Controlled object frequency domain phase characteristic identification method and apparatus thereof

Abstract

The invention discloses a controlled object frequency domain phase characteristic identification method and an apparatus thereof. The method comprises the following steps: adding a frequency spectrum identification signal into an input signal of a regulation loop which is formed by an regulator and the controlled object; filtering an output signal of the regulator and acquiring a reference frequency signal; filtering the output signal of the controlled object which is connected with an output terminal of the regulator and acquiring a process frequency signal; comparing a phase of the reference frequency signal with the phase of the process frequency signal and acquiring a controlled object frequency domain transmission phase value. Through using the method and the apparatus of the invention, frequency spectrum resources can be saved and the frequency domain phase characteristic of the controlled object can be identified. All the continuous frequency spectrum resources of a thermal object are not needed. A limited quantity of non-continuous single frequency point spectrums are only needed. Through using a filter to filter the single frequency point frequency spectrum signal, most of the interference signals can be eliminated.

Description

technical field [0001] The invention relates to the technical field of thermal control, in particular to a method and device for identifying frequency-domain phase characteristics of a control object. Background technique [0002] Thermal control objects in thermal power plants have the characteristics of large inertia, pure delay, and time-varying characteristics, especially the characteristics of the control objects are difficult to understand in depth and accurately, making the system difficult to control. How to effectively overcome various adverse effects, thereby improving the regulation quality of thermal control loops, has always been one of the goals constantly pursued in the field of thermal control. In order to improve the control quality of thermal objects, it is very important to identify the control object model. [0003] The existing object model identification technology is mainly based on the identification of the characteristics of the process object model...

AI Technical Summary

Problems solved by technology

[0003] The existing object model identification technology is mainly based on the identification of the characteristics of the process object model in the time domain, and there are three main problems: First, the realization algorithm of the time domain identification is complicated, so it is difficult to implement it in the existing DCS application

In order to obtain a higher identification accuracy, a sufficient excitation signal with a higher amplitude is required, which has a greater impact on the normal production of the process technology

The combination of these problems makes it difficult for existing model identification techniques to be widely used in practice

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