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The resulting sensing and control architecture consists of multiple layers including real time monitoring, local and supervisory control architecture, Principle Component Analysis (PCA) based supervisory control and RTO.
The paper presents a multi-level supervisory control architecture for systems modelled in the framework and derives the properties of the overall control system.
We illustrate the applicability of this model-driven approach by migrating (part of) the supervisory control architecture of an advanced manufacturing machine: a wafer scanner developed by ASML.
The proposed supervisory control architecture is shown to regulate to zero the state of the system without requiring the switching to stop in finite time.
In this two-part publication, we present the complete workflow of data collection, model development and validation, control tuning, dynamic optimization formulation and solution, and supervisory control architecture for a coal-fired subcritical power plant.
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This paper describes an approach for the migration of supervisory machine control architectures towards this alternative approach.
The control system is organized at three levels, local, hydrodynamic and metallurgic supervisory controls, in an architecture including field controllers, PLC and PC networks.
The types of architecture most commonly used are controller area, supervisory control and data acquisition, industrial Ethernet, DeviceNet, HART field, and industrial local area networks (LAN).
Design of dynamic controllers and supervisory control schemes are also presented.
In this chapter, the evaluation and architectures of the supervisory control and data acquisition (SCADA) systems are discussed in detail.
This paper presents an implemented system architecture for intelligent knowledge-based supervisory control (IKBSC) of a rolling mill process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com