Gain Estimation Method of Dynamic System Based on Steady-state Value of Historical Data

Abstract

The invention provides a dynamic system gain estimation method based on a historical data steady-state value, and the method comprises the steps: firstly, dividing an input time sequence and an outputtime sequence into short data segments through employing a linear segmentation representation method, and finding out data segments with input and output being in a steady state at the same time; calculating input and output steady-state values from the data segment under the steady-state condition; elements, in the steady-state values, associated with the same steady-state gain in statistical significance are found, the elements are divided into one group, the steady-state gain of each group is estimated, and interval estimation of estimation parameters is given. According to the method, theinput and output steady-state values can be automatically found in the historical data sample, a plurality of steady-state gains under different working conditions can be accurately and effectively estimated, verification is carried out through a visualization method, and the problems that the time consumption for searching the steady-state values is long, the steady-state values are easily influenced by nonlinearity and the steady-state gain change is difficult to detect are solved.

Description

technical field [0001] The invention relates to a dynamic system gain estimation method based on historical data steady state value. Background technique [0002] Steady-state gain is the fundamental information needed for dynamic system control, diagnostics, and optimization. The characteristics of dynamic systems in the real-time operation stage are often different from those in the design stage. Therefore, the steady-state gains obtained in the phase of designing a dynamic system are usually not available in the real-time operation phase and must be updated. In addition, many dynamical systems are inherently nonlinear, so their steady-state gains tend to change as the dynamical system rests at different operating points. [0003] At present, two methods are commonly used to estimate the steady-state gain: a practical method is to obtain the steady-state values ​​of the input and output of the dynamic system through some special tests to estimate the steady-state gain. ...

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Problems solved by technology

[0004] In order to solve the above problems, the present invention proposes a dynamic system gain estimation method based on historical data steady-state values. The present invention does not need to manually perform or introduce some special tests, and directly finds the system gain in an automatic manner from historical data samples. The steady-state values ​​of the input and output overcome the influence of the nonlinearity of the dynamic system on the data samples, and the problem that the dynamic system has multiple steady-state gains that cannot be estimated under different working conditions

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