Distributed Control System

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A whole family of terms denote the accessing of measuring devices, automated analysis, human understandable display and interactive control, and the control of actuators, such as: Industrial Automation and Control Systems, Industrial Control Systems, Process Control Systems, Supervisory Control and Data Acquisition, and Distributed Control Systems.

Definitions

Other International Definitions

International Society of Automation (ISA)

In a control system, refers to control achieved by intelligence that is distributed about the process to be controlled, rather than by a centrally located single unit. [1].


Standard Definition

NIST

DCS are used to control industrial processes such as electric power generation, oil refineries, water and wastewater treatment, and chemical, food, and automotive production. DCS are integrated as a control architecture containing a supervisory level of control overseeing multiple, integrated sub-systems that are responsible for controlling the details of a localized process. Product and process control are usually achieved by deploying feed back or feed forward control loops whereby key product and/or process conditions are automatically maintained around a desired set point. To accomplish the desired product and/or process tolerance around a specified set point, specific PLCs are employed in the field and proportional, integral, and/or derivative settings on the PLC are tuned to provide the desired tolerance as well as the rate of self-correction during process upsets. DCS are used extensively in process-based industries [2].

These systems are usually process control or discrete part control systems. A DCS uses a centralized supervisory control loop to mediate a group of localized controllers that share the overall tasks of carrying out an entire production process. By modularizing the production system, a DCS reduces the impact of a single fault on the overall system. In many modern systems, the DCS is interfaced with the corporate network to give business operations a view of production [2].

See also

Notes