Wiener Model Identification Method for Ph Neutralization Process Based on Chaos Gravity Search Iteration

Abstract

The invention provides a Wiener model identification method for pH neutralization process based on chaotic gravitational search iteration, which belongs to the field of chemical system identification. The problem of nonlinear dynamic model of pH neutralization process is solved. The technical solution is: the Wiener model identification method of the pH neutralization process based on the chaotic gravity search iteration specifically includes the following steps: Step 1) Construct the Wiener nonlinear system model of the pH neutralization process, and obtain the pH neutralization process according to the system model identification model; Step 2) Construct the iterative identification process of the chaotic gravitational search iterative algorithm. The beneficial effects of the invention are: the invention has accurate calculation and high identification precision, and is suitable for parameter identification of the Wiener nonlinear system of pH neutralization reaction.

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. During chemical wastewater treatment, wastewater 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 across biofilms, 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 the attention of professional and technical personnel in the field of control. [0003] The gain of the pH neutralization process varies greatly between different operating points. In the actual pr...

AI Technical Summary

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

Images