About Us

MINEVIK Machinery is a leading and pioneering enterprise with the most advanced international level in R&D, manufacturing and selling of large-scale crushing & screening plants and beneficiation plants.

large-scale crushing & screening plants and beneficiation plants.

All of our equipment have got ISO international quality system certification, European Union CE certification and Russian GOST certification.

  • In central China-Zhengzhou, covering 140 thousand square meters
  • Win-win cooperation and create more value to customers
  • Exported large quantities and high-end mobile crushing plant and milling equipments to Russia, Kazakhstan, Indonesia, Ecuador, South Africa, Nigeria, Turkey more than 100 countries .

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Our Products

AS a leading global manufacturer of crushing and milling equipment, we offer including quarry, aggregate, grinding production and complete stone crushing plant. We also supply individual crushers and mills as well as spare parts of them.

Services

Our goal is to guarantee the excellent operation equipment with high safety for our customers and minimize the downtime of the machine by predictive maintenance. Kefid service and original accessories can be 100% trusted at the time of maintenance.

SERVICE AND SUPPORT

Minevik service and original accessories can be 100% trusted at the time of maintenance.

ACCESSORIES CENTER

striving to enable customers to get the parts in the nearest place.

SALES MARKET

Our sales market is spread all over more than 100 countries and regions

tuning of fuzzy cement mill

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OPTIMAL DESIGN OF A FUZZY LOGIC CONTROLLER FOR

May 18, 2011· The results of the control study indicate that the proposed algorithm can fully prevent the mill from plugging and can control the cement mill circuit more effectively. Keywords: cement mill , fuzzy logic controller , genetic algorithms , optimization , plugging

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Adaptive Fuzzy Logic Controller for Rotary Kiln Control

Adaptive Fuzzy Logic Controller for Rotary Kiln Control Anjana C quality clinker efficiently and to supply it to the cement mill uninterruptedly as per the demand. In this paper, a Fuzzy Logic Controller system is proposed mathematical modeling of the plants and parameter tuning of the controller have to be done before implementing the

More
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Control of a Cement Kiln by Fuzzy Logic Techniques

Aug 01, 1981· A special language -Fuzzy Control Language -facilitating computer programming with the relevant control algorithms is outlined. Based on expe­rience gained through fuzzy control on an actual cement kiln it is concluded that fuzzy control is a practicable and ef­fective way of increasing the level of coordinative control on industrial processes.

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Simulation of grey prediction fuzzy control in mill system

The fuzzy adaptive PID controller combines fuzzy self-adjusting PID control with fuzzy rough-tuning mechanism. The operation result shows that it is quite suitable for the control of mill and a

More
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Research On Fuzzy Pid Control System Of Temperatuer For

Effects of Waste Heat Power Generation on Rotary Kiln and Mill System. Cement, Vol.5,May,2009,pp27-28. Both the simulated and tested results show that introduction of the fuzzy sell-tuning PID

More
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Tutorial On Fuzzy Logic UVic.ca

A fuzzy controller, in a cement plant for example, aims to mimic the operator’s terms by meansoffuzzylogic. Toillustrate, considerthetankinFig. 1, whichisforfeedingacement mill such that the feed flow is more or less constant. The simplified design in the figure consists of a tank, two level sensors, and a magnetic valve.

More
[randpic]

OPTIMAL DESIGN OF A FUZZY LOGIC CONTROLLER FOR CONTROL OF

May 18, 2011· The results of the control study indicate that the proposed algorithm can fully prevent the mill from plugging and can control the cement mill circuit more effectively. Keywords: cement mill , fuzzy logic controller , genetic algorithms , optimization , plugging

More
[randpic]

Adaptive Fuzzy Logic Controller for Rotary Kiln Control

Adaptive Fuzzy Logic Controller for Rotary Kiln Control Anjana C quality clinker efficiently and to supply it to the cement mill uninterruptedly as per the demand. In this paper, a Fuzzy Logic Controller system is proposed mathematical modeling of the plants and parameter tuning of the controller have to be done before implementing the

More
[randpic]

Simulation of grey prediction fuzzy control in mill system

The fuzzy adaptive PID controller combines fuzzy self-adjusting PID control with fuzzy rough-tuning mechanism. The operation result shows that it is quite suitable for the control of mill and a

More
[randpic]

