scholarly journals A flexible closed-loop (fcl) pid and dynamic fuzzy logic + pid controllers for optimization of dc motor

2021 ◽  
Author(s):  
Erol Can ◽  
◽  
Mustafa Serdar Toksoy ◽  
Keyword(s):  
Fuzzy Logic ◽  
Pid Control ◽  
High Performance ◽  
Closed Loop ◽  
Operating Time ◽  
Dc Motor ◽  
Pid Controllers ◽  
Dc Motors ◽  
Logic Control ◽  
Control Section

For electrical machines and power circuits to operate at high performance, it is important to control them at the optimum point. So, in this study, a flexible closed-loop (FCL) PID and PID FUZZY study is presented. Different from other studies, different controls can be activated for different positions and durations within the total operating time of the motor. At the same time, by applying four inputs for fuzzification in the designed fuzzy logic control section, 3 different outputs are provided to the PID control in three defuzzification sections. So, Dynamic Fuzzy logic interactivity is ensured with PID on load. This, unlike other PID FUZZY controllers, provides a more effective application of error and error change to the system. In the second chapter, DC motors and controls are explained. In the third chapter, designed controls and dc motor applications are made. The results obtained in practice reveal the effectiveness of the proposed system after compared with conventional P, PI and PID.

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.

Optimal Control of DC Motors Using PSO Algorithm for Tuning PID Controller

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Arnisa Myrtellari ◽  
Petrika Marango ◽  
Margarita Gjonaj
Keyword(s):  
Pid Controller ◽  
High Performance ◽  
Industrial Process ◽  
Speed Control ◽  
Pso Algorithm ◽  
Dc Motor ◽  
Step Response ◽  
Pid Controllers ◽  
Motor Speed ◽  
Dc Motors

The DC motors are widely used in the mechanisms that require control of speed. Different speed can be obtained by changing the field voltage and the armature voltage. The classic PID controllers are widely used in industrial process for speed control. But they aren’t suitable for high performance cases, because of the low robustness of PID controller. So many researchers have been studying various new control techniques in order to improve the system performance and tuning PID controllers. This paper presents particle swarm optimization (PSO) method for determining the optimal PID controller parameters to find the optimal parameters of DC Motor speed control system. The DC Motor system drive is modeled in MATLAB/SIMULINK and PSO algorithm is implemented using MATLAB toolbox. The results obtained through simulation show that the proposed controller can perform an efficient search for the optimal PID controller. Simulation results show performance improvement in time domain specifications for a step response (no overshoot, minimal rise time, steady state error = 0).

Straight-Move Robot Control System with LabView-Based Proportional Integral Derivative (PID) Control

2019 ◽  
Vol 3 (2) ◽  
pp. 13-24
Author(s):  
Andrean George W
Keyword(s):  
Pid Control ◽  
Rotational Speed ◽  
Pid Controller ◽  
Dc Motor ◽  
Motor Speed ◽  
Labview Software ◽  
Dc Motors ◽  
Dc Motor Control ◽  
Process System ◽  
Interface Devices

Abstract - Control and monitoring of the rotational speed of a wheel (DC motor) in a process system is very important role in the implementation of the industry. PWM control and monitoring for wheel rotational speed on a pair of DC motors uses computer interface devices where in the industry this is needed to facilitate operators in controlling and monitoring motor speed. In order to obtain the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the DC motor control based on the error obtained, the desired DC motor rotation value is called the set point. LabVIEW software is used as a PE monitor, motor speed control. Keyword : LabView, Motor DC, Arduino, LabView, PID.

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 Cable Car Speed Control Using Programmable Logic Control Based on Fuzzy Logic

2020 ◽  
Vol 2 (3) ◽  
pp. 125-129
Author(s):  
Santi Triwijaya ◽  
Arief Darmawan ◽  
Andri Pradipta ◽  
Dara Aulia Feriando
Keyword(s):  
Fuzzy Logic ◽  
Wind Speed ◽  
Maximum Load ◽  
Dc Motor ◽  
Programmable Logic ◽  
Logic Control ◽  
Programmable Logic Control ◽  
Wind Speed Maximum ◽  
Safety And Reliability ◽  
Load Weight

A cable car is a hanging car that runs by cable. Cable car carrier controlled by DC motor. The cable car can be a solution to accommodate the mobilization of agricultural commodities in areas that are difficult to access while still paying attention to safety and reliability. In this research, the speed of a cable car would be automatically controlled with Programmable Logic Control (PLC). PLC functions as a cable car operation controller by considering 3 parameters, namely: wind speed, maximum load weight, and distance (meters). The speed of the cable car is controlled by the PLC using fuzzy logic. Cable car speed is based on parameters of wind speed, load weight and distance. From the results obtained, the PLC has worked well in regulating the speed of the cable car and if any parameter exceeds the PLC limit, it can turn off the cable car.

scholarly journals Control of a dc motor using fuzzy logic control algorithm

2017 ◽  
Vol 36 (2) ◽  
pp. 594 ◽  
Author(s):  
I. H. Usoro ◽  
U. T. Itaketo ◽  
M. A. Umoren
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Dc Motor ◽  
Logic Control
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