fuzzy logic for cement mill using matlab

fuzzy logic for cement mill using matlab

A plant-scale validated MATLAB-based fuzzy expert

2018-10-1  FECS monitors mill operating condition (i.e. BP, PD, MT and MC) and prevents the mill to operate in those conditions by changing mill speed or tuning mill feed. 7. Conclusions. A MATLAB-based fuzzy expert control system has been developed, verified and validated by real operating data from Sungun SAG mill copper grinding circuit.

More

Adaptive Fuzzy Logic Controller for Rotary Kiln Control

2016-11-12  Fuzzy Logic, MATLAB, SIMULINK, Clinker . I. kiln speed (KS), Coal feed (CF), Kiln feed (KF) and Preheater fanINTRODUCTION Cement production is a complex process, composed of a series of activities requiring substantial technological support [1] . Although cement is the final product of a cement factory, the

More

Comparison of artificial neural network and fuzzy logic ...

2009-9-1  In this part of study, the developed fuzzy logic-based model was applied to predict the compressive strength data obtained from experiments. The fuzzy rules were written for this purpose. It can be seen from Fig. 2 that we devised the fuzzy logic-based algorithm model by using the FL toolbox in MATLAB. Download : Download full-size image; Fig. 2.

More

Optimal Design of MIMO-Fuzzy Logic Controller using ...

The controller parameters of the model were simulated based up on the actual industrial plant (cement mill) characteristics. The performances of the optimal design proposed using MIMO-FLC technique is compared against many other existing methods and the results of different simulation are presented. Issue: 08-Special Issue. Year: 2018. Pages ...

More

Image Processing Using Fuzzy Logic Toolbox - MATLAB

2020-8-31  Fuzzy logic has two different meanings. In a narrow sense, fuzzy logic is a logical system, which is an extension of multivalued logic. However, in the broader sense, Fuzzy Logic (FL) is almost synonymous with the theory of fuzzy sets. This theory relates to classes of objects with unsharp boundaries in which membership is a matter of degree.

More

FUZZY LOGIC CONTROLLER SIMULATION

2015-3-2  Fuzzy logic is not logic that is fuzzy, but logic that is used to describe fuzziness. Fuzzy logic is the theory of fuzzy sets, sets that calibrate vagueness [3]. It is based on the idea that all things admit of degrees. In other words, fuzzy logic is a set of mathematical principles for knowledge representation based on degrees of membership.

More

Fuzzy Control

2005-10-12  explain how to write a computer program to simulate a fuzzy control system, using either a high-levellanguage or Matlab1.Inthewebandftppages for the book we provide such code in C and Matlab. In Chapter 3 we use several case studies to show how to design, simulate, and implement a variety of fuzzy control systems.

More

Analysis and Performance Evaluation of PD-like Fuzzy

2010-5-10  The fuzzy inference was designed using fuzzy toolbox provided in MATLAB, and the same design coded in MATLAB file (.m) in order to make a comparison with other FPGA-based designs. Fig. 4 shows the layout of the fuzzy inference in the PD fuzzy logic controller. For any fuzzy logic controller design, it is necessary to check

More

FUZZY LOGIC MODEL FOR PREDICTION OF

2012-11-23  2003). A prediction model of elastic modulus by using fuzzy logic was developed by Demir (Demir 2005). A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard curing conditions was created by Akkurt et al (Akkurt et al 2004). A new way of predicting of cement strength by using fuzzy logic was devised

More

BRIDGE CONDITION EVALUATION USING FUZZY LOGIC

2009-10-27  The creation, optimalisation and testing of proposed FIS’s is enabled by the Fuzzy Logic Toolbox, designed for using with MATLAB. It is possible to work either from the command line or in the Graphic User Interface (GUI). The graphical FIS consists of three tools for the creation and editing of the fuzzy

More

Crack Detection in Concrete Surfaces using Image ...

2021-10-15  fuzzy logic and artificial neural network based models for accurate crack detection on concrete. Features are extracted from digital images of concrete surfaces using image processing which incorporates the edge detection technique. The properties of extracted features are fed into the models for detecting cracks.

More

matlab - Example of fuzzy logic in classification - Stack ...

2016-6-20  Fuzzy logic means that every pattern belongs to a class up to a level. In other words, the output of the algorithm for every pattern could be a vector of let's say percentages of similarity to each class that sum up to unity. Then the decision for a class could be taken by checking a threshold. This means that the purpose of fuzzy logic is to ...