Soft Constrained based MPC for Robust Control of a Cement

Dec 01, 2013· The cement mill present in the plant is a closed circuit ball mill with two chambers. The cement ball mill has a design capacity of 150 tonnes/hour with a sepax separator. continuously whenever the mill is started and the plant personnel is quite satisfied with the performance of the fuzzy controller. The following tuning and weighting

More
[randpic]

Research On Fuzzy Pid Control System Of Temperatuer For

Effects of Waste Heat Power Generation on Rotary Kiln and Mill System. Cement, Vol.5,May,2009,pp27-28. Both the simulated and tested results show that introduction of the fuzzy sell-tuning PID

More
[randpic]

Soft Constrained MPC Applied to an Industrial Cement Mill

Cement mill grinding circuits using ball mills are used for grinding cement clinker into cement powder. They use about 40% tainties and provides easier tuning and maintenance. This in pares the performance of the soft MPC to the existing fuzzy logic controller. Conclusions are provided in Section 8. 2. Soft MPC Algorithm

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Optimal Design of MIMO-Fuzzy Logic Controller using

The objective function is taken as the sum of IAE with respect to minimum and maximum set-points of the control variables. The performance of the proposed optimal MIMO FLC controller is tested for a cement mill plant. The controller parameters of the model were simulated based up on the actual industrial plant (cement mill) characteristics.

More
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Optimizing cement mill using APC techniques at Votorantim

1 raw mill (vertical) 1 coal mill (balls) 1 kiln ; 1 calciner ; 1 cooler ; 2 cement mills (vertical) Customer benefits: Reduction in standard deviation of . raw mill power 62%, raw mill bed depth 60%, kiln motor load 24%, free lime 27%, liter weight 16%, burning zone temperature 5%; Reduction in consumption of grinding media in ball mill

More
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Robust Model Predictive control of Cement Mill circuits

Cement Mill circuits , submitted by GuruPrasath , to the National Institute of ecThnology, Tiruchirappalli, for the award of the degree of Doctor of Phi- losophy , is a bona de record of the research work carried out by him under my

More
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Fuzzy Controllers دانشگاه آزاد اسلامی

5.1.6 Learning fuzzy controllers 159 5.2 Tuning of the fuzzy controller scaling factors 160 5.2.1 On-line and off-line tuning 160 5.2.2 Off-line tuning of the output scaling factors 160 5.2.3 On-line tuning of the input and output scaling factors 161 5.2.4 Application example 163 5.3 Artificial neural networks and neuro-fuzzy controllers 166

More
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Ball mill feeding based on fuzzy adaptive control system

In industrial production, material level control of ball mill are normal operation of ball mill is of great significance. In view of the ball mill run time nonlinear, big inertia and strong coupling characteristic, studied a kind of fuzzy PID based on PLC 300 ball mill feeding control algorithm, based on fuzzy reasoning to self-tuning of PID parameters,...

More
[randpic]

Soft Constrained Based MPC for Robust Control of a

The cement mill present in the plant is a closed circuit ball mill with two chambers. The cement ball mill has a design capacity of 150 tonnes/hour with a sepax separator. The separator can be varied around 70% to have better e ciency. The recirculation ratio of the circuit is 1.5%. The nal product types are Ordinary Portland Cement (OPC) and

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Modified PSO for Optimal Tuning of Fuzzy PID Controller

Fuzzy PID controllers provide a promising approach for industrial applications with many desirable features. However, the large number of parameters and rule bases make self-tuning fuzzy PID controller optimization a complex task. In this paper, a novel tuning method based on the development of the standard particle swarm optimization (PSO) is proposed for optimum design of fuzzy PID

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The Study of Applying the Fuzzy PID Control to Improve the

Abstract. The purpose of this paper was to realize the self-adjustment function of the conventional PID control parameters. Based on deducing the interstand tension control model of tandem cold rolling, this paper combined the fuzzy PID control algorithm with the conventional PID control technology to design a self-tuning fuzzy PID controller.

More
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CiteSeerX — Self-Tuning Fuzzy Looper Control for Rolling Mills

Therefore, a fuzzy controller has been designed to use the expert knowledge of the operators for disturbedprocess control. Also, a self-tuning algorithm is incorporated for both on-line and o-line tuning of the fuzzy membership functions. This paper discusses the design of the fuzzy logic controller and its self-tuning.

