Speed Control of DC Motor using Fuzzy Logic Controller by PCI 6221 with MATLAB

This thesis demonstrates the importance of Fuzzy Logic Controller. The operation of a DC motor is performed using Fuzzy Logic Controller (FLC) in MATLAB environment. Fuzzy Logic is one of the most successful applications of fuzzy set in which the variables are linguistic rather than numeric. A Fuzzy Logic Controller (FLC) is based on a set of control rules (fuzzy rules) among linguistic variables. The proposed fuzzy controller results in a better response compared to the normal response of DC motor. This thesis consists of two parts; software and hardware implementation. The software part aims to design and develop a Fuzzy Logic Controller in MATLAB Simulink. The hardware Part Consist of DC motor Driver and PCI 6221. The DC drive is used to convert AC voltage into variable DC voltage PCI 6221 is used as the hardware interface between Hardware and Software.

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DC Motor Speed Control Using Mamdani Fuzzy Logic Based on Microcontroller

Jurnal Teknik ◽

10.31000/jt.v9i2.3676 ◽

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.

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Online Position Control Performance Improving Applying Incremental Fuzzy Logic Controller

MATEC Web of Conferences ◽

10.1051/matecconf/201824802005 ◽

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.

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PERFORMANCE IMPROVEMENTS OF SEPARATELY EXCITED DC MOTOR USING FUZZY LOGIC CONTROL

International Journal of Engineering Technologies and Management Research ◽

10.29121/ijetmr.v6.i2.2019.355 ◽

2020 ◽

Vol 6 (2) ◽

pp. 47-58

Author(s):

R. Nagarajan ◽

M. Gokulkannan ◽

T. Dinesh ◽

S. Murugesan ◽

M. Naveenprasanth

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Fuzzy Controller ◽

Expert Knowledge ◽

Speed Control ◽

Dc Motor ◽

Fuzzy Rules ◽

Motor Speed ◽

Performance Improvements ◽

Speed Performance

This paper demonstrates the importance of a fuzzy logic controller over conventional method. The performance of the separately excited DC motor is analyzed by using fuzzy logic controller (FLC) in MATLAB/SIMULINK environment. The FLC speed controller is designed based on the expert knowledge of the fuzzy rules system. The proposed DC motor speed control fuzzy rules are designed for fuzzy logic controller. The output response of the system is obtained by using fuzzy logic controller. The designed fuzzy controller for speed control performance is investigated. Significantly reducing the overshoot and shortening the settling time of the speed response of the motor. They validate different control of approaches, the simulation results show improvement in motor efficiency and speed performance.

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Fuzzy Controller Approach for DC Motor Control on Fishing Rod

ACMIT Proceedings ◽

10.33555/acmit.v2i1.5 ◽

2015 ◽

Vol 2 (1) ◽

pp. 20-28

Author(s):

Emmanuel Ade Crisna Putra ◽

Houtman P. Siregar

Keyword(s):

Fuzzy Logic ◽

Transfer Function ◽

Fuzzy Logic Controller ◽

Fuzzy Controller ◽

Fuzzy Rule ◽

Dc Motor ◽

Step Response ◽

Rule Base ◽

Dc Motor Control ◽

Automation Control

In this paper described the usable and effectiveness of automation control by using fuzzy logic controller forcontrolling the speed of DC motor that will be used on string roller of fishing rod. The transfer function of DCmotor has been obtained. For transfer function, the load of DC motor will be acted as input, and the output is thevelocity of DC motor. The fuzzy rule base then created by trial and error. The step response between fuzzy logiccontroller and without using fuzzy logic controller then obtained and compared. As a result, the fuzzy logic hassuccessfully reduced the overshoot of step response.

