Object identification and control system optimization setting method based on model system

Abstract

The invention belongs to the technical field of control system optimization, particularly relates to an object identification and control system optimization setting method based on a model system, and aims to solve problems that a time-delay-free controlled object cannot be optimized and efficiency is low in the prior art. The method comprises the following steps of constructing mathematical models of a controlled object, a controller and a filter of a time-delay or time-delay-free system and a model filter and a model object of a model system; setting an initial value of a system estimationobject parameter; taking the jump signal of the amplitude R as a test input, obtaining a test output of the system and a test output of the model system, and calculating a correction value of an object parameter of the system and a specific evaluation index of the system; and iteratively correcting system estimation object parameters till a specific evaluation index of the system is optimal, and obtaining object identification parameters with time delay or without time delay and an optimized and set control system. According to the method, the optimization setting process of time-delay and time-delay-free systems is fast, the algorithm is stable, reliability and the anti-interference capability are high, and the field application is convenient.

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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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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