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 Implementation of Mamdani Fuzzy Logic Control System on DC Motor Speed Controller

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Basilio Mendonca Freitas ◽  
Mochammad Rameli ◽  
Rusdhianto EAK
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Speed Controller ◽  
Logic Control ◽  
Two Parameters ◽  
Control Application ◽  
Determine System

Abstract— Drive system is an important role important role in industrial processes, especially in electrical control. Maintaining a DC motor speed is a control system task that requires several method. Generally, set-point is defined as point of demand, and its comparation against process value (current speed) resulted in error. Both error and delta-error are two parameters required to the control system to determine system behavior in correction action. Such system of controller is a useful component to suppress the error signal so that the desired performance can be obtained. This research designs system of DC motor rotation speed control using Arduino Uno microcontroller to meet control specification on laboratory scale, implementing control application and Fuzzy Control System as control system algorithm.Because of its ability to be easily modeled using human intuitive, adaptive, does not require complex mathematical equations, not limited to linear or constant systems, and easily adapted to human input, Mamdani Fuzzy Logic Control System is used.

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 Online Position Control Performance Improving Applying Incremental Fuzzy Logic Controller

2018 ◽  
Vol 248 ◽  
pp. 02005
Author(s):  
Dirman Hanafi ◽  
Mohamed Najib Ribuan ◽  
Wan HamidahWan Abas ◽  
Hidayat ◽  
Elmy Johana ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Motor Performance ◽  
Fuzzy Logic Controller ◽  
Position Control ◽  
Fuzzy Controller ◽  
Dc Motor ◽  
Peak Time ◽  
Control Performance ◽  
Position Control System

This paper presents the online control system application for improving the DC motor performance. DC motor widely used in industries and many appliances. For this aim fuzzy logic controller is applied. The type of fuzzy controller use is an incremental fuzzy logic controller (IFLC). The IFLC is developed by using MATLAB Simulink Software and implemented in online position control system applying RAPCON board as a platform. The experimental results produced the best gains of the IFLC are 1.785, 0.0056955 and 0.01 for error gain (GE), gain of change error (GCE) and gain of output (GCU) respectively. Its produce smaller rise time, peak time, 0% overshoot and smaller settling time. Beside that the IFLC response also able to follow the set point. The controller response parameters values are also acceptable. It means that the IFLC suitable to be use for improving the position control system performance.

Interval Type-2 Fuzzy Logic Control of NM70 Shape Memory Actuator

2014 ◽  
Author(s):  
Ireneusz Dominik
Keyword(s):  
Fuzzy Logic ◽  
Shape Memory ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Logic Control ◽  
Interval Type ◽  
Nonlinear Plant

The main aim of this article is to present the usage of type-2 fuzzy logic controller to control a shape memory actuator. To enhance real-time performance simplified interval fuzzy sets were used. The algorithm was implemented in the ATmega32 microcontroller. The dedicated PC application was also built. The fuzzy logic controller type-2 was tested experimentally by controlling position of the shape memory alloy actuator NM70 which despite its small size distinguishes itself by its strength. The obtained results confirmed that type-2 fuzzy controller performed efficiently with a difficult to control nonlinear plant. The research also proved that interval type-2 controllers, which are a simplified version of the general type-2 controllers, are very efficient. They can handle uncertainties without increasing drastically the computational complexity. Experimental data comparison of the fuzzy logic controller type-2 with type-1 clearly indicates the superiority of the former, especially in reducing overshooting.

scholarly journals An improved 1-φ rectifier system using fuzzy logic control with 3-φ variable frequency drive

2018 ◽  
Vol 7 (2.7) ◽  
pp. 520
Author(s):  
M Kiran Kumar ◽  
SK Almaj ◽  
K S. Srikanth
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Output Frequency ◽  
Variable Frequency Drive ◽  
Dc Voltage ◽  
Motor Current ◽  
Logic Control ◽  
Voltage Ripple

