Research On Intelligent Algorithm Of Tantalum Decomposition Reaction

Tantalum is rare and precious metals. Based on its high density, high melting point, corrosion resistance, excellent high temperature strength and good workability characteristics, Tantalum are widely used in electronics, chemicals, aerospace, superconductive, weapons and equipment, and other fields. Wet metallurgy is one of the main methods of tantalum smelting. But in production, Wet metallurgy still relies on manual operation which is not only high labor intensity and low productivity, but also exist security risks. Based on artificial intelligence and modern computer technology, intelligent control is the important way to improve the level of production technology. This paper aims to study intelligent control theory and the process of tantalum decomposition, and propose an effective response intelligent balancing scheme.The paper studies the principles and characteristics of three intelligent control theory, including Fuzzy Control, artificial Neural Networks and Adaptive Neural Fuzzy Inference System (ANFIS). Furthermore, the paper proposed balancing algorithm based on ANFIS and realized intelligent analysis and decision system of the tantalum decomposition reaction. The main contents and innovations are as follows:Firstly, with the analysis of a large number of historical production data and experience, the paper summarized the system prototype and proposed an intelligent balancing algorithm based on ANFIS. The algorithm is divided into two parts:the intelligent modeling algorithm and intelligent analysis and decision algorithm. Intelligent modeling algorithm can use of their ability to learn to build intelligent model with historical data and artificial experience; Intelligent analysis and decision algorithm can analysis real-time production data and make decision based on the model has been established. Furthermore, hit ratio and smooth factor are also defined to measure the control effect. Experimental results show that the proposed method not only can achieve good stability and accuracy, but also has better robustness.Secondly, the paper designs and implements the intelligent analysis and decision system of tantalum decomposition reaction. This system can build intelligent models based on historical production data and use the models to realize intelligent decisions with computing the real-time data. On the other hand, the system realizes the real-time monitoring and can analysis historical production data using multi-dimensional method.