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Process control in which the process variables are fed into a computer and the output of the computer is used to control the process.



Related Terms

OBSERVATION SPILLOVER

The part of the sensor output of an active control system caused by modes that have been omited from the control algorithm in the process of model reduction.

FEEDFORWARD CONTROL

Process control in which changes are detected at the process input and an anticipating correction signal is applied before process output is affected.

OUTPUT-LIMITED

Restricted by the need to await completion of an output operation, as in process control or data processing.

GROUNDED-GRID AMPLIFIER

An electrontube amplifier circuit in which the control grid is at ground potential at the operating frequency; the input signal is applied between cathode and ground, and the output load is connected between anode and ground.

CONTROL-SYSTEM FEEDBACK

A signal obtained by comparing the output of a control system with the input, which is used to diminish the difference between them.

NONLINEAR FEEDBACK CONTROL SYSTEM

Feedback control system in which the relationships between the pertinent measures of the system input and output signals cannot be adequately described by linear means.

CONTROL SPILLOVER

The excitation by an active control system of modes of motion that have been omitted from the control algorithm in the process of model reduction.

DEAD TIME

  1. The time interval between a change in the input signal to a process control system and the response to the signal.
  2. The time interval, after a response to one signal or event, during which a system is unable to respond to another. Also known as insensitive time.

MODEL REDUCTION

The process of discarding certain modes of motion while retaining others in the model used by an active control system, in order that the control system can compute control commands with sufficient rapidity.

FUZZY CONTROLLER

An automatic controller in which the relation between the state variables of the process under control and the action variables, whose values are computed from observations of the state variables, is given as a set of fuzzy implications or as a fuzzy relation.

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