More

The Fuzzy Control For The Cement Combined Gringing

Using MATLAB software, according to the data fitting and data verification of simulation results shows that the T-S model can reaction very good the mill load and stable chamber material change process.(3) A generalized predictive control algorithm based on T-S model is proposed to realize the fuzzy control of the combined grinding system.

More

FUZZY LOGIC CONTROLLER AS MODELING TOOL FOR THE

To arrive at a solution, a Fuzzy Logic controller has been designed to achieve a well-defined relationship between the main and vital variables through the instrumentality of a Fuzzy Model. The Fuzzy Logic controller has been simulated on a digital computer using MATLAB 5.0 Fuzzy Logic Tool Box, using data from a local cement production plant.

More

Fuzzy Control

2005-10-12  explain how to write a computer program to simulate a fuzzy control system, using either a high-levellanguage or Matlab1.Inthewebandftppages for the book we provide such code in C and Matlab. In Chapter 3 we use several case studies to show how to design, simulate, and implement a variety of fuzzy control systems.

More

GitHub - ZLLeon-Research/CCS-by-GMM-PRBFNNs: The

The Code for "Building Fuzzy Logic Relationship between Compressive Strength and 3D Microstructural Image Features for Cement Hydration Using Gaussian Mixture Model-based Polynomial Radial Basis Function Neural Networks"

More

FUZZY LOGIC CONTROLLER FOR AN AUTONOMOUS

2011-10-24  G PROGRAM IN MATLAB IMPLEMENTING FUZZY LOGIC CONTROLLER WITH NON ... autonomous robot along a concrete path using its edged as a continuous landmark. In [8], 3 a mobile robot control law for corridor navigation and wall following based on sensor and odometric sensorial information is proposed.

More

Rule-based Mamdani type fuzzy logic model for the ...

2012-2-19  In this study, a fuzzy logic model for predicting compressive strength of concretes containing silica fume (SF) (0, 5, 10%) has been developed using non-destructive testing results [ultrasonic pulse velocity (km/s) and Schmidt hardness (R)]. Experimental results of non-destructive tests and the amount of the SF were used to construct the model. Result have shown that fuzzy logic systems have ...

More

Analysis and Performance Evaluation of PD-like Fuzzy

2010-5-10  The fuzzy inference was designed using fuzzy toolbox provided in MATLAB, and the same design coded in MATLAB file (.m) in order to make a comparison with other FPGA-based designs. Fig. 4 shows the layout of the fuzzy inference in the PD fuzzy logic controller. For any fuzzy logic controller design, it is necessary to check

More

Analysis and Design of a Three Inputs Fuzzy System for ...

2020-8-21  simulated for six cases by using fuzzy logic toolbox of ‘MATLAB® version 7.11.0.584 (R2020b). Keywords: sugar mill, cane carrier, Donnelly chute, juice extraction, fuzzy algorithm, fuzzy controller . Cite This Article: Yogesh Misra, and H R Kamath, “Analysis and Design of a Three Inputs Fuzzy System for

More

matlab - Example of fuzzy logic in classification - Stack ...

2016-6-20  Fuzzy logic means that every pattern belongs to a class up to a level. In other words, the output of the algorithm for every pattern could be a vector of let's say percentages of similarity to each class that sum up to unity. Then the decision for a class could be taken by checking a threshold. This means that the purpose of fuzzy logic is to ...

More

FUZZY LOGIC CONTROL FOR AN AUTONOMOUS ROBOT

2009-6-16  and provides the necessary control signal. A fuzzy logic controller is used to control the robot’s motion along the predefined path. The robot was first modeled in Matlab Simulink and the fuzzy logic rules were optimized for the best results possible. Later the microcontroller was programmed in C language using a PCW C-compiler and tested.

More

PROCESS CONTROL FOR CEMENT GRINDING IN

2017-10-27  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 grinding [13].

More

Surface roughness prediction using Taguchi-fuzzy logic ...

2014-8-15  The present study highlights the Taguchi design of experiment techniques proved to be an efficient tool for the design of neural networks’ surface roughness to predict in the grinding process, where CNT mixed nanofluids are used as dielectric for machining AISI D3 Tool steel material. Empirical model for the prediction of output parameters has been developed using regression analysis and the ...

More

FUZZY LOGIC CONTROLLER AS MODELING TOOL FOR THE

To arrive at a solution, a Fuzzy Logic controller has been designed to achieve a well-defined relationship between the main and vital variables through the instrumentality of a Fuzzy Model. The Fuzzy Logic controller has been simulated on a digital computer using MATLAB 5.0 Fuzzy Logic Tool Box, using data from a local cement production plant.

