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Method and system for controlling an industrial process

A technology of industrial process and control method, which is applied in general control system, control/regulation system, adaptive control, etc., and can solve the problem of not providing the temperature distribution map of the rotary kiln, etc.

Active Publication Date: 2011-08-24
ABB (SCHWEIZ) AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] While the combination of the three measurements provides the combustion zone temperature as a fairly reliable indicator of the combustion zone temperature, it does not provide a map of the temperature profile along the entire length of the rotary kiln

Method used

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  • Method and system for controlling an industrial process
  • Method and system for controlling an industrial process
  • Method and system for controlling an industrial process

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Embodiment Construction

[0025] image 3 A conventional control system 3 is shown comprising a process controller 31 for controlling an industrial process 32 based on a user-defined set point r.

[0026] The control system 3 further comprises an index generator 33 comprising a fuzzy logic system or an expert system. The indicator generator 33 is configured so that based on the set y of measured process variables y 2 and / or a set u based on the manipulated variable u 2 To generate the fuzzy logic index z, the controlled variable u is generated by the process controller 31 for controlling the industrial process 32 . The fuzzy logic index z is fed back to the process controller 31, which is thus configured as a fuzzy logic system or expert system based controller to obtain the set point of the controlled variable u based on the fuzzy logic index z.

[0027] For example, in the cement production process, specifically, when the rotary kiln 1 is running during the cement production process, the fuzzy inde...

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Abstract

A control system (4) for controlling an industrial process (42), comprises an indicator generator (43) configured to determine at least one fuzzy logic based indicator (z) from the measured process variables (y). The control system (4) further comprises a state estimator (44) configured to determine estimated physical process states ( x ) based on the fuzzy indicator (z). For controlling the industrial process (42), the process controller (41) is configured to calculate manipulated variables (u) based on defined set-points (r) and based on a physical model of the process (42) using the estimated physical process states (x ). Combining a fuzzy logic indicator (z) with a model based process controller (41) makes it possible to provide robust indicators of the process states ( x ) for controlling an industrial process (42) in a real plant situation measured process variables (y) possibly contradict each other.

Description

technical field [0001] The present invention relates to systems and control methods for controlling industrial processes. In particular, the present invention relates to systems and control methods for controlling industrial processes (such as in cement production) by calculating manipulated variables based on defined set points and fuzzy logic indicators determined from measured process variables. during operation of the rotary kiln). Background technique [0002] In advanced process control of industrial processes, many different system configurations are known for control algorithms. However, if image 3 As shown, all systems generate setpoints (manipulated variables u) for a set of actuators, according to a user specification (setpoint r), taking into account measurements obtained from a set of sensors (process variable y). Typically, not all desired process variables y are measurable, and therefore indicator generator 33 is used to determine process indicators z that ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/0275G05B13/04
Inventor K·斯塔德勒E·加莱斯泰阿尔瓦雷茨J·波兰
Owner ABB (SCHWEIZ) AG
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