Hybrid Modeling Application in Control Valve

TL;DR

This paper proposes a hybrid modeling approach for control valves that improves prediction accuracy of flow rate and pressure, addressing nonlinearity and parameter uncertainty in physical models.

Contribution

It introduces a mixed model based on physical principles and unbiased LSSVM parameter identification for better control valve predictions.

Findings

Enhanced prediction accuracy demonstrated in DAMADICS simulations

Effective parameter identification for control system operation

Potential for improved automatic control and fault diagnosis

Abstract

In view of the serious nonlinearity, time-varying and parameter uncertainty in the physical model of regulating valve, a prediction model of flow rate and pressure of regulating valve based on mixed model was proposed.According to the physical model of the regulator, the parameters that can represent the operation state of the regulator are analyzed, and the relevant parameters are identified by unbiased LSSVM method.The DAMADICS simulation results show that the model can predict the output of flow rate and pressure with better accuracy, which can provide guidance for the design of automatic control valve or fault diagnosis system.