By Topic

Sampling Rate Scheduling and Digital Filter Co-design of Networked Supervisory Control System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zheng Li ; North Carolina State Univ., Raleigh ; Mo-Yuen Chow

A networked supervisory control system is one type of networked control systems (NCS) in which a supervisor monitors and analyzes remote plants via communication network. This paper proposes an adaptive multiple sampling rate scheduling (AMSRS) methodology with digital filters in the signal process steps of the control loop to maintain the transmitted measurement signals' fidelity in order to help supervisor's decision making under normal and faulty operating conditions. Specifications of digital filters are chosen according to the system's frequency domain characteristics to bound the signal sampling and reconstruction errors as well as conserve available resource. A networked high throughput screening (HTS) process supervisory control system is used as a case study in this paper to demonstrate the effectiveness of using digital filters in the sampling rate scheduling method. A comparison between using the digital filter and previous zero-order hold approach (Z. Li and M.-Y. Chow, 2006) in signal reconstruction shows that digital filters can further reduce the reconstruction error. Furthermore, the use of filters extensively reduces the amount of consuming bandwidth (resource) in signal sampling and transmission (e.g., 40% and 56% bandwidth saved by two types of digital filters in specific case), and improves the system performance bounded by the limited resources.

Published in:

Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on

Date of Conference:

4-7 June 2007