Information Fusion and Expert Control of Mineral Feeding System

Abstract

The grinding process in concentration plants is very important. A mineral feeding control system is designed with information fusion method and expert control strategy. The paper puts emphasis on the reliable information acquisition, and the mineral feeding expert control strategy. Firstly, based on multi-source information fusion, the precise process data is acquired and the stable status of the device is monitored. Through analysis and synthesis of the data from a variety of sensors, the measurement accuracy is improved, confidence is increased, fault tolerance is enhanced, and the best status estimate of the test objects and their properties is achieved. Secondly, the proposed new combination formula uses the distance among evidences to find the trustworthiness, to correct the evidence sources, and adds up the value of the basic belief of the unknown elements. It uses both the multiplicative and additive operators, comprehensively considers the issue of convergence concentration and conflict redistribution. At last, based on the accurate process data and reliable status of the object, Expert PID control strategy is used, which realizes stable mineral feeding quantity control. The application of information fusion raises the measurement accurate process values or status in the mineral feeding process and improves the ability of the fault tolerance. The Expert PID strategy makes the mineral feeding system run more stably and effectively.