scholarly journals Innovative Design and Fuzzy Logic Control for An Underground Moving Sieve Jig

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2151
Author(s):  
Deyong Shang ◽  
Zhiyuan Yang ◽  
Junjie Wang ◽  
Yuwei Wang ◽  
Yue Liu
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Separation Efficiency ◽  
Space Environment ◽  
Driving Mechanism ◽  
Output Curve ◽  
Time Varying ◽  
Motor Speed ◽  
Logic Control

Underground gangue filling technology in coal mines is one of the effective ways to realize green mining. In this paper, a process of underground raw coal primary selection is proposed, which is based on a mechanical sieve jig as the main washing equipment. It refers to the structure of the ground mechanical moving sieve jig. It optimizes and improves the main structure of the jig machine’s driving mechanism and gangue discharge mechanism. It meets the requirements of the technology and the narrow space environment in the underground mine and realizes the effective separation of coal and gangue. In the jigging process of a moving sieve, it is very important to keep the jig bed stable and precisely control the quantity of gangue discharge for improving the system separation accuracy and efficiency. In this paper, a control method based on a fuzzy logic combination is proposed to realize the fuzzy logic control of the motor speed of gangue discharging, which aims at the nonlinear, time-varying uncertainty and pure lag characteristics of the control system of the underground moving sieve jig. Further industrial experiments were carried out and we obtained the variation law of the gangue’s quality in the moving sieve and the output curve of the gangue motor frequency under three working conditions. The experimental results show that the fuzzy logic control algorithm can quickly stabilize the jig bed in the vibrating sieve when the quantity of gangue changes abruptly or fluctuates greatly. It improves the separation efficiency of coal and gangue and effectively solves the problems of nonlinearity, time-varying and hysteresis in the control process of the moving sieve jig.

DC Motor Speed Modeling and Simulation Using Fuzzy Logic Control Method

2021 ◽  
Author(s):  
Desi Fatkhi Azizah ◽  
Khen Dedes ◽  
Agung Bella Putra Utama ◽  
Aripriharta
Keyword(s):  
Fuzzy Logic ◽  
Modeling And Simulation ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Dc Motor ◽  
Motor Speed ◽  
Logic Control

scholarly journals DC Motor Speed Control Using Mamdani Fuzzy Logic Based on Microcontroller

Jurnal Teknik ◽  
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Sumardi Sadi
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Dc Motor ◽  
Motor Speed ◽  
Logic Control ◽  
Control Command ◽  
Arduino Uno

DC motors are included in the category of motor types that are most widely used both in industrial environments, household appliances to children's toys. The development of control technology has also made many advances from conventional control to automatic control to intelligent control. Fuzzy logic is used as a control system, because this control process is relatively easy and flexible to design without involving complex mathematical models of the system to be controlled. The purpose of this research is to study and apply the fuzzy mamdani logic method to the Arduino uno microcontroller, to control the speed of a DC motor and to control the speed of the fan. The research method used is an experimental method. Global testing is divided into three, namely sensor testing, Pulse Width Modulation (PWM) testing and Mamdani fuzzy logic control testing. The fuzzy controller output is a control command given to the DC motor. In this DC motor control system using the Mamdani method and the control system is designed using two inputs in the form of Error and Delta Error. The two inputs will be processed by the fuzzy logic controller (FLC) to get the output value in the form of a PWM signal to control the DC motor. The results of this study indicate that the fuzzy logic control system with the Arduino uno microcontroller can control the rotational speed of the DC motor as desired.

scholarly journals An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Chao Tan ◽  
Rongxin Xu ◽  
Zhongbin Wang ◽  
Lei Si ◽  
Xinhua Liu
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Improved Genetic Algorithm ◽  
Roulette Wheel Selection ◽  
Logic Control ◽  
Roulette Wheel ◽  
Manual Adjustment ◽  
Tangent Function ◽  
Memory Cutting

In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed. The enlargement of coal floor deformation is analyzed and a model is built. Then, the framework of proposed approach is built. Moreover, the constituents of GA such as tangent function roulette wheel selection (Tan-RWS) selection, uniform crossover, and nonuniform mutation are employed to enhance the performance of GFLC. Finally, two simulation examples and an industrial application example are carried out and the results indicate that the proposed method is feasible and efficient.

Design of Fuzzy Logic-Based Controller in Roll Grinding System With Double Regenerative Chatter

2004 ◽  
Author(s):  
LiHong Yuan ◽  
V. M. Ja¨rvenpa¨a¨ ◽  
Erno Keskinen
Keyword(s):  
Numerical Simulation ◽  
Fuzzy Logic ◽  
Vibration Control ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Cutting Parameters ◽  
Regenerative Chatter ◽  
Logic Control ◽  
Grinding Machine ◽  
Grinding System

This paper proposes application of fuzzy logic control (FLC) to do vibration control for the roll-grinding machine system with double regenerative chatter. In this paper, a multiple-degree-of-freedom (MDOF) model is developed to represent the dynamics behaviors of this kind of system. The dynamic system has double delays and lumped cutting parameters which make vibration control challenging. Numerical simulation shows that FLC can dramatically reduce the vibration levels compared to a convention control method.

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