Development of a DC-DC buck boost converter using fuzzy logic control

A fuzzy controller of DC-DC Buck-boost converter is designed and presented in this project. In order to control the output voltage of the buck-boost converter, the controller is designed to change the duty cycle of the converter. The mathematical model of buckboost converter and fuzzy logic controller are derived to design simulation model. The simulation is developed on Matlab simulation program. To verity the effectiveness of the simulation model, an experimental set up is developed. The buck-boost circuit with mosfet as a switching component is developed. The fuzzy logic controller to generate duty cycle of PWM signal is programmed. The simulation and experimental results show that the output voltage of the buck-boost converter can be controlled according to the value of duty cycl

Rancang Bangun Farming Box Dengan Pengaturan Suhu Menggunakan Fuzzy Logic Controller

Implementation of control systems has been carried out in many fields of science. One of it applications is in the agriculture fields. In this research we implemented a control system on farming in a box. Farming in a box is a system that uses old shipping containers for the purpose of growing plants in any environment. Inside shipping containers is fully assembled hydroponic pipe with air temperature control. In this research was built a little farming box from acryclic to imitate a shipping container. Main focus of this research is design an air temperature control using fuzzy logic controller. Fuzzy logic controller was choosen because many existing farming box use on off controller. In some application, fuzzy logic controller has better performance than on off controller. Farming box temperature is controlled by blowing cool air using an electric fan. In this case, cool air is produced by cold side of peltier. Electric fan speed is controlled by pulse width modulation signal (PWM) that generated from microcontroller. Air temperature data feedback is obtained from DHT 11 sensor that installed in a acrylic box. Sensor is physically connected with microcontroller and Fuzzy logic controller is embedded in microcontroller as an algorithm. Fuzzy logic controller was design with error temperature and error difference as an input, and duty cycle of PWM signal as output. Fuzzy logic controller system performs to reduce the temperature from 31,6 ° C to set poin 28° C in 71 seconds. Steady state error obtained by 1.28% and better than uncontrolled system that obtain steady state error 7,14%

INTELLIGENT PWM TECHNIQUE FOR VOLTAGE CONTROL OF DC-AC INVERTER

The purpose of this project is to intelligently use various Pulse Width Modulation (PWM) techniques for voltage control of DC-AC inverter. In this project, various PWM techniques are analyzed to see the difference between each of the technique. Then, fuzzy logic controller is chosen as a control scheme to control the output voltage of the inverter. The scopes include the simulation of various PWM techniques using MATLAB/SIMULINK, modeling and simulation of the PWM inverter, modeling and simulation of fuzzy logic controller (FLC) feed into PWM inverter, and finally the detail analysis on the output waveforms based on the simulation. Different PWM techniques will result in different value of peak voltage and different level of harmonics. Therefore, the right choice of the PWM technique is crucial in designing the inverter. Instead of using a conventional controller, this project was about to introduce the ability and also the advantages of the FLC to intelligently control PWM’s pulses in inverters application. This project is a comprehensive research study about various PWM techniques to control. This project results in a number of ways to control the PWM inverter by using FLC that can suit with a lot of industrial applications. For future work, it is highly recommended to use Artificial-Neural Network (ANN) as a control scheme to control output voltage of an inverter, and compare the results between ANN and FLC

FPWM TECHNIQUE BASED CONVERTER FOR IM DRIVES

This article presents an improved pulse width modulation (PWM) based on fuzzy logic (FL) of induction motor (IM). The major problem that is usually associated with PWM technique is the high total harmonic distortion (THD), stator flux ripple and electromagnetic torque ripples. To overcome these problems a PWM strategy is proposed based on the fuzzy logic controller (FPWM). The fuzzy proposed controller is shown to be able to reduce the THD of stator current, electromagnetic torque ripple and stator flux ripple. The simulation results are shown by using MATLAB/SIMULINK software

RANCANG BANGUN SISTEM PENGATURAN KECEPATAN COOLPAD MENGGUNAKAN SISTEM KONTROL LOGIKA FUZZY

In general, additional laptop cooler (coolpad) works with only the supplied voltage of 5 volts from the USB. This may be less effective because the laptop battery will quickly run out because not all laptops used at maximum performance. From the basic idea in this final project coolpad speed settings (additional laptop cooling) using fuzzy logic control. To determine the temperature of which is under the laptop, then used a temperature sensor LM35. Data from the ADC temperature sensor is inserted into the microcontroller as an input fuzzy logic control. Once processed by the fuzzy logic results of the calculations used as an output as the motor speed controller. To manage speed, used PWM. Set point that is used is 33 degrees centigrade. Large range of detected temperature is between 30-42 degrees centigrade. Keywords: Fuzzy logic, LM35, PWM

DC Motor Speed Control Using Mamdani Fuzzy Logic Based on Microcontroller

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

Sensorless stator field orientation controlled induction motor drive with a fuzzy speed controller

AbstractA sensorless stator-field oriented control induction motor drive with a fuzzy logic speed controller is presented. First, a current-and-voltage parallel-model stator-flux estimator is established using measured phase currents and voltages of the induction motor. Then the estimated rotor shaft position is obtained from the magnitude and position of the estimated stator flux. The speed controller is developed by utilizing fuzzy logic control techniques. The control algorithms are realized by a DSP 6713 and, using a DSP F2812 to generate PWM signals to the power stage, drive the motor to experimentally validate the proposed approach

Simulation of Three-Phase Induction Motor Control Using Fuzzy Logic Controller

A fuzzy logic controller has been developed and simulated on an indirect vector control of an induction motor (IVCIM) drive system. The objective of the indirect vector control is to convert the three-phase induction motor into a linear device where the torque and the flux in the motor can be controlled independently. The induction motor is fed by a current-controlled PWM inverter. The proposed fuzzy speed controller block in a vector controlled drive system observes the pattern of the speed loop error signal and correspondingly updates its output, so that the actual speed matches the command speed. The design of the fuzzy controller starts with identifying the inputs, performing the membership functions for the two inputs of the FLC and ends at manipulating the final command signal to the current regulator which triggers the inverter.The fuzzy logic toolbox has been used to build the fuzzy inference system (FIS) which is the dynamo of the fuzzy logic controller. The proposed FLC controller has been designed to meet the speed tracking requirements under a step change in speed and load changes. The proposed FLC drive dynamic performance has been investigated and tested under different operating conditions by simulation in the SimulinMMatlab software environment. In order to prove the superiority of the FLC, a conventional PI controller based IM drive system has also been simulated. The simulation results obtained have proved the very good performance and robustness of the proposed FLC. It is concluded that the proposed fuzzy logic controller has shown superior performances over the conventional PI controller