Operation Control Method of Grinding and Classifying Process Based on Inverse Decoupling Active Disturbance Rejection Internal Model Technology

Abstract

The invention is an operation control method of the grinding and grading process based on the inverse decoupling active disturbance rejection internal model technology. This method combines inverse decoupling, linear active disturbance rejection controller and internal model control to perform decoupling control on complex grinding and grading systems with multi-variable, strong coupling and large time-delay, among which the inverse decoupling method The strong coupling between the multi-variables in the grinding and grading system is released to form two independent single-variable loops. The internal model control method performs time-delay compensation on the decoupled subsystems, and the linear active disturbance rejection controller restrains the external Adverse effects of disturbance and uncertainty factors on the system and the feedback controller F 1 (s), F 2 (s) are used to improve the anti-jamming and robustness of the system. The invention realizes the decoupling control of the multi-variable grinding and grading process, and improves the robustness and stability of the system.

Description

technical field [0001] The invention relates to the technical field of the grinding and grading process, in particular to an operation control method for the grinding and grading process based on an inverse decoupling active disturbance rejection internal model technology. Background technique [0002] In the metallurgical beneficiation industry, the ore grinding operation is to grind and crush the ore, and separate the useful minerals from a large amount of useless gangue. If the separation degree of useful minerals is not good or the degree of over-powdering is serious during the grinding process, the metal content of the beneficiation product will be reduced. Recovery rates drop, so grinding becomes a prerequisite for any beneficiation method. [0003] In the actual industrial process, the grinding and grading process is affected by factors such as measurement noise, model parameter perturbation, and uncertainty disturbance in the transmission process. The control accura...

AI Technical Summary

Problems solved by technology

However, traditional decoupling methods involve matrix inversion calculations, which complicate the decoupler and are not suitable for high-dimensional multivariable systems.

If the method of model reduction is used to fit the transfer function value of the controlled object, although the decoupler is simplified, the system error will increase, and the decoupling accuracy and robust stability will decrease.

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