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

Content Provider	IEEE Xplore Digital Library
Author	Zheng Li Mo-Yuen Chow
Copyright Year	2007
Description	Author affiliation: North Carolina State Univ., Raleigh (Zheng Li; Mo-Yuen Chow)
Abstract	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.
Starting Page	2893
Ending Page	2898
File Size	776779
Page Count	6
File Format	PDF
ISBN	9781424407545
DOI	10.1109/ISIE.2007.4375073
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-04
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sampling methods Digital filters Supervisory control Signal sampling Signal processing Bandwidth Networked control systems Communication networks Programmable control Adaptive control
Content Type	Text
Resource Type	Article

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