PH neutralization process Wiener model identification method based on chaotic gravitation search iteration

Abstract

The invention provides a pH neutralization process Wiener model identification method based on chaotic gravitation search iteration, belongs to the field of chemical system identification and solve aproblem of a nonlinear dynamic model in the pH neutralization process. The method is characterized in that the pH neutralization process Wiener model identification method based on chaotic gravitationsearch iteration specifically comprises steps of step 1) constructing a pH neutralization process Wiener nonlinear system model, and obtaining an identification model of the pH neutralization processaccording to a system model; and (2) constructing an iterative identification process of a chaotic gravitational search iterative algorithm. The method is advantaged in that the calculation is accurate, identification precision is high, and the method is suitable for parameter identification of a pH neutralization reaction Wiener nonlinear system.

Description

technical field [0001] The invention relates to the field of chemical system identification, in particular to a Wiener nonlinear model identification of pH neutralization process based on chaotic gravity search iteration. Background technique [0002] Control of pH processes is a frequently encountered problem in the chemical process and biotechnology industries. In the process of chemical wastewater treatment, the sewage from the treatment plant must be neutralized before it can be safely discharged into the environment. In the pharmaceutical industry, pH affects the solubility, stability, and permeability of drugs through biomembranes, so tight pH control is critical. Due to its wide application and importance in the actual production process, the automatic control of pH value has always been concerned by professional and technical personnel in the field of control. [0003] The gain of the pH neutralization process varies greatly between different operating points. In t...

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Problems solved by technology

[0003] The gain of the pH neutralization process varies greatly between different operating points. In the actual process, there are time-delay links such as mixing and measurement, which are highly nonlinear, and it is difficult to obtain an accurate mathematical model. If the identification model If it is not accurate enough, the subsequent analysis, prediction and control will not be successful. Therefore, it is necessary to design a corresponding identification method based on the input and output data of the system to establish a nonlinear dynamic model of the pH neutralization process.

In recent years, many scholars have proposed techniques for controlling the pH process, most of which use nonlinear and adaptive control techniques. However, nonlinear controllers with adaptive mechanisms are not easy to construct, and it is difficult to generalize the effective control for multiple pH regions. Therefore, according to the input and output data of the system, it is necessary to design the corresponding identification method to establish the nonlinear dynamic model of the pH neutralization process

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