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Hydraulic gap control of rolling mill based on self-tuning

(1) The self-tuning fuzzy PID controller can achieve good control effect and strong robustness to the rolling mill HGC system and is suitable for industrial applications. (2) The control algorithm of the self-tuning fuzzy PID controller is simple, does not need to identify the

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Fuzzy Tuning PID Control of the Rolling Mill Main Drive

The main drive system using for four-high mill is usually a double closed loop DC motor speed regulating system. Generally, the speed controller and current controller are PID controllers, and the parameters of controllers are determined by the engineering design method. Once disturbance occur, the control effects are often just passable. In this paper, fuzzy logic is used to set the

More
[randpic]

Tutorial On Fuzzy Logic UVic.ca

A fuzzy controller, in a cement plant for example, aims to mimic the operator’s terms by meansoffuzzylogic. Toillustrate, considerthetankinFig. 1, whichisforfeedingacement mill such that the feed flow is more or less constant. The simplified design in the figure consists of a tank, two level sensors, and a magnetic valve.

More
[randpic]

Optimal Design of MIMO-Fuzzy Logic Controller using

The objective function is taken as the sum of IAE with respect to minimum and maximum set-points of the control variables. The performance of the proposed optimal MIMO FLC controller is tested for a cement mill plant. The controller parameters of the model were simulated based up on the actual industrial plant (cement mill) characteristics.

More
[randpic]

Optimizing cement mill using APC techniques at Votorantim

1 raw mill (vertical) 1 coal mill (balls) 1 kiln ; 1 calciner ; 1 cooler ; 2 cement mills (vertical) Customer benefits: Reduction in standard deviation of . raw mill power 62%, raw mill bed depth 60%, kiln motor load 24%, free lime 27%, liter weight 16%, burning zone temperature 5%; Reduction in consumption of grinding media in ball mill

More
[randpic]

The FLS application of fuzzy logic ScienceDirect

Mar 20, 1995· 3. Fuzzy control language The first two industrial installations of fuzzy con- trollers occurred towards the end of 1979. One system was installed at the Danish cement plant where the first experiments had been carried out; the second system was supplied to a Swedish paper mill for control of a rotary kiln for the reburning of lime.

More
[randpic]

Ball mill feeding based on fuzzy adaptive control system

In industrial production, material level control of ball mill are normal operation of ball mill is of great significance. In view of the ball mill run time nonlinear, big inertia and strong coupling characteristic, studied a kind of fuzzy PID based on PLC 300 ball mill feeding control algorithm, based on fuzzy reasoning to self-tuning of PID parameters,...

More
[randpic]

Fuzzy Controllers دانشگاه آزاد اسلامی

5.1.6 Learning fuzzy controllers 159 5.2 Tuning of the fuzzy controller scaling factors 160 5.2.1 On-line and off-line tuning 160 5.2.2 Off-line tuning of the output scaling factors 160 5.2.3 On-line tuning of the input and output scaling factors 161 5.2.4 Application example 163 5.3 Artificial neural networks and neuro-fuzzy controllers 166

More
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Our Sawmill Manufacturing Process | Horizon Wood Products

The saw mill. 4. Drying process. 5. Grading line. 6. Special inventory. 7. The offices. Step one. Log buying. Years of experience has taught Horizon’s buyers where the good supplies are. Their skilled eyes are also very adept at reading the raw material and making a good educated guess at what’s inside. Some of the best logs available

More
[randpic]

Robust Model Predictive control of Cement Mill circuits

Cement Mill circuits , submitted by GuruPrasath , to the National Institute of ecThnology, Tiruchirappalli, for the award of the degree of Doctor of Phi- losophy , is a bona de record of the research work carried out by him under my

More
[randpic]

The Study of Applying the Fuzzy PID Control to Improve the

Abstract. The purpose of this paper was to realize the self-adjustment function of the conventional PID control parameters. Based on deducing the interstand tension control model of tandem cold rolling, this paper combined the fuzzy PID control algorithm with the conventional PID control technology to design a self-tuning fuzzy PID controller.

More
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Mining Engineering Online

Fuzzy logic self-tuning PID controller design for ball mill grinding circuits using an improved disturbance observer Hamed Khodadadi, Hamid Ghadiri Abstract SME NEWS. SME Distinguished Members, Presidential Citations

More
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Fuzzy control system Wikipedia

A fuzzy control system is a control system based on fuzzy logic—a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values

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