An intelligent optimal setting control IOSC approach is developed for a typical two stage GC so as to optimize the production indices by auto adjusting on line the setpoints of the control loops in response to the changes in boundary conditions During the operation of a grinding circuit GC in mineral processing plant the main purpose of control and optimal
The complexity of the whole grinding circuit will dramatically increase once we start to connect different unit models into a grinding circuit and when wet grinding is considered Any closed loop control even with simple PID control will complicate the models further It is clear that a powerful nonlinear Grinding circuit simulation examples
This work investigates the design and application of fractional order SISO controllers to a grinding mill circuit which is a MIMO process Thus the control techniques preserve their simplicity in terms of SISO control but are also capable of improving the robustness by means of the fractional operators in the presence of disturbances parameter
DOI / Corpus ID 119462965; Disturbance observer based multi variable control of ball mill grinding circuits article{Chen2009DisturbanceOB title={Disturbance observer based multi variable control of ball mill grinding circuits} author={Xisong Chen and Jun Yang and Shihua Li and Qi Li} journal={Journal of Process
In recent years metal producing companies have increased their investment in automation and technological innovation embracing new opportunities to enable transformational change Transformation to a digital plant can fundamentally revolutionize how industrial complexes operate The abundant and growing quantity of real time data and events collected
The present study considers mainly the third optimization level the selection of the optimal set points of the controller However to illustrate the method on a simulated grinding circuit the fourth level optimal control will be also simulated although this is not the primary objective of the study
The control architecture aims to achieve independent control of circuit throughput and product quality and consists of a non linear model predictive controller for grinding mill circuit control
DOI / Corpus ID 111367837; Application of model predictive control in ball mill grinding circuit article{Chen2007ApplicationOM title={Application of model predictive control in ball mill grinding circuit} author={Xisong Chen and Jun Zhai and Shihua Li and Qi Li} journal={Minerals Engineering} year={2007} volume={20} pages={1099 1108}
Whereas Wei and Craig 2009 identified the users of grinding control systems and cited the qualitative benefits of such systems the present article goes one step further compiling quantitative data for such benefits It is the first time that a compilation of this sort is made Metallurgists and process engineers interested in implementing control systems will find
During these step changes the feed rate to the circuit was 136 kg/h the circulating load 545 kg/h the sump water rate 900 kg/h and the product size 70% passing 44 pm Optimal control of a ball mill grinding circuit II 873 Feedback control The first task in this type of control application is the pairing of controlled and manipulated variables
DOI /0009 2509 91 80194 4 Corpus ID 110530939; Optimal control of a ball mill grinding circuit—II Feedback and optimal control article{Rajamani1991OptimalCO title={Optimal control of a ball mill grinding circuit—II
In this paper disturbance observer DOB which is widely used in motion control applications is introduced to estimate the disturbances in grinding circuit A compound control scheme consisting of a feedforward compensation part based on DOB and a feedback regulation part based on MPC DOB MPC is thus developed
During the operation of a grinding circuit GC in mineral processing plant the main purpose of control and optimal operation is to control the product quality index namely the product particle size into its technically desired ranges Moreover the grinding production rate needs to be maximized However due to the complex dynamic characteristics between the
Hence a close control of grinding circuits is extremely important in order to save energy losses and to improve the efficiency of downstream processing Many research papers have been published on the development of control strategies for grinding circuits [1 5] Controlling the performance of a closed circuit ball mill is a challenging
A survey of grinding circuit control methods from decentralized PID controllers to multivariable predictive controllers Powder Technology 108 103115 2000 M Ramasamy S S Narayanan and Ch D P Rao Control of ball mill grinding circuit using model predictive control scheme Journal of Process Control 15 3 273 283 2005
DOI /0009 2509 91 80194 4 Corpus ID 110530939; Optimal control of a ball mill grinding circuit—II Feedback and optimal control article{Rajamani1991OptimalCO title={Optimal control of a ball mill grinding circuit—II
Grinding circuit control objectives range from maintaining system stability to achieving maximum economic benefit The assessment of the economic performance of control systems is receiving increasing attention and a relevant framework which provides a systematic procedure for the economic assessment of process control was proposed in Bauer
Perturbations in the ore discharge of a grinding mill affects directly the classification in hydrocyclones and deviates the grinding classification circuit from its optimal operating point Operational variables including the particle size size distribution and volume fraction of solids in the feed should be subjected to control
The article suggests an interactive method for material grinding circuit control in semi automatic mills The control system is most importantly concerned with ensuring a stable feed mode and energy saving Control is based on neural network training by an experienced mill operator who effectively controls the grinding process The article proposes an interactive computational
The objective of this paper is to study the performances of various control algorithms acting on a grinding circuit in face of different disturbances and setpoint changes Even though numerous articles 1 2 3 have studied this control problem it is hard to compare the results since the benchmarks are different
The laboratory grinding circuit consists of an overflow type ball mill 30 cm × 30 cm a sump fitted with a variable speed pump and a hydrocyclone classifier 30 mm The schematic diagram of the circuit is shown in Fig are two local controllers that form part of the process Sump level is maintained constant by a variable speed pump and the percent
Handling the Grinding Circuit IF YOU FIND IT MEANS YOU SHOULD #1 Ball Mill Feed Finer Mill will grind faster classifier overflow will thicken and get coarser Increase classifier water to raise circulating load; perhaps raise mill feed Coarser Mill will grind slower classifier overflow will thin out get finer If fed too fast a
the grinding circuit First a short introduction to the grinding process and control purposes are given followed by five key reasons for measuring density The grinding circuit In general the grinding circuit is composed of a powdering or pulverizing process and a classification process In most sites a ball mill is
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