multivariable controller for sag mill

SAG Mill Control: It Shouldnt be that Hard

SAG Mill Control: It Shouldn’t be that Hard An economically appealing method for improving operations is available without the capital expense — get more out of a mill by applying the advanced control capabilities in the existing plant control system By Andrew Thornton.

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, MS, van der Westhuizen, AP, & Mainza, AN 2009).

Multivariable control for bar rolling and precision bar

The validity of the multivariable control technique was verified by computer simulation and model mill experimentation This paper describes 1) modeling, 2) control system design, 3) computed results, 4) experimental results and 5) a precision bar rolling system which was practically implemented at the bar mill of Muroran Works, Nippon Steel in.

Model Predictive Control of SAG Mills and Flotation Circuits

Precise control of SAG mill loading and flotation cell level is critical to maximize production and , to derive a control law for the multivariable case it is preferable to optimize for a cost function such as the one proposed in the generalized predictive control [3], rather , Model Predictive Control of SAG Mills and Flotation Circuits.

Characterization and Modeling of Semi-Autogenous Mill

approaches varying from decentralized PID control to multivariable predictive control have been applied to control of SAG mills with variable success; at the same time, new sensors has been developed with the aim to provide real time measurements of important variables currently unmeasured.

Design and Implementation of Advanced Automatic

"Design and Implementation of Advanced Automatic Control Strategy Based on Dynamic Models for High Capacity SAG Mill" Iván Yutronic (Collahuasi) , • Three SAG Mill lines and produces copper and molybdenum , Roboust Multivariable Predictive Control Technology The Solution: ProfitSAG.

Model predictive control of semiautogenous mills (SAG

The controller response showed a suitable control behavior independent of the noisy multivariable modification Highlights • MIMO control system design based on the MPC strategy for a SAG mill • Control action exhibit an additional effort in the water as manipulated variable.

White paper, June 2015 Advanced process control for

Advanced process control for grinding circuits

Hardness and size distribution are known to SAG mill controllers to a number of step changes in the be correlated—in that a coarse feed is generally the result of disturbance variable F80 At t=5 h, F80 was stepped up from a hard ore, and vice versa.

SAG Mill Control at Northparkes Final

SAG Mill Control at Northparkes Page: 1 mipacau SAG Mill Control at Northparkes Mines (Not So Hard After All) A J Thornton, Principal Process Control Engineer1 Tom Pethybridge, Production Superintendent

Brochure AG/SAG Mills - zenith AG/SAG Mills zenith's AG/SAG mills accomplish the same size reduction work as 2 or 3 stages , finished size ready of processing, or an immediate size for further grinding in a ball mill, pebble mill, , with circuit and circuit control design as well as start-up, operation, , 1484-05-16-ESBL/Sala - English ©2016 zenith.

How to Design of a Multi-Variable Grinding Circuit Control

In this case, the primary grinding stage in a concentrator comprises a rod mill in open circuit and a semi-autogeneous mill in closed, circuit with a hydrocyclone classifier All the measurements have computer interfaces and all the control circuits have been implemented by the process control computer The crushed ore feed to the rod mill is measured by a belt-weigher and controlled by a belt.

Grinding Circuit Controls

MOCCA is a Multivariate (Optimal Constrained Control Algorithm developed specifically for non-square industrial control applications with practical difficulties such as interactions, time delays, constraints, modelling development, etc MOCCA consists of an off-line simulation/translation module, for tuning the control parameters, and an on-line module that implements the designed control law.

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Design and Implementation of Advanced Automatic

"Design and Implementation of Advanced Automatic Control Strategy Based on Dynamic Models for High Capacity SAG Mill" Iván Yutronic (Collahuasi) , • Three SAG Mill lines and produces copper and molybdenum , Roboust Multivariable Predictive Control Technology The Solution: ProfitSAG.

Advanced Control for Mineral Processing: Better Than

Jan 01, 2008· Results of the multivariable predictive control applications in mineral processing are discussed, and in particular the application to the SAG mill In addition, an example of the benefits improvement that can be achieved with this technology is presentedINTRODUCTIONThere has been a long term perception in the mainstream mineral processing.

Model Predictive Control for SAG Milling in Minerals

Model Predictive Control for SAG Milling in Minerals Processing

Model Predictive Control for an Industrial SAG Mill Valeriu Ohan; Florian Steinke Michael Metzger Thomas Runkler John Bagterp J˝rgensen DTU Informatics Technical University of Denmark, 2800 Kgs Lyngby, Denmark.

Multivariable Controller For Sag Mill

Control of a grinding mill circuit using fractional order Control of a grinding mill circuit using fractional order controllers In general, multivariate control techniques are used to solve this issue, such The circuit consists of a semiautogenous (SAG) mill with an end-discharge grate, a.

White paper, June 2015 Advanced process control for

Advanced process control for grinding circuits

adequately control the mill; resulting in poor stability, frequent operator interventions and less than optimum performance This paper describes the successful integration of advanced field systems such as mill feed image analysis (Wipfrag) and crusher gap controller (ASRi), into a multi-variable fuzzy logic SAG mill controller.

Model Predictive Control for an Industrial SAG Mill

Model Predictive Control for an Industrial SAG Mill Valeriu Ohan; Florian Steinke Michael Metzger Thomas Runkler John Bagterp J˝rgensen DTU Informatics Technical University of Denmark, 2800 Kgs Lyngby, Denmark.

sag mill weight and parts

SAG Mill - Semi-Autogenous Grinding Mill A line drawing of the Fort Knox SAG mill liner configuration and spare liners awaiting installation Five and one quarter inch steel grinding balls - cannon balls - occupy 8% of the mill volume and are consumed in the grinding action at.