multivariable controller for sag mill

(PDF) Robust control of a SAG mill | manuel villon ...

H l -controller design for SAG millThe first step in the design of a robust controller for the SAG mill involves obtaining linear dynamic models (expressed as transfer functions) for the impact of the manipulated variable (i.e. feed flowrate) and the disturbance (i.e. the F 80 parameter) on the variable to be controlled (i.e. the SAG mill power ...

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Robust control of a SAG mill | Request PDF

In the last decades approaches varying from decentralized PID control to multivariable predictive control have been applied to control of SAG mills with variable success; at …

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Model predictive control of semiautogenous mills (sag ...

The present manuscript focuses on the development of a multivariable control based on the MPC strategy for a semiautogenous grinding (SAG) device. A previously published specific SAG model that uses a deep analysis of the internal device behavior was …

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Welcome to Manta Controls - Manta Controls

The Manta Cube system is available for SAG Mill Control, AG Mill Control, Ball Mill Control, Flotation Circuit Control, Thickener Control, CCD Control. Other process units are also available. Contact us for more information by e-mailing any questions to This email address is being protected from spambots.

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Sag Mill Control - Welcome to Manta Controls

1. The SAG mill speed (rpm) 2. The SAG mill power (MW) 3. The SAG mill feed rate (tph) 4. The SAG mill weight (tonnes) Figure 10. The performance of Train 1 SAG Mill - before the new Manta Cube. It can be seen from this set of operational data that the mill weight varies over a wide range and this is consistent with normal operator control of a ...

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MILLING CONTROL & OPTIMISATION - Mintek

specifically for controlling milling circuits, with the following advanced features: • Fully fledged multivariable controller that can efficiently eliminate interaction between variables. • Explicitly handles limits on input and output variables to ensure all variables are kept within their allowed operating range.

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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 ... multivariable processes) DCS / Control System (basic I/O with field devices, limits and alarms, PID control) Figure 1 – Illustration of the comprehensive plant automation strategy .

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multivariable controller for sag mill

multivariable controller for sag mill ranging from regulatory control through to advanced multivariable control The Manta Cube system is available for SAG Mill Control AG Mill Control Ball Mill . Get Price. ag sag milling control grinding mill china.

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Multivariable controller design for a hot rolling mill ...

Multivariable controller design for a hot rolling mill Abstract: This paper describes a controller design for a hot rolling mill. The main purpose of the algorithm is to improve the control of the cross-width thickness profile of the plates.

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Multivariable control of a hot strip finishing mill | IEEE ...

Abstract: The application of a multivariable regulator to a hot strip finishing mill is considered. The need for multivariable control is due to the interactions between the strip thickness, tension and the angle of the looper arm. A much improved performance was obtained by designing a controller which takes account of the interactions effectively which a …

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1multivariable controller for sag mill - saxifrage.be

Robust Multivariable Predictive Control Strategy on … Care for SAG mill power constraint not to be exceeded. Care for pebbles produced not to exceeded limit. Manipulated variables · Fresh Feed (MV1): This variable has a fundamental impact on the control of the SAG mill circuit.

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multivariable control systems airswept ball mill

multivariable controller for sag mill - primavision.co.za. 24 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 …

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Multivariable Model Predictive Control of a Simulated SAG ...

Abstract This work presents the dynamic simulation and a multivariable predictive control strategy for a semi-autogenous grinding (SAG) plant. Models for SAG Mill, crusher and hidrocyclones have been integrated to simulate a SAG circuit. Data obtained from an industrial cooper concentrator has been used to estimate the main parameters of the dynamical models.

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Model Predictive Control for an Industrial SAG Mill ...

SAG mills are the primary units in a grinding chain and also the most power consuming units. Therefore, improved control of SAG mills has the potential to signicantly improve eciency and reduce the specic energy consumption for mineral processes. Grinding circuits involving SAG mills are multivariate processes.

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Robust Multivariable Predictive Control Strategy on SAG ...

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).

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1multivariable controller for sag mill

Multivariable Control Systems Electrical Engineering and . ... 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 ...

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The Non-Linear adaptation of a Multi-Variable Predictive ...

SmartGrind TM controller is a marriage of multivariable predictive control (MPC) with techniques that provide ... Controlling a SAG mill is a non-linear problem near capacity constraints. Designing a controller that addresses the above issues can be split into 2 groups.

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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.

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sag mill model system fuzzy neuro - timmerbedrijfbprins.nl

Fuzzy Logic Control On a SAG Mill ScienceDirect Jan 01, 2013· The SAG mill stability had to be improved and throughput increased. The process is multivariable, strongly non-linear, and before implementing this system, the operators were actively manipulating many variables with varying success depending on operator experience and occurring disturbances.

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Maximising grinding mill efficiency with neural networks ...

Using multivariable control and multivariable predictive control. ... Grinding mills such as SAG mills experience power excursion or spillage typically at high throughputs or due to ... By using neural networks and multivariable predictive control schemes, these mills can grind ore to a smaller range of sizes and reduce their overall power ...

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1multivariable controller for sag mill

By combining with SAG discharge and screening on the SAG discharge screens, top size control to the ball-mill circuit feed is maintained while still unloading the SAG circuit (Mosher et al, 2006). A variant of this method is to direct pebble-crushing circuit product to the ball-mill sump for secondary milling: while convenient, this has the disadvantage of not controlling the top size …

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EXPERIENCES AND PROJECTIONS ON SAG MILL MULTIVARIABLE ...

SAG mills are highly complex, multivariable nonlinear processes, which expose operators to a challenging task, usually aimed to maximize throughput, as well as keeping a safe and continuous

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Optimal Speed Control for a Semi-Autogenous Mill Based on ...

In a SAG mill, the speed control system is a nonlinear and strongly coupled multivariable system. The proportional integral (PI) vector control method is used in the mill control system [ 13 ]. The PI vector control method cannot meet the requirements of high-performance control when the mill speed control system is subjected to external disturbance.

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Robust control of a SAG mill | Semantic Scholar

DOI: 10.1016/S0032-5910(02)00021-9 Corpus ID: 110339308; Robust control of a SAG mill @article{Galan2002RobustCO, title={Robust control of a SAG mill}, author={Omar Galan and Geoffrey W. Barton and Jos{'e} A. Romagnoli}, journal={Powder Technology}, year={2002}, volume={124}, pages={264-271} }

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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).

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multivariable controller for sag mill

MILLING CONTROL & OPTIMISATION. MILLING CONTROL & OPTIMISATION, Figures 8 and 9 on the right show results from a gold plant's SAG …

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