controller side, with fullstate feedback it can predict the system behavior in the future and determine the next sampling instant according our regulation rule. We implement our approach both over ideal network and average modeled dropout network. By simulation we show that by using our approach we realize more effective usage of network bandwidth than using constant sampling rate. We also present simulation method, wherein we can find regulation rule that optimize the networked control systems.