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Object Identification and Control System Optimal Tuning Method Based on Model System

A control system and object identification technology, applied in general control systems, adaptive control, control/regulation systems, etc., can solve the problems of optimization, low optimization efficiency, and inability to carry out controlled objects without delay.

Active Publication Date: 2021-09-10
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0007] In order to solve the above-mentioned problems in the prior art, that is, the prior art cannot optimize the controlled object without delay, and the optimization efficiency is low, the present invention provides an object identification and control system optimization setting method based on a model system, The method includes:

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  • Object Identification and Control System Optimal Tuning Method Based on Model System
  • Object Identification and Control System Optimal Tuning Method Based on Model System
  • Object Identification and Control System Optimal Tuning Method Based on Model System

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Embodiment Construction

[0065] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0066] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0067] The invention provides an object identification and control system optimization and tuning method based on an exemplary system. On the basis of the model of the optimal control system method based on an exemplary system, the method adds an exemplary system model for no time-de...

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Abstract

The invention belongs to the technical field of control system optimization, specifically relates to an object identification and control system optimization and tuning method based on a model system, and aims to solve the problem that the prior art cannot optimize the controlled object without delay and has low efficiency. The invention includes: constructing the mathematical model of the time-delay or no-delay system controlled object, controller and filter, and the model system model filter and model object; setting the initial value of the system estimation object parameter; As the test input, obtain the test output of the system and the test output of the model system, calculate the correction value of the object parameter of the system and the system-specific evaluation index; iteratively correct the system-estimated object parameter until the system-specific evaluation index is optimal, and obtain time delay or Object identification parameters without time delay and optimized control system. The invention has the advantages of fast optimization and setting process for time-delay and no-time-delay systems, stable algorithm, high reliability and anti-interference ability, and convenient field application.

Description

technical field [0001] The invention belongs to the technical field of control system optimization, and in particular relates to an object identification and control system optimization and setting method based on a model system. Background technique [0002] The control system optimization methods commonly used in the current industrial process control are basically divided into three categories: one is the method in which the operator sets the PID control parameters one by one for specific objects based on experience. The disadvantage is that human experience is too random to ensure optimization. Results; the other category is to first identify the model parameters for specific objects, and then use the optimization process of a certain target to determine the adjustment control parameters. However, the identification algorithm is generally more complicated, and it is necessary to repeatedly search, iterate, and approximate specific objects The optimization process makes t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 邱育东张文生
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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