A decoupling control method for rare earth extraction process

Abstract

The invention discloses a decoupling control method of rare earth extraction process. The decoupling control method of rare earth extraction process provides a kernel function extreme learning machinecomponent content model, directing at the characteristics of multivariable, strong coupling and nonlinearity in the rare earth extraction process group, in allusion to the data characteristics of element component content, extractant flow and washing agent flow of monitoring points at two ends of the rare earth extraction process, and establishes a multi-input and multi-output model of rare earthextraction process and converts the multi-input and multi-output model into a plurality of multi-input single-output sub models, by combining with the dynamic process data of different operating phases of the rare earth element CePr / Nd extraction process. The decoupling control method of rare earth extraction process adopts a strategy of performing adaptive adjustment on the deviation weight in the system performance index according to the deviation between the reference trajectory value and the model output value, in the control loop, so as to design a decoupling controller of the rare earthextraction process, thus reducing the coupling between each control loop to realize approximate decoupling control to guarantee the quality of the export products at both ends.

Description

technical field [0001] The invention relates to the field of rare earth extraction process modeling and optimization control, in particular to a decoupling control method for the content of each monitoring level component, extraction agent and detergent flow in the rare earth extraction process. Background technique [0002] Rare earth elements have been widely used in traditional industrial fields and high-tech fields, and are indispensable and important raw materials for related industries. The solvent extraction method commonly used by rare earth separation enterprises in my country to obtain single, high-purity rare earth elements is a multivariable, Complex industrial processes with strong coupling, nonlinear and other working conditions are still in the state of low automation or "offline detection and empirical control". The content distribution of the components in the extraction tank is an important index to measure the quality of the export products at both ends of ...

AI Technical Summary

Problems solved by technology

[0005] With the high efficiency and stability of the rare earth industrial automation production and the continuous improvement of the purity of rare earth products, the method of component content control in the rare earth extraction process is also developing. The adjustment of the rare earth extraction process is based on the PID control algorithm, ignoring the monitoring of each flow rate. Influenced by the set value of the grade component content, it is difficult to achieve the desired effect

Using fuzzy control, expert system and robust adaptive control and other rare earth extraction process control algorithms can achieve better control results. However, fuzzy control and expert system control are controlled by simulating the actual experience of experts. When the extraction site operating conditions change or When disturbed, it cannot be adjusted online in time. The robust adaptive control method is considered from the perspective of global stability, but ignores the dynamic performance of the system; The conventional generalized predictive control algorithm realizes the automatic control of the content of components in the extraction process, comprehensively considering the dynamic performance between variables, but ignoring the influence of coupling between control loops, and the multi-variable, strong coupling in the process industry system Characteristics are the main cause of poor control system performance

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