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Experimental Investigations with Fuzzy Controller for PV Fed DC Motor Incorporating SEPIC Converter as Efficient Power Interface

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.550.110 ◽

2014 ◽

Vol 550 ◽

pp. 110-125

Author(s):

R.L. Josephine ◽

S. Suja

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Fuzzy Controller ◽

Dc Motor ◽

Experimental Investigations ◽

Pv Array ◽

Simulink Model ◽

In Series ◽

Circuit Components ◽

Efficient Power

The design and implementation of solar energy fed power electronic interface using SEPIC converter incorporating fuzzy logic controller for a DC motor has been attempted. The proposed scheme consists of a Photovoltaic (PV) array, a SEPIC DC-DC converter, a PIC microcontroller and a DC motor. The SEPIC converter has been fabricated using IGBT and associated circuit components. A PIC microcontroller has been programmed to automatically vary the duty cycle of the SEPIC converter with fuzzy logic controller depending upon the required speed of the motor. The Simulink model of the proposed scheme has been built using MATLAB/PSB. To test the satisfactory performance of the program written for PIC microcontroller, the program is loaded into the PROTEUS VSM simulator and the waveform of the gate pulses obtained from the simulator using MPLAB coding is studied. After confirming the satisfactory generation of the gate pulses by the simulator, the program is loaded into PIC microcontroller using PIC start plus and gate pulses generated is fed to the DC-DC converter for firing the IGBT. Experiments have been carried out on a 230V, 4.5A, 0.75 kW, 1500 rpm separately excited DC motor and the results are furnished for different load conditions. Various reference speeds have been set and the system automatically adjusts the actual speed of the DC motor close to the set speed. The PV array used in the system consists of the panels connected in series, each panel being rated for 18V and 5A. The comparison of experimental and simulation results show very close agreement between the two thus validating the proposed scheme.

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Optimization of DC motor speed control based on fuzzy logic-PID controller

Analysis and data processing systems ◽

10.17212/2782-2001-2021-3-143-153 ◽

2021 ◽

pp. 143-153

Author(s):

Amer Farhan Sheet ◽

Keyword(s):

Fuzzy Logic ◽

Pid Controller ◽

Fuzzy Logic Controller ◽

Fuzzy Controller ◽

Dc Motor ◽

Fuzzy Rules ◽

Motor Speed ◽

Speed Error ◽

Self Tuning ◽

The Difference

In this paper the PID controller and the Fuzzy Logic Controller (FLC) are used to control the speed of separately excited DC motors. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are adjusted according to Fuzzy Logic rules. The FLC cotroller is designed according to fuzzy rules so that the system is fundamentally robust. Twenty-five fuzzy rules for self-tuning of each parameter of the PID controller are considered. The FLC has two inputs; the first one is the motor speed error (the difference between the reference and actual speed) and the second one is a change in the speed error (speed error derivative). The output of the FLC, i.e. the parameters of the PID controller, are used to control the speed of the separately excited DC Motor. This study shows that the precisiom feature of the PID controllers and the flexibllity feature of the fuzzy controller are presented in the fuzzy self-tuning PID controller. The fuzzy self – tuning approach implemented on the conventional PID structure improved the dynamic and static response of the system. The salient features of both conventional and fuzzy self-tuning controller outputs are explored by simulation using MATLAB. The simulation results demonstrate that the proposed self-tuned PID controller i.plementd a good dynamic behavior of the DC motor i.e. perfect speed tracking with a settling time, minimum overshoot and minimum steady state errorws.

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Application Fuzzy Logic System for Accurate Sheet Trim Shower Position

ACMIT Proceedings ◽

10.33555/acmit.v3i1.43 ◽

2019 ◽

Vol 3 (1) ◽

pp. 186-192

Author(s):

Yudi Wibawa

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Dc Motor ◽

Automation System ◽

Paper Making ◽

System A ◽

Accurate Position ◽

And Performance ◽

Better Than ◽

Logic System

This paper aims to study for accurate sheet trim shower position for paper making process. An accurate position is required in an automation system. A mathematical model of DC motor is used to obtain a transfer function between shaft position and applied voltage. PID controller with Ziegler-Nichols and Hang-tuning rule and Fuzzy logic controller for controlling position accuracy are required. The result reference explains it that the FLC is better than other methods and performance characteristics also improve the control of DC motor.

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