Celem artykułu jest zaprojektowanie i wdrożenie praktycznej realizacji układu sterowania ramieniem robota. Ramię robota składa się z wielu silników krokowych sterowanych przez programowalny sterownik logiczny (PLC). Stosowane są trzy rodzaje metod wzbudzania krokowego, którymi są: jednofazowe włączone, dwufazowe włączone i jedno-dwufazowe włączone do obsługi silników krokowych. Przemieszczenie kątowe, prędkość kątowa i kierunek (dwukierunkowy) silników krokowych są obsługiwane w każdej z tych metod. LOGO Siemensa! 8 24 CE został wykorzystany w tej pracy. Język Diagram blokowy funkcji jest używany do realizacji proponowanego systemu sterownika PLC za pośrednictwem programu środowiskowego „LOGO! Soft Comfort wersja 8.2”. Instrukcje kierunku oraz wartości przemieszczenia kątowego i prędkości kątowej każdego silnika używanego w ramieniu robota są obliczane i wyświetlane lokalnie na cyfrowym wyświetlaczu sterownika PLC. Dodatkowo zintegrowany serwer WWW, który umożliwia zdalne monitorowanie na smartfonie, co wymaga połączenia z routerem LOGO!. Ten artykuł podkreśla łatwość, z jaką można sterować silnikami krokowymi przy użyciu dowolnej metody wzbudzania krokowego opartej na sterowniku PLC. Korzystanie z PLC pozwala zaoszczędzić elementy elektroniczne używane w obwