Research progress on the application of fuzzy control technology in mineral processing

CHEN Yan; SUN Yujin; DONG Xianshu; GONG Peiwen

doi:10.11799/ce202601025

Abstract：As the mineral processing industry transitions towards intelligence and efficiency,fuzzy control technology has become a core research direction for technological advancement in this field due to its superior ability to handle nonlinear,multivariate,and uncertain systems.To understand the research progress in the application of fuzzy control technology in the mineral processing industry,we focus on analyzing its practical effectiveness in key processes such as grinding and classification,flotation,and dense medium separation.Research shows that multivariate fuzzy control systems effectively alleviate coupling issues between variables through methods such as decoupling modeling,"dual-input single-output"design,and fuzzy neural networks.The integration with neural networks(e.g.,fuzzy"feedforward-feedback"strategies,fuzzy neural network controllers)significantly improves control accuracy and robustness.Composite control technologies(e.g.,fuzzy PID,PLC integration)optimize system adaptability,addressing bottlenecks such as fixed parameters and strong hysteresis in traditional industrial control.Furthermore,the application of intelligent algorithms(e.g.,weighted WM algorithm,case-based reasoning combined with RBF networks)in fuzzy rule extraction,as well as improvements in system stability through techniques such as variable universe control,sliding windows,and APSO algorithms,further enhance the engineering applicability of fuzzy control.In the future,fuzzy control systems will be fully integrated with the entire mineral processing workflow,including flotation,gravity separation,and magnetic separation,assisting the intelligent and high-efficiency development of the mineral processing industry.