Development of Fuzzy Logic Controller for Cement Mill Abstract- In this paper a fuzzy logic controller is used to control a MIMO (Multiple Input Multiple Output) system. Fuzzy logic controller is used for modeling and solving problems which involves imprecise knowledge and mathematical modelling.
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
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.
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
Dec 05, 2016· (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 plant model, and is consequently easy to apply.
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
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
Dedicated to control cement mill. The application of fuzzy logic and expert systems to control the difference shown in the control system using fuzzy regulators for the operation of the grinding
In this study, artificial neural networks (ANN) and fuzzy logic models were developed to model relationship among cement mill operational parameters. The response variable was weight percentage of product residue on 32-micrometer sieve (or fineness), while the input parameters were revolution percent, falofon percentage, and
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.
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
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.
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
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.
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
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
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.
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.
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
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
Sep 27, 2020· What Is Fuzzy Logic? Fuzzy Logic is defined as a many-valued logic form which may have truth values of variables in any real number between 0 and 1. It is the handle concept of partial truth. In real life, we may come across a situation where we can't decide whether the statement is true or false.
cement in the mill outlet, measuring the sulphates and changing the gypsum percentage in the cement composition. Gypsum is the main source of SO. 3. Another source is the clinker which constitutes the main cement component and the fly ash also in the case of pozzolanic cements. Fig.1. Block diagram of the SO. 3. regulation feedback loop.
Optimization of cement grinding using standard bond grinding calculations based on population balance models is successfully applied [4, 38]. Various grinding laws, energy relationships, control factors and controller design for cement grinding are discussed in [37]. Figure-1. Vertical roller mill for cement
The Application of Fuzzy Reasoning in Cement Particle Size Soft Sensor Weilei Luan, Qingjin Meng, Tao Shen* School of Electrical Engineering University of Jinan Jinan, China e-mail: [email protected], [email protected], [email protected]( corresponding author) Abstract—In the cement production process, cement quality is