Mobile crushing line

Hot selling equipment


multivariable controller for sag mill

multivariable controller for sag mill. 1multivariable controller for 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 ...

Get Price

EXPERIENCES AND PROJECTIONS ON SAG MILL

Keywords: SAG mill, multivariable predictive control (MPC), process control, advanced process control, nonlinear process, dynamic model. INTRODUCTION After initial classical control approaches ...

Get Price

multivariable controller for sag mill -

multivariable controller for sag mill; White paper, September 2015 SmartMill™: Exceed your. a semi-autogenous (SAG) mill AG/SAG mills are often used as the first stage in a two- or multiple-stage grinding process, where the second stage is carried out by , As mentioned, multivariate control in grinding mills is largely absent — despite the complexity of the grinding process, in which feed ...

Get Price

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. • The size reduction percentage control is conducted as a cumbersome task. • MIMO controller correctly handled ...

Get Price

Advanced Controller for Grinding Mills: Results from a ...

Ciprano et al 1989, Rajamani et al 1991). The first successfully implemented multivariable process control (MPC) is described for a SAG mill circuit in a bauxite processing refinery at Wagerup, Australia (Refs: Gopinath, Mathur et al, 1995 and Le Page, Freeman et al 1996, Luse, Mathur et al 1997). The MPC controller presented in this paper is perhaps the first successful implementation of MPC ...

Get Price

1multivariable controller for sag mill

1multivariable controller for sag mill. Design of Ball Grinding Mill Control System Using a Design of Ball Grinding Mill Control System Using a Multivariable Frequency Domain Method. Su Jie;Sun Deli;Zeng Xin (Dept Of Power Engineering,Baoding 071003) This paper introduces the basic theory and design procedure of Reversed-Frame Normalizing(RFN)method This method is applied to mill control ...

Get Price

multivariable controller for sag mill - anversia.be

­ Designing the multivariable controller and programming display of mill-related messages ­ Reviewing all rules and developing monitoring tools ­ Adding the SAG mill's speed control to the fuzzy logic; MANDATE Preliminary work prior to the first visit and on-site work: Review needs and conduct modelling of the "best operator" (Design of.

Get Price

Robust Multivariable Predictive Control Strategy on SAG ...

2009-01-01  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 controller SAG 1 and SAG 2 control strategies,

Get Price

Model predictive control of semiautogenous mills (sag ...

2014-10-01  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 fresh ore feed rate, and the mill rotation speed ...

Get Price

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. • The size reduction percentage control is conducted as a cumbersome task. • MIMO controller correctly handled ...

Get Price

Advanced Controller for Grinding Mills: Results from a ...

Ciprano et al 1989, Rajamani et al 1991). The first successfully implemented multivariable process control (MPC) is described for a SAG mill circuit in a bauxite processing refinery at Wagerup, Australia (Refs: Gopinath, Mathur et al, 1995 and Le Page, Freeman et al 1996, Luse, Mathur et al 1997). The MPC controller presented in this paper is perhaps the first successful implementation of MPC ...

Get Price

multivariable controller for sag mill - 2019eutrackyouth.be

multivariable controller for sag mill_JPE-Journal of Power ElectronicsWeb STATCOM Helps to Guarantee a Stable System B.R. Anderson, B.D. Gemmell, C. Horwill, and D ...

Get Price

1multivariable controller for sag mill

SAG Mill Control: It Shouldn’t be that Hard E MJ. 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 ...

Get Price

Evolution of SAG Mill Process Control at the Xstrata ...

Evolution of SAG Mill Process Control at the Xstrata Nickel Raglan Operation Erik Bartsch1, Chief Engineer Guy Comeau2 ... Unfortunately little thought had been put into integrating all these new ‘toys’ into a multivariable controller which was able to consider all the new information simultaneously. It was time to move beyond single-input, single-output (SISO) control! Which way forward ...

Get Price

Sag Mill Control - 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 ...

Get Price

(PDF) Supervisory Fuzzy Expert Controller for SAG Mill ...

2017-01-23  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

Get Price

Robust Multivariable Predictive Control Strategy on SAG ...

2009-01-01  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 controller SAG 1 and SAG 2 control strategies,

Get Price

1multivariable controller for sag mill

multivariable controller for sag mill Control in the Process Industries IEEE Control . Tension control in a rolling mill for long products Advanced multivariable control exploiting section measuring devices beyond performance and dimensional quality effects allows for a much more compact mill saving more than 100K just in building costs for the plant.

Get Price

1multivariable controller for sag mill

sag mill controller in Mongolia - Crusher Machine For Sale sag mill controller in Mongolia is manufactured from Shanghai Xuanshi,It is the main mineral processing . More; Product News The Worlds Largest Sag Mill - mmesaorg. Outotec presents world's largest SAG mill and a m x 54m 2x85MW SAG Mill, outotec ball mill abb Grinding Mill China The zenith product line, . More; Sag Mill Ore Hard Soft

Get Price

1multivariable controller for sag mill

Evolution of SAG Mill Process Control at the Xstrata . 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. Chat Online ...

Get Price

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). However, SAG mill weight ...

Get Price

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

The SAG mill component of this dynamic model was used to design and test a robust controller whose aim was to maximise feed throughput by maintaining the SAG mill draw power close to its maximum permissible level.The robust control design methodology (all of which is implemented within Matlab based software) was used to design two H l controllers, both of which meet all stability and ...

Get Price

Control Of Grinding Mill Circuits - Minerallurgy

However, there have been numerous documented applications of advanced process control on pilot plants and industrial grinding mill circuits indicating the advantages of advanced process control. Hulbert (1983) used Inverse Nyquist array techniques to design a multivariable controller for a pilot grinding mill circuit. Craig and MacLeod (1996 ...

Get Price

(PDF) Supervisory Fuzzy Expert Controller for SAG Mill ...

2017-01-23  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

Get Price

(PDF) Control of a grinding mill circuit using fractional ...

Control of a grinding mill circuit using fractional order controllers. Download. Related Papers . Neurocontrol of a ball mill grinding circuit using evolutionary reinforcement learning. By Chris Aldrich. On the difficulties of implementing particle size control in particulate processes. By Kari Heiskanen. Multivariable control of grinding plants: A comparative simulation study. By Alejandro ...

Get Price

MILLING CONTROL OPTIMISATION

Figures 8 and 9 on the right show results from a gold plant’s SAG mill achieved with MillStar’s Segregated Ore Feed Controller combined with the Power Optimiser: • The standard deviation of the mill feed control is greatly reduced. • The cyclone feed is more stable, allowing for consistent size separation and feed to downstream processes.

Get Price