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In this work, several standard tools such as Simulink R /Simulink R, OPC toolbox, RSLogix 5000, and FactoryTalk R are integrated to simulate a control strategy for a SAG mill designed to keep the ...
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Precise control of SAG mill loading and flotation cell level is critical to maximize production and recovery in mineral concentrators. While expert systems are commonly used to optimize these process operations, the underlying regulatory control is often implemented using traditional proportional-integral ...
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With our SAG mill running at 65.4% critical speed (mill @ 8.7 RPM), the SER motor speed reference is 850 RPM or 85% of 1000 RPM. We are recovering approximately 1.2 MW of slip energy; the power ...
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SAG mill: A PI controller of the SAG mill is applied to keep the mill load level and adjust the fresh feed rate accordingly. The SAG mill model is validated using a full-scale SAG mill; for details, see Appendix A. Others: Ideal screens and splitters are used to evenly distribute the recycling load between the two mills. 3. Results
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From the basics of SAG mills to the different types of SAG mill designs, components, and their functions, you'll find all the information you need to optimize your SAG mill performance. ... The mill weight is measured by load cells or a strain gauge, and the controller adjusts the feed rate accordingly. SAG mills can be operated in open or ...
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SAG mill control fundamentally means managing the load in the mill by adjusting the …
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An automated control system for your SAG Mill. To monitor and respond to critical impacts and changing conditions such as liner wear and ore variation, ECS/ ProcessExpert uses LoadIQ which is a self-powered smart sensor attached to the mill shell. Conditions inside your mill are automatically adjusted to minimise liner damage, stabilise and ...
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An industrial example of its use is for the problem of SAG mill feed rate control, shown …
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The basis of a supervisory fuzzy expert controller for SAG mill circuits is presented, coded in Matlab using Mamdani method and able to connect to plant lower level control system. ABSTRACT Successful control of Semi-Autogenous Grinding (SAG) mill circuits has been the subject of many researches and main concern of plant operators …
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2.4. Multivariable predictive control. In the present work, a three-input-three-output scheme of control was performed. The total water feed to the mill (the feed water flow rate was added to the dilution water flow rate, so they could be specified separately, but for the SAG mill model, the total water content was the variable of interest), the …
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(EGL) SAG mill driven by a 24,000 kW gearless drive. The SAG mill feeds two FL ball mills each 26 ft. in diameter × 40 ft. long (EGL), each driven by a 16,400 kW drive. The SAG mill is one of the largest volumetric capacity SAG mills in the world and represented the first 40 ft. SAG mill in Peru (Garcia & Villanueva, 2013 [1]).
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and the broader holistic approach to mill control are discussed. The ROM SAG mill circuit—a brief description The typical ROM SAG mill circuit is depicted in Figure 1. The circuit is usually closed with either a screen or, more commonly, a cyclone for product size classification. The focus of control can be divided into two parts, viz. the
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SAG mill control fundamentally means managing the load in the mill by adjusting the feed rate of ore to the mill and/or manipulating the rotational speed of the mill. The best way to measure load is to mount the mill on load cells. The load cells are calibrated to measure the total weight of water, grinding media (balls) and ore in the mill ...
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Model Predictive Control for SAG and Ball Mill Control Real-time optimization based on a model predictive controller is considered a better approach to SAG and ball mill control. inputs, and to solve for the best set of control actions on a …
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2. Background. The SAG grinding process has been modeled by various authors, either generating explanatory models of the grinding process, with the aim of modeling, simulating, and optimizing the individual process, as well as integrating it into aggregate processes, such as the mine-to-mill (M2M) paradigm, a practice that has …
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To determine if a SAG mill is operating within the generally established guidelines for a large diameter to length ratio SAG mill, the mill performance can be modeled mathematically. A generalized SAG mill power draw equation developed by Austin, is given by: where the parameters used in the model are defined as: mp= net …
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Evolution of SAG mill process control at the Xstrata Nickel Raglan Operation. In: Paper #28 presented at the 40th Annual Meeting of the Canadian Mineral Processors, Jan 22–24, 2008, Ottawa, ON, Canada, pp. 445–464. Google Scholar. and Craig, 2007. M. , I.K. Craig. Economic assessment of advanced process …
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of one FL 40 ft. diameter × 22 ft. long (EGL) SAG mill driven by a 24,000 kW …
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A plant-scale validated MATLAB-based fuzzy expert system to control SAG mill circuits. 2018, Journal of Process Control. Citation Excerpt : Proposed controller has five input variables (bearing pressure, ore size, recirculation, power draw and density) and three output variables (mill feed flow rate, water flow rate and mill speed). Paper ...
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SAG Mill process control classically maintains the SAG mill volumetric filling within a set operating range. Typically a SAG mill weight measurement, by either bearing pressure transducers or load cells, is used as an inferred measurement of volumetric filling. To maintain volumetric filling within a set operating range the SAG weight setpoint use for …
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Control. And profit. BrainWave SAG mill is a unique control package using patented model-based predictive adaptive control technology. It is well known within the mining industry that effective grinding in a SAG mill depends largely on the loading of the mill. A mill con - taining too much material does not allow for
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This article presents the basis of a supervisory fuzzy expert controller for semi-autogenous grinding mill circuits. Stable feeding regimen to the mill, enhanced throughout, energy saving and ...
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A supervisory fuzzy expert controller is proposed to automatic control of SAG mill. • Proposed controller is installed and verified in an industrial SAG mill circuit. • Off-line and On-line tests are conducted to evaluate the performance of the controller. • Results showed increase in mill throughput and decrease in feeding fluctuations. •
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SAG Mill Control Strategy using Profit Controller "ProfitSAG" applications have been implemented using Honeywell technology called "Profit ControllerTM"; this is a Multivariable Predictive Control algorithm based on models, also known as RMPCT (Robust Multivariable Predictive Control Technology). As its name points out, this …
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REAL-TIME SIMULATION AND CONTROL OF A SAG MILL The open source Matlab/Simulink R© simulation platform, a.k.a. the comminution toolbox, was developed at Univer- sidad de Concepcio´n in Chile and previously presented by Sbarbaro [2010]. The simulated model used in the case study is a SAG mill open circuit …
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An automated control system for your SAG Mill. To monitor and respond to critical …
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Considering the continuous increase in production costs and resource optimization, more than a strategic objective has become imperative in the copper mining industry. In the search to improve the efficiency in the use of resources, the present work develops models of a semi-autogenous grinding (SAG) mill using statistical analysis …
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Experiences and Lessons with Advanced Control Systems for the SAG Mill Control in Minera Los Pelambres Daniel A. Silva*, Luis A. Tapia** *Senior Control Eng., Automation Department, Minera Los Pelambres, Choapa, Chile (4001 Apoquindo Ave., 18th Floor, Santiago, tel.: +56-2-7983609; e-mail: [email protected]).. …
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As an example, the authors present the use of reinforcement learning for the control of a SAG mill closed with a pebble crusher using industrial data from an operation. A comparison with advanced ...
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