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.

Fuzzy Logic Semi-Active Vibration Control

1999 ◽  
Author(s):  
Sunghwan Kim ◽  
William W. Clark
Keyword(s):  
Fuzzy Logic ◽  
Vibration Control ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Active Vibration Control ◽  
Experimental Tests ◽  
Control Laws ◽  
Persistent Excitation ◽  
Logic Control ◽  
Human Decision

Abstract Fuzzy logic control is so-called artificial intelligence because control laws are designed by human decision, not by deterministic numerical calculations. This paper investigates the effectiveness of a fuzzy logic control method in vibration control with a semi-active MR fluid actuator. The system to be controlled is a simply supported beam to which is applied a persistent excitation. Numerical simulation and experimental tests are performed. Three semi-active control laws, one deterministic and two fuzzy-logic, were applied and compared on the basis of vibration control performance and energy consumption. These controllers are compared to the baseline fully-on control where the MR fluids are energized so that the actuator performs as a tuned passive damper. Simulation and experimental data were examined.

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 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.

Small Satellite Modelling and Three-Axis Magnetorquer-Based Stabilisation Using Fuzzy Logic Control

2012 ◽  
Vol 152-154 ◽  
pp. 1639-1644
Author(s):  
Amirhossein Asadabadi ◽  
Amir M. Anvar
Keyword(s):  
Fuzzy Logic ◽  
Attitude Control ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Small Satellite ◽  
Electromagnetic Actuation ◽  
Small Satellites ◽  
Logic Control ◽  
Electromagnetic Coils ◽  
Different Types

Recently small satellites have become increasingly popular because of their ability to provide educational institutes with the chance to design, construct, and test their spacecraft from beginning to the possible launch due to the low launching cost and development of microelectronics (Figure 1). Clearly, using only electromagnetic coils instead of different types of actuators will serve the purpose of weight reduction where every grams counts. But some restrictions described in the paper limit utilising only “Electromagnetic” actuation for 3D stabilisation and adversely affects the efficiency of the controller. However, there are some theories developed recently that have made the aforementioned purpose feasible. In this paper a new control method based on Fuzzy Logic Control (FLC) is presented that keeps the satellite in desired conditions only by electromagnetic coils. More precisely, an approach of Fuzzy control which is incorporated with electromagnetic actuation is presented for the in-orbit attitude control of a small satellite. The design is developed to stabilize the spacecraft against disturbances with a three-axis stabilizing capability. The paper also describes the required hardware and the design and development of the magnetic torquers.

scholarly journals Power System Stabilization By Fuzzy Set Theory Based Control Of SMES

1970 ◽  
Vol 6 (2) ◽  
pp. 33-41 ◽  
Author(s):  
Md Rafiqul Islam Sheikh ◽  
Rion Takahashi ◽  
Junji Tamura
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Power System ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Magnetic Energy ◽  
Dynamic Performance ◽  
Superior Performance ◽  
Logic Control

At present fuzzy logic control is receiving increasing emphasis in process control applications. The paper describes the application of fuzzy logic control in a power system that uses a 12- pulse bridge converter associated with Superconductive Magnetic Energy Storage (SMES) unit. The fuzzy control is used in both the frequency and voltage control loops, replacing the conventional control method. The control algorithms have been developed in detail and simulation results are presented. These results clearly indicate the superior performance of fuzzy control during the dynamic period of energy transfer between the power system and SMES unit. Keywords: Fuzzy logic controller; power system dynamic performance; SMES unit. DOI: http://dx.doi.org/10.3329/diujst.v6i2.9343 DIUJST 2011; 6(2): 33-41

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