Robust control of a SAG mill | Request PDF

In order to improve the control of SAG mills, several modeling approaches have been developed (Amestica et al., 1996; Galán et al., 2002; ...

SAG Mill Optimization using Model Predictive Control …

Control of -SemiAutogenous Grinding(SAG) mill weight is an example of an important process that exhibits many of these aspects. Maintaining the SAG mill weight at the optimum value is critical for achieving maximum grind rate efficiency and mill production (Powell, M.S., van der Westhuizen, A.P., & Mainza, A.N. 2009).

A plant-scale validated MATLAB-based fuzzy expert system to control SAG …

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 ...

Real-Time Simulation and Control of a SAG Mill

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 ...

Supervisory Fuzzy Expert Controller for Sag Mill Grinding …

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 …

A plant-scale validated MATLAB-based fuzzy expert system to control SAG

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. •

Robust control of a SAG mill

Fig. 3 compares the regulatory response of two robust SAG mill controllers to a number of step changes in the disturbance variable F 80.At t=5 h, F 80 was stepped up from 61.5 to 63.3 mm (i.e. the feed particle size distribution was increased), while at t=36 h, F 80 was stepped down from 63.3 to 57.7 mm (i.e. the feed particle size distribution was …

Process optimisation for your SAG Mill

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 ...

Process optimisation for your SAG Mill

An automated control system for your SAG Mill. To monitor and respond to critical …

Model predictive control of semiautogenous mills (sag)

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 …

The future of SAG mills

SAG mills are well established in the mining industry with several possible flowsheets featuring them. But these circuits consume significant amounts of energy and water. ... "A subpar control system could lead to an up to 20% efficiency loss by failing to meet throughput or grind targets," noted Rajiv Chandramohan, global technical ...

Model predictive control of semiautogenous mills (sag)

The results indicate that the methodology allows the design of 2 × 2 and 3 × 3 decentralized control structures for the SAG mill and SX plant, respectively, which exhibit good performance ...

Understanding the SAG Mill in Copper Ore Mining Process

Taking care of a SAG mill through proper maintenance and repair is vital for long-term reliability and efficiency in copper ore mining operations. Real-life Examples of SAG Mills in Copper Ore Mining. SAG mills have been a critical component in the copper ore mining process for many years.

Autogenous Grinding & Semi Autogenous Grinding …

An autogenous circuit is difficult to control final grind. Autogenous plus crusher. This circuit was difficult to control and resulted in low tonnage. ... Semi-autogenous plus ball mill has been the "work horse" of mills. SAG vs Ball Mill Advantages . AG & SAG Mill Grinding Compared – Which is Best. Grinding rods and balls can be …

Materials | Free Full-Text | Optimization of the SAG Grinding …

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 …

SAG Mill Control: It Shouldn't be that Hard

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 ...

'SER' – Slip Energy Recovery Grinding Mill Speed Control

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 ...

Fuzzy Logic Control On a SAG Mill

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 ...

Minerals | Free Full-Text | Investigating Dynamic Behavior in SAG Mill …

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

AG & SAG Mill Grinding Circuit Automatic Control

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 …

(PDF) Supervisory Fuzzy Expert Controller for SAG Mill …

Additional applications of machine learning to SAG modeling put the focus on the control of SAG grinding mill circuits, predicting power consumption [90,91], one of the main concerns of plant ...

SAG Mill Control: It Shouldn't be that Hard

SAG mill control fundamentally means managing the load in the mill by adjusting the …

Experiences and Lessons with Advanced Control Systems for the SAG Mill

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]).. …

BrainWave: Control solutions for SAG mills

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

Me-Elecmetal: Optimización y Diagnóstico de Molienda SAG …

The SAG Digital Twin is a comprehensive diagnostic, analysis, control, and operational optimization tool. It mirrors the operational state of the SAG mill, providing insights and recommendations for adjustments that enhance stability and …

Integrated advanced process control with a sag mill …

(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]).

Model Predictive Control

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 …

Control SAG Mill sound detection

Through continuous improvement and the use of advanced technologies like SmartEar™, Pueblo Viejo are improving the control and operation of their SAG mill, resulting in reduced liner wear, more efficiency.Volume Title: 12th Mill Operators' Conference 2014 Semi-autogenous grinding (SAG) mill co

How to Control a SAG Grinding Mill Circuit

Autogenous and semi-autogenous grinding have experienced renewed interest as efforts to reduce operating and capital costs have increased. As a result, the mill operator is faced with new equipment perhaps ten times as large as was common in the sixties and new circuit designs with different operating characteristics.

Supervisory Fuzzy Expert Controller for Sag Mill Grinding …

Successful control of Semi-Autogenous Grinding (SAG) mill circuits has been the subject of many researches and main concern of plant operators for years. Distributed Control Systems (DCS) have had some degree of success in the mineral processing circuits, but maintaining operation of a SAG mill on the "edge" of its full …