Computer Control of Manufacturing Processes

Victor A. Skormin
Additional contact information
Victor A. Skormin: Binghamton University

Chapter Chapter 3 in Introduction to Process Control, 2016, pp 111-192 from Springer

Abstract: Abstract The availability of a mathematical description of a manufacturing process provides a quantitative basis for process control that is understood as maintaining the desired status of the process in spite of many external and internal disturbance effects. The desired status is defined by the set points, also known as reference signals that represent the desired numerical values of controlled variables of the process. The control task implies that the difference between the actual and desired process variables (error) is determined, and on the basis of this difference and according to the control law, the control efforts are defined and applied to the process. The manner in which the control effort drives the system from its actual state to the desired state, and the allowable discrepancy between the actual and the desired states are quite important. They are dependent on the control law and are explicitly defined by the design specifications along with the discrete time step (or clock frequency). Modern computer systems facilitate every function of the control task; process monitoring, specification of the set points, extraction of the errors, implementation of the control law, and the application of control efforts.

Keywords: Discrete-time control; Classical and state-variable control; Decoupling control; Adaptive control (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-319-42258-9_3

Ordering information: This item can be ordered from
http://www.springer.com/9783319422589

DOI: 10.1007/978-3-319-42258-9_3

Access Statistics for this chapter

More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().