Predictive control and optimization analysis of ball mill system for coal mine

Xiaoyue Liu; Hongyuan Cui

doi:10.1117/12.2686468

10 August 2023 Predictive control and optimization analysis of ball mill system for coal mine

Xiaoyue Liu, Hongyuan Cui

Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127590C (2023) https://doi.org/10.1117/12.2686468
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China

Abstract

The ball mill grinding system in the mine has strong non-linearity, large time lag and coupling, and it is difficult to control, and the application of traditional control methods cannot timely and accurately control the mill grinding and grading process in practical applications. To solve this problem, a generalized predictive control algorithm with proportional integration with improved gray wolf optimization is proposed to control the grinding process of ball mill. Considering the feedback structure of proportional integral type generalized predictive control and the implicit decoupling and prediction function of generalized predictive control algorithm, the optimal control of the feed amount and graded overflow concentration of the ball mill is realized, and the parameters are tuned by improving the gray wolf optimization, so as to improve the performance of the control system. The simulation results show that the control method has good tracking and anti-disturbance ability, and can realize efficient control of the grinding and grading process.

Citation Download Citation

Xiaoyue Liu and Hongyuan Cui "Predictive control and optimization analysis of ball mill system for coal mine", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127590C (10 August 2023); https://doi.org/10.1117/12.2686468

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