Grinding classification process operation control method based on inverse decoupling active-disturbance-rejection internal model technology

Abstract

The invention discloses a grinding classification process operation control method based on an inverse decoupling active-disturbance-rejection internal model technology. In the method provided by theinvention, by means of combination of inverse decoupling, a linear active-disturbance-rejection controller and internal model control, decoupling control is executed for an intricate grinding classification system which has the characteristics, such as multiple variables, strong coupling and great time lag, wherein the strong coupling characteristic among the multiple variables in the grinding classification system is removed through the inverse decoupling method, two independent single variable loops are formed, time lag compensation is executed for decoupled subsystems through the internal model control method, the linear active-disturbance-rejection controller restrains adverse effects on the system caused by external disturbance and uncertainty factors, and feedback controllers F1(s) and F2(s) are used for improving disturbance rejection property and robustness of the system. The method provided by the invention realizes decoupling control of the multivariable grinding classification process, and improves robust 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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