To solve these problems, Santos proposed a fuzzy controller based on two single-loop controls as early as 1995. One circuit controls the underflow concentration by adjusting the underflow pump speed, and the other adjusts the overflow turbidity by adjusting the flocculant addition amount, but the interaction between the two single circuits is not mentioned. In 2011, Segovia proposed a multi-input single-output (MISO) fuzzy controller that controls the mud bed height and underflow concentration by adjusting the underflow pump speed. Unfortunately, the effect of flocculant addition on the process is not considered. On the other hand, with the mathematical model of continuous settlement partial differentials proposed by Bürger et al., many advanced control strategies for concentration processes based on this model began to emerge. Diehl proposed a proportional controller that adjusts the underflow pump speed based on the internal storage of the thickener based on the model under ideal conditions. The goal is to maintain the stability of the ore in the thickener. Betancourt uses the model's calculated feed attribute coefficient to dynamically adjust the flocculant addition concentration to control the mud bed height. However, since the above model-based strategies are model coefficients calculated under the assumption that the system is in a stable state and there is no overload, their use in the actual control process is limited. In China, with the development of PLC Program Logic Controller and the maturity of industrial process automation control applications, the production process control of thickeners has begun to develop in the direction of automation and intelligence. Haibo for hematite magnetic separation - densely - flotation concentration of the thickener underflow slurry is affected by the random interference ore slurry, the flow rate set by the proposed control and tracking slurry composition flow rate setpoint concentration and flow rate on the interval The closed-loop control is proposed, and the flow setting intelligent switching control method based on static model-based flow pre-setting, fuzzy inference flow setting compensation, flow setting holder and rule inference switching mechanism is proposed.耿 Zengxian uses the Fuzzy-PID hybrid control strategy to control the underflow concentration of the thickener. A switching mechanism based on the error statistical characteristics is designed. According to the multiple statistical values ​​of the current concentration deviation, it is judged whether switching between PID control and fuzzy control is needed. Yao Qian adjusts the concentration of the slurry by adjusting the speed of the underflow slurry pump to control the discharge speed of the slurry, and combines PID and fuzzy control to control. The actual Miutian Yu et Dexing copper ore industrial field, to achieve a thickener underflow automatic flow control, automatic control of soil layers. Dewatering is achieved with a polyvalent metal and water efficient recovery process. The measuring instruments such as material flow, slurry concentration and pumping level required by the process also have mature solutions; on this basis, through the integration of thickeners, ceramic filters, filter presses and other major equipment operation information, The concentration process is interlocked and protected. The basic control loop of the concentrated dehydration process mainly includes automatic preparation of flocculant and proportional addition control, constant concentration of constant flow or constant flow control of the thickener. The control loop uses a ray concentration meter or an electromagnetic flowmeter as a detection instrument, and executes the inverter or the regulating valve. Institutions usually use single-variable single-loop control to achieve closed-loop control. In order to optimize the control index, the concentration of the underflow slurry of the thickener in the magnetic separation-dense-flotation process of the domestic universities is affected by the random disturbance of the medium ore slurry. A double closed-loop control of slurry concentration and flow interval consisting of flow setting and tracking flow setpoint control is proposed. Flow thresholding based on static model, flow setting compensation for fuzzy reasoning, flow setting holder and The flow control intelligent switching control method consisting of the switching mechanism of rule reasoning; there is also a report that combines fuzzy control with PID control to achieve constant control of thickener underflow. We also have other glass centerpieces,glass ornaments for your selection. Glass Citrus Juicer,Clear Glass Juicer,Colored Glass Juicer,Lavender Glass Juicer Hebei Better Refined Gift And Craft Co., Ltd. , https://www.brglasswares.com
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Dense process control and optimization of mineral processing automation
The dense process control mainly focuses on the safe operation of the thickener and the optimal control of the bottom stream concentration and flow of the thickener. Due to the nonlinearity, large lag, high degree of coupling between variables and frequent disturbances from outside, the automatic control level of the concentrated production process has been low, especially the underflow concentration fluctuations frequently, which is the continuous and stable production of downstream processes. It has caused troubles, and production accidents such as “running†or “crushing†have occurred.