| China’s hematite ore resources are abundant, but their grade is quite low and has great difficulty in ore separation, for which the magnetic separation is one of the most popular means. The magnetic separation process undertakes the chief task of separating the qualified-granularity ore slurry well grinded by the ore grinding section into standard-grade concentrated ore pulp and tailing ore slurry, through the action of the magnetic separator.In the megnetic separation process, both Concentrated grade and Tailing grade are difficult to be measured online. While they expose certain relationship with the rinsing water, the excitation current, and the ore-feeding density, it is unrealizable to describe this relationship by exact mathematical models due to strong coupling and nonlinear characteristics exist in it. Furthermore, this relation ship is variable with the fluctuations of the grade, the particle size, the separability, or the quantity of the fed-ore. Especially, the Concentrated grade and. theTailing grade in the magnetic process are key indices that examining the quality and the metal recovery ratio of the final product, It has a great significance to control Concentrate grade andTailing grade within the target range.Under this background, and supported by the National basic research project973Program "based on integration control software technologies having security, inter-operability, ease characteristics" of Northeastern University’s Process Industry Integrated Automation state Key Laboratory. This paper designed and developed Hybrid intelligent optimizing control software for High-Intensity Magnetic Separating Process which the based on optimizing control algorithm and control software of high intensity magnetic separating process is studied further in this paper.The main research working of this paper is concluded as follows:(1) The proposed setting layer in the intelligent optimizing control method that adds a grade prediction model is comprised of a pre-setting model (for roughing rinsing water flow, one sweep rinsing water flow, two sweep rinsing water flow, rough excitation current, sweep the excitation current and ore-feeding density), a grade prediction model, a feedforward compensator and a feedback compensator. Realized the automatic control on hematite intensity magnetic separating process through the closed-loop control structure of pre-settings-grade prediction-correction compensation-control loop, so as to ensure the real value of the Concentrate grade and Tailings grade are controlled to the acceptable ranges of their target values.(2) The overall structure and function of the hybrid intelligent control software for the high intensity magnetic separation process are designed, which includs structure design, functional design, algorithm module design, interface design, and data communications design. The structure of the hybrid intelligent control software is comprised of presentation layer, logic layer and data layer. The function modules mostly includes communication module, working conditions recognitting module, control module, configuration module and off-design module.(3) Developed optimal control software of the high intensity magnetic separating process operating. Optimal settings module, grade prediction module, feedback module and feedforward module’s algorithms are compiled by MATLAB. The algorithm is packaged, whose input and output variables were embedded in the operating optimal control software. The software not only made the module become configuration, but also showing real-time data, trends, database and many kinds of information of high intensity magnetic separating process, and has simple and easy functions of the left and right buttons. So an effective operating control software is provided for scientific research workers, whose job is relation to mineral separation. |
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