More

Rule-based Mamdani type fuzzy logic model for the ...

2012-2-19  In this study, a fuzzy logic model for predicting compressive strength of concretes containing silica fume (SF) (0, 5, 10%) has been developed using non-destructive testing results [ultrasonic pulse velocity (km/s) and Schmidt hardness (R)]. Experimental results of non-destructive tests and the amount of the SF were used to construct the model. Result have shown that fuzzy logic systems have ...

More

FUZZY LOGIC CONTROLLER FOR AN AUTONOMOUS

2011-10-24  G PROGRAM IN MATLAB IMPLEMENTING FUZZY LOGIC CONTROLLER WITH NON ... autonomous robot along a concrete path using its edged as a continuous landmark. In [8], 3 a mobile robot control law for corridor navigation and wall following based on sensor and odometric sensorial information is proposed.

More

Analysis and Performance Evaluation of PD-like Fuzzy

2010-5-10  The fuzzy inference was designed using fuzzy toolbox provided in MATLAB, and the same design coded in MATLAB file (.m) in order to make a comparison with other FPGA-based designs. Fig. 4 shows the layout of the fuzzy inference in the PD fuzzy logic controller. For any fuzzy logic controller design, it is necessary to check

More

Analysis and Design of a Three Inputs Fuzzy System for ...

2020-8-21  simulated for six cases by using fuzzy logic toolbox of ‘MATLAB® version 7.11.0.584 (R2020b). Keywords: sugar mill, cane carrier, Donnelly chute, juice extraction, fuzzy algorithm, fuzzy controller . Cite This Article: Yogesh Misra, and H R Kamath, “Analysis and Design of a Three Inputs Fuzzy System for

More

GitHub - ZLLeon-Research/CCS-by-GMM-PRBFNNs: The

The Code for "Building Fuzzy Logic Relationship between Compressive Strength and 3D Microstructural Image Features for Cement Hydration Using Gaussian Mixture Model-based Polynomial Radial Basis Function Neural Networks"

More

FUZZY LOGIC CONTROL FOR AN AUTONOMOUS ROBOT

2009-6-16  and provides the necessary control signal. A fuzzy logic controller is used to control the robot’s motion along the predefined path. The robot was first modeled in Matlab Simulink and the fuzzy logic rules were optimized for the best results possible. Later the microcontroller was programmed in C language using a PCW C-compiler and tested.

More

Surface roughness prediction using Taguchi-fuzzy logic ...

2014-8-15  The present study highlights the Taguchi design of experiment techniques proved to be an efficient tool for the design of neural networks’ surface roughness to predict in the grinding process, where CNT mixed nanofluids are used as dielectric for machining AISI D3 Tool steel material. Empirical model for the prediction of output parameters has been developed using regression analysis and the ...

More

Fuzzy Logic and its Applications in Medicine

2020-10-13  1 Fuzzy logic and its applications in medicine Nguyen Hoang Phuong 1 and Vladik Kreinovich2 1 Institute of Information Technology, National Center for Natural Science and Technology of Vietnam, Vien Cong Nghe Thong Tin, Nghia Do, Q. Cau Giay, Hanoi, Vietnam. Tel./Fax. (84)(4) 5371284, Email:[email protected]

More

Fuzzy Set Theory-and Its Applications, Fourth Edition

2017-1-9  8.3.2 Probability of a Fuzzy Event as a Fuzzy Set 131 8.4 Possibility vs. Probability 133 Part II: Applications of Fuzzy Set Theory 139 9 Fuzzy Logic and Approximate Reasoning 141 9.1 Linguistic Variables 141 9.2 Fuzzy Logic 149 9.2.1 Classical Logics Revisited 149 9.2.2 Linguistic Truth Tables 153 9.3 Approximate and Plausible Reasoning 156 9 ...

More

Fuzzy Logic Controller Implementation of Power Quality ...

2017-9-13  Fuzzy Logic Controller Implementation of Power Quality Improvement Using UPQC S. Balaslubramaniyan1, T. S. Sivakumaran2 1Department of EEE, Mailam Engineering College, Mailam, India 2Department of EEE, Arunai College of Engineering, Tiruvannamalai, India Abstract This paper presents a gross examination about Unified Power Quality Condi-

More

Use of Fuzzy Logic for Design and Control of Nonlinear ...

2016-10-28  Standard analytical methods are often ineffective or even useless for design of nonlinear control systems with imprecisely known parameters. The use of fuzzy logic principles presents one possible way to control such systems which can be used both for modeling and design of the control. The advantage of using

More