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An Adaptive Identification Method for First-Order Inertial Delay Model of Industrial Process

A model adaptive, industrial process technology, applied in computational models, biological models, instruments, etc., can solve the problems of repeatability and identification stability that need to be further developed

Active Publication Date: 2020-11-24
XIAN THERMAL POWER RES INST CO LTD +1
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  • Application Information

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Problems solved by technology

Some other self-tuning methods, such as genetic algorithm, neural network identification, etc., the repeatability of the results and the stability of the identification need to be further developed

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  • An Adaptive Identification Method for First-Order Inertial Delay Model of Industrial Process

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Embodiment Construction

[0069] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0070] An adaptive identification method for a first-order inertial delay model of an industrial process provided by the present invention comprises the following steps:

[0071] 1. Establish the mathematical transfer function model of the actual control process. Taking the boiler of a coal-fired unit as an example, in the traditional coordinated control system, many conventional subsystems can be summarized as a first-order inertial delay model. The mathematical transfer function model is as follows:

[0072]

[0073] Among them, G(s) is the mathematical transfer function; s is the Laplacian operator; K is the transfer function gain; T 1 is the first-order inertia time; τ is the transfer function delay time;

[0074] 2. Use the identification program to establish the control model, and use the particle swarm and Junger-Kutta method to sol...

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Abstract

The invention discloses a first-order inertia delay model adaptive recognition method of an industrial process. By utilizing characteristics of particle swarm adaptive optimizing and establishing a transfer model and a dynamic particle swarm base, a particle swarm optimizing algorithm is converted into online adaptive optimizing; online recognition errors are solved by fourth-order Runge-Kutta differential calculation; adaptive recognition of process parameters can be achieved within a safe and stable range; precision and adaptiveness of process parameter recognition can be improved. Comparedwith traditional setting methods, the method of the invention allows online dynamic optimizing and enables the calculation amount of an optimizing process to be reduced to limited degree.

Description

technical field [0001] The invention relates to the identification of industrial process parameters in the field of coordinated control of coal-fired units, in particular to an adaptive identification method for a first-order inertial delay model of an industrial process. Background technique [0002] my country's power supply pattern dominated by coal-fired power stations will not change fundamentally for a long time in the future, and the coordinated optimization control of coal-fired units has always been a key issue studied by many experts and scholars, especially how to quickly and efficiently Accurately judge the transfer function characteristics of industrial processes such as boiler combustion rate-main steam pressure, door opening-unit load, etc. At present, the conventional tuning method is mainly to carry out corresponding step tests at different load points, and conduct offline identification according to the response results, and need to use third-party tools suc...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/15G06F17/13G06N3/00F22B35/00
CPCF22B35/00G06F17/13G06F17/15G06N3/006
Inventor 王林郭亦文高林李晓博高海东
Owner XIAN THERMAL POWER RES INST CO LTD