Performance Evaluation of Speed Controller Permanent DC Motor in Electric Bike Using Fuzzy Logic Control System

2018 ◽  
Author(s):  
Renny Rakhmawati ◽  
Irianto ◽  
Farid Dwi Murdianto ◽  
Gamal Tabrani Ilman Syah
Keyword(s):  
Fuzzy Logic ◽  
Performance Evaluation ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Dc Motor ◽  
Speed Controller ◽  
Logic Control ◽  
Electric Bike

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.

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 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.

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

Permanent Magnet Chatter Absorber with Fuzzy Logic Control

2009 ◽  
Vol 147-149 ◽  
pp. 290-295 ◽  
Author(s):  
Bogdan Broel-Plater ◽  
Stefan Domek ◽  
Arkadiusz Parus
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Permanent Magnets ◽  
Practical Experience ◽  
High Energy ◽  
Logic Control ◽  
Machine Operators

The paper deals with semi-active chatter absorber based on an electrodynamic transducer built around high-energy permanent magnets. Also, a fuzzy logic control system for the absorber control system has been designed. The principal advantage of fuzzy control is the possibility to implement practical experience gained by machine operators in the control algorithm. Hence, the possibility of factoring such quantities, as vibrations experienced by selected points of the machine-tool, and sound emitted by working machine into the analyzed chatter absorber fuzzy control system has been studied in the paper. The control system has been tested by way of simulation with the use of the process and cutting force models.

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 Reconfigurable fuzzy logic system for high-frame rate stereovision object tracking

2021 ◽  
Author(s):  
Oleg Samarin
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Object Tracking ◽  
Fuzzy Logic Control ◽  
Tracking System ◽  
Frame Rate ◽  
Disparity Map ◽  
High Frame Rate ◽  
Logic Control ◽  
Logic System

his study investigates the applicability of fuzzy logic control to high-frame rate stereovision object tracking. The technology developed in this work is based on utilizing a disparity map produced by the Stereovision Tracking System (STS) to identify the object of interest. The coordinates of the object are used by the fuzzy logic control system to provide rotation and focus control for object tracking. The fuzzy logic control was realized as a reconfigurable hardware module and implemented on Virtex-2 FPGA platform of the STS. The fuzzy reasoning was implemented as a reconfigurable look-up table residing in FPGA's internal memory. A set of software tools facilitating creation of loop-up table and reconfiguration of fuzzy logic control system was developed. Finally, the experimental prototype of the system was built and tested.

Sign in / Sign up

Export Citation Format

Share Document