Robust control system identification method

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.

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...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, robust control methods are relatively mature, but the identification methods for uncertain systems are very limited; at the same time, most robust control methods

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