A Method for Evaluation and Diagnosis of Multiple Automatic Regulating Loops in Thermal Power Plants

Abstract

A heat-engine plant multi-automatic adjusting loop evaluation diagnosis method takes the loops as units, acquires the real-time data and stores the data, on the basis of data storage, calculates in allusion to the main indexes of the control performances of each automatic adjusting loop, and carries out the fault diagnosis on the sensors and the actuators in the automatic adjusting loops. The control performance evaluation needs a lot of data and is low in real-time performance, and the fault diagnosis needs partial data and is high in real-time performance requirement, so that the heat-engine plant multi-automatic adjusting loop evaluation diagnosis method adopts different cycles to divide. By arranging the automatic adjusting loops and then calculating orderly according to the cycles, the control performance evaluation and the fault diagnosis of the multiple automatic adjusting loops can be carried out simultaneously.

Description

technical field [0001] The invention belongs to the field of industrial control, and in particular relates to an evaluation and diagnosis system for the control performance of an automatic regulation loop of a thermal power generating set. Background technique [0002] With the improvement of industrial automation level, the scale of industrial control system is getting bigger and bigger. A large industrial control system has hundreds of control loops. One of the important tasks faced by process control technology is the monitoring and maintenance of the control system. During the use of the control system, there are many reasons that will cause the performance of the controller to decline, such as the aging of equipment, nonlinear effects, etc. In order to ensure that the controller can work under the designed performance, it is necessary to analyze a large amount of process data To judge the performance of the controller in the working process. A large automation system h...

AI Technical Summary

Problems solved by technology

However, this method has high requirements for the adjustment process in practice and requires strict data trends

In addition, the previous evaluation methods were not combined with fault diagnosis, and did not eliminate fault conditions.

At the same time, the usual evaluation and diagnosis methods are only for individual automatic adjustment loops, lacking the comprehensive application of multiple control loops in the industrial control process

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