Robust control system identification method

A system identification and robust control technology, applied in the field of robust control system identification, can solve the problems of limited identification methods for uncertain systems, inability to meet the requirements of the control process, and inconsistency with actual conditions, and achieve the effect of improving efficiency.

CN108279567AActive Publication Date: 2018-07-13ZHEJIANG SUPCON SOFTWARE +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2018-07-13

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Abstract

The invention provides a robust control system identification method and belongs to the control field. The robust control system identification method is used for determining the value interval of non-linear system parameters and comprises establishing a discrete switch model equation, and simplifying a discrete switching model to acquire a concise expression of the equation; acquiring model inputand output data, substituting the model data into the concise expression for solving to acquire an equation parameter data set; filtering the data inside the parameter data set to acquire filtered data, and redistributing the filtered data to acquire a redistributed parameter data set. By basing the thought of maximum feasible set during a parameter data set determining process and meanwhile applying an efficient approximate calculation method, the robust control system identification method can help rapidly identify the parameter upper and lower limits of a time-varying system, make up the deficiency of various identification methods in the prior art and improve the efficiency of determining the value range of parameters.
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Description

technical field

[0001] The invention belongs to the field of control, in particular to a system identification method for robust control. Background technique

[0002] In the process of controller design, the controlled object is usually described as a linear system or a nonlinear system is expanded near a certain operating point and then approximated as a linear system, and then a linear controller is introduced on this basis.

[0003] In the chemical industry, the characteristics of the controlled object (such as flow, temperature, pressure, etc.) will change with time under many working conditions (this type of system is also called a time-varying system) or the controlled object has strong nonlinearity . Therefore, the parameters of the approximated linear system cannot represent the real system well. That is, the parameters of the actual system are uncertain; or there is a certain deviation between the model and the actual system. In order to ensure smooth production...

Examples

Embodiment 1

[0049] The present invention provides a system identification method for robust control, which is used to determine the value range of nonlinear system parameters, such as figure 1 As shown, the system identification method includes:

[0050] 11. Establish the discrete switching model equation, simplify the discrete switching model, and obtain the concise expression of the equation;

[0051] 12. Obtain the model data, substitute the model data into the simple expression to solve, and obtain the equation parameter data set;

[0052] 13. Filter the data in the parameter data set to obtain the filtered data, and perform a redistribution operation on the filtered data to obtain a redistributed parameter data set.

[0053] In practice, in order to achieve robust control of the control system, it is often necessary to determine the value or value range of the parameters of the existing nonlinear system (time-varying system) to obtain a system parameter range that is convenient for ...