The goal of this work is to design a high-efficiency photovoltaic system (PV) with a fuzzy logic controller. This PV system consists of a PV panel, DC/DC Buck-Boost converter with a 24V DC load, and a fuzzy logic controller. Because the efficiency of normal solar PV modules is very low, we implemented the fuzzy logic controller. In this paper, we have proposed a system that is designed and simulated in MATLAB Simulink. In the fourth section of the paper are shown obtained results which show that using the fuzzy logic controller for photovoltaic systems has better performance. This controller can facilitate the PV array to reach the MPPT faster and provide more stable output power.
The surveillance system has been utilized over the years on public property in order to provide security and prevent unauthorized entrance. Lately, more private homeowners are choosing to implement security systems. There are many problems with the video surveillance system. These disadvantages are the indistinctiveness of the pictures/video and the need for a lot of storage space to save surveillance information. This paper describes the design and implementation of a low-cost Web Monitoring System based on Raspberry Pi. Also, a web application is designed for the purposes of controlling the camera and for live streaming. The live stream from a web camera can be viewed from any web browser, even mobile, in real-time. Controlling the camera is possible with the web application using four commands (up/down, left/right). Also, the camera moves depending on the detection of an object located in the visible area of the PIR Motion sensor, thereby issuing a warning message about object detection.
Bilateral teleoperation has attracted significant research and application interests in a wide range of areas. The first and main use for bilateral teleoperation was to handle the dangerous and remote distance tasks such as space exploration and nuclear materials manipulation. In the past few years, bilateral teleoperation has found its way into other applications as a result of the development of control technologies and the latest breakthrough in artificial intelligence and machine learning. In this paper, the goal is to model bilateral teleoperation for direct control, PID control, and Fuzzy Logic control for the water tank system. The goal is to create a simulation for master-slave communication where the time delay is minimized to the optimal and accepted values. The experimental results obtained from the simulation show a fairly high accuracy in terms of all three ways of control modes, which highlights the effectiveness of the proposed system in the paper.
Nowadays, automatic systems are using in more spheres of industry, and in this way, human intervention is avoided and used as minimally as possible. In the chicken poultry industry, the use of mother hens is transferring to automatic egg incubating systems. Such systems are helpful for the farmers to incubate the eggs automatically without the need for human intervention. These systems work by keeping the physical quantities, temperature and humidity, at the optimal level. In that way, the fetuses inside eggs are growing without the presence of the mother hen. The egg incubating systems not only improve poultry production considerably but also help in the regularity of income making, enabling the farmers to be able to get transition into possible rural entrepreneurship. This paper describes the design and implementation of a fuzzy control system for egg incubating based on IoT technology. The microcontroller is programmed to work as a fuzzy logic control system for controlling microclimate conditions in the egg incubator to keep the conditions for different eggs type optimal. Informations from the temperature and humidity sensors are sent wirelessly to the cloud. Also, the implemented egg incubating system enables automatic tracking of the remaining days until hatching chickens. In this way, remote monitoring, from any location, of microclimatic conditions inside the egg incubator is enabled. For the experimental work analysis of the implemented egg incubating system, the egg incubator is made. Based on the results of the experimental work analysis can be seen that the egg incubating system works well and that it helps with improving poultry production.
With the development of modern technology, smartphones have become a necessity for most people. Among other uses, mobile phones are increasingly being used in smart home systems. In smart homes, mobile phones are used to remotely control and monitor various systems such as simply turning on/off lights and household appliances, various monitoring systems, etc. Nowadays, sending coded messages or pressing application buttons is increasingly being avoided in process of developing smart systems. More and more frequently is used voice commands. The system which uses voice commands for remote control and monitoring smart home is described in this paper. In the implemented system, the user is able, using specific voice commands to remotely control the operation of various appliances in his home. An Android application was designed to control the implemented system. Using the designed Android application, the user controls the desired home devices with specific voice commands. Also, on the designed Android application are buttons that the user can use, in case the user’s voice is not recognized in the implemented system. For experimental work analysis, the model of the home is made with lights and different home appliances inside. The results of the experimental work analysis of the implemented system show this system is very simple to use and very efficient. Also, the latest technology for remote control and monitor smart systems is applied in the proposed smart home system.
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