Adaptive Multiple Sampling Rate Scheduling of Real-time Networked Supervisory Control System - Part I

A networked supervisory control system is one type of network control systems (NCS) in which a supervisor monitors and analyzes remote plants via communication network. Proper supervisory instruction relies on proper transmitted measure signals. The bandwidth limitations on the network may impose constraints on the amount of information transmitted through network for supervisory purposes. Part I of these papers proposes an adaptive sampling rate scheduling (ASRS) methodology to maintain the transmitted measurement signals´ fidelity, as well as conserve available bandwidth in order to help supervisory control system under normal and abnormal operating conditions. A networked high throughput screening (HTS) process supervisory control system is used as a case study in this paper to demonstrate the effectiveness of the sampling rate scheduling algorithm. Part II of these papers proposes an adaptive multiple sampling rate scheduling (AMSRS) algorithm to dynamically adjust sampling rates and allocate available bandwidths to transmit measurements from the remote plants to the supervisors