A 3-Φ VFD steam fed from a 1-Φ AC supply. To stop more stresses in the components within the drive and within the input supply,  the drive output power should be restricted. To beat this problem, several VFD makers decided that drive to be de-rated. As often as possible, the drive’s output frequency is limited, supported the dc voltage ripple hence the DC capacitors aren’t overstressed. Through the tradional technique decrement of strain within the DC Capacitors, it doesn’t consider the stresses in other parts of the drive, particularly the diodes at the input and terminal blocks of input. During this paper, brand new fuzzy controller based technique for the protection of the drive the motor   current with FLC is projected. The motor  current is shown to possess info relating the stresses in numerous elements of the VFD together with the diodes at the input, terminal blocks of the input, and therefore the Dc capacitors. The o/p power is projected to be restricted by decreasing the o/p frequency supported the avg and ripple abundancy of the quadrature axis current rather than the dc voltage ripple. To prove this conception, a comparison is made between fuzzy logic controller based technique employing a less power VFD fed from a 1-Φ ac, and the conventional dc voltage ripple based frequency technique.                                                                                                                                                                  

scholarly journals Implementasi Sistem Kontrol Fuzzy pada Robot Lengan Exoskeleton

Jurnal METTEK ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 54
Author(s):  
Wayan Reza Yuda Ade Prasetya ◽  
I Wayan Widhiada
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Dc Motor ◽  
The Body ◽  
Peak Time ◽  
Servo Motor ◽  
Dc Motors ◽  
Logic Control ◽  
Exoskeleton Robot

Manusia ingin dilahirkan dalam kehidupan yang sempurna, baik jasmani maupun rohani. Tetapi dalam kenyataannya, manusia jauh dari sempurna. Salah satu ketidaksempurnaan yaitu kelumpuhan pada lengan. Penelitian yang sekarang berkembang yaitu robot exoskeleton. Exoskeleton merupakan struktur pendukung dari bagian luar tubuh. Robot ini memiliki aplikasi prospektif untuk rehabilitasi atau alat bantu. Sistem kontrol exoskeleton yang sukses bergantung pada pemahaman yang lebih baik dalam biomekanik gerak tubuh manusia dan mekanisme sensorik yang juga merupakan masalah penting dalam interaksi fisik manusia-robot. Robot siku lengan yang dikembangkan oleh Thomas menggunakan servo motor sebagai aktuator. Semakin berat beban, semakin besar torsi servo tersebut. Di Indonesia tidak dijumpai servo dengan torsi tinggi. Hanya motor DC yang banyak di pasaran. Untuk menekan biaya pengembangan robot lengan exoskeleton, penelitian menggunakan motor DC. Sistem kontrol diperlukan untuk membuat sebuah motor DC bergerak seperti layaknya motor servo. Sistem kontrol logika Fuzzy paling tepat untuk mengontrol motor DC. Sebuah prototype robot lengan exoskeleton dibuat. Motor DC sebagai penggerak lengan robot. Sistem kontrol Fuzzy pada robot dibuat menggunakan software SIMULINK/MATLAB. Gerak robot dibatasi dari 0o sampai 90o. Sistem akan diuji menggunakan SIMULINK/MATLAB dan dilakukan dengan interface prototype exoskeleton. SIMULINK/Matlab memudahkan pembuatan Logika Fuzzy yang dapat mengontrol Motor DC bergerak layaknya motor servo. Data Parameter respon transient dari hasil pengujian prototype selama 20 detik, waktu tunda (td) = 1.16, waktu naik (tr) = 1.98, waktu puncak (tp) = 2.16 . Data parameter sistem kontrol Logika Fuzzy lebih baik daripada sistem kontrol sederhana yang dibuat. Humans want to be born in a perfect life, both physically and spiritually. But in reality, humans are far from perfect. One of the imperfections is arm paralysis. The current study is an exoskeleton robot. The exoskeleton is the supporting structure of the outer part of the body. This robot has a prospective application for rehabilitation or aids. Successful exoskeleton control systems rely on better understanding of the biomechanics of human body motion and the sensory mechanisms that are also important problems in human-robot physical interactions. The elbow arm robot developed by Thomas uses servo motors as actuators. The heavier the load, the greater the servo torque. In Indonesia there is no servo with high torque. Only DC motors are in the market. To reduce the development cost of robotic arm of exoskeleton, research using DC motor. A control system is needed to make a DC motor move like a servo motor. Fuzzy logic control system is most appropriate for control of DC motors. A prototype of an exoskeleton robot arm is made. DC motor as a actuator robot. Fuzzy control system on the robot is made using SIMULINK / MATLAB software. Robot motion is limited from 0o to 90o. The system will be tested using SIMULINK / MATLAB and done with prototype exoskeleton interface. SIMULINK / Matlab facilitate the manufacture of Fuzzy Logic that can control the motion of DC motors like servo motors. Data Parameter transient response from prototype test result for 20 seconds, Delay time (td) = 1.16, Rise time (tr) = 1.98, Peak time (tp) = 2.16. Data parameters Fuzzy Logic control system is better than the simple control system created.

Position Control of 3-DOF Underactuated Manipulators with Last Passive Joint Using Fuzzy Logic Control

2013 ◽  
Vol 373-375 ◽  
pp. 192-196
Author(s):  
Qi Xiao Xia ◽  
Yue Qing Yu ◽  
Zhi Quan Ren
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Position Control ◽  
Fuzzy Controller ◽  
Passive Joint ◽  
Logic Control ◽  
Nonholonomic Dynamics ◽  
Underactuated Manipulator ◽  
Underactuated Manipulators

Underactuated manipulator is one kind of second order nonholonomic dynamics systems. How to control this system is still an open problem. This paper proposes a fuzzy strategy to control three DOF underactuated manipulator with a last passive joint. Four measures are selected to construct the fuzzy logic controller. The four measures are divided into two classes; one class is concerning first link, another class concerning the second link. Four fuzzy logic processors are designed to deal with the measure errors, respectively. The four fuzzy logic processors are also divided into two classes according to the two measure classes. Then, the processed results from the four processors are composed to produce control signs to compensate the errors occurring in the manipulator motion. This method simplifies the design of the fuzzy logic controller. Finally, numerical simulation verifies the fuzzy controller.

An intelligent peer-to-peer streaming model for minimizing flash crown

2020 ◽  
Vol 26 (1) ◽  
Author(s):  
O.E. Ojo ◽  
T.O. Olorunfemi ◽  
O. Folorunso ◽  
C. Omoijuanfo
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Peer To Peer ◽  
Limited Bandwidth ◽  
Logic Control ◽  
Flash Crowd ◽  
Large Spike ◽  
P2p System

Peer-to-peer streaming systems (P2PSS) have become well deployed over the Internet in recent times due to its robustness, scalability, distributive nature and cost effectiveness. It is not un-common that peers arrive on the system in large numbers at a particular time in order to retrieve multimedia files. The large spike in the number of peers arriving at a time can be referred to as flash crowd. Several methods have been proposed, models have been designed aiming at providing solution to the problem. This paper attempts to alleviate flash crowd that may occur in the system using a fuzzy logic control system. Inputs were created and fuzzified, rules were developed and then the outputs were defuzzified. Analysis of the results derived from the MATLAB simulation reveal that under a flash crowd scenario, our fuzzy logic controller functions appropriately by the detecting flash crowd when it is about to occur and then necessary actions are taken. Also, with the fuzzy logic control system peer access in and out of the system is successfully controlled. The system allows for new peers to connect more with high bandwidth peers aiming at making the upload rate of each parent proportional to its upload bandwidth thereby utilizing the limited bandwidth resources of the entire P2P system more effectively.Keywords: Peer-to-peer networks, video streaming and flash crowdVol. 26, No. 1, June, 2019

Research on Fuzzy Control System for Air-Condition in Bus

2012 ◽  
Vol 457-458 ◽  
pp. 998-1001
Author(s):  
Qiu Hua Miao ◽  
Pei Gang Jiao ◽  
Jie Liang
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Logic Control ◽  
Fuzzy Controller ◽  
Logic Control ◽  
Temperature Signal ◽  
Working Principle ◽  
Fuzzy Logic Technique ◽  
Deflection Rate

In this paper fuzzy logic control is introduced in auto adjust control system of air in bus. Fuzzy controller employs fuzzy control model of two inputs and one output. The paper also introduces the hardware framework, working principle and software of the system, analyzing merits of fuzzy logic technique, putting emphasis on the design of the fuzzy controller. In the controlling process, fuzzy controller samples temperature signal in bus and calculate deflection and deflection rate of temperature, looks up corresponding output in controlling table, and calculates its precision, then fuzzy controller gives related signal to motors and valve, acquiring satisfactory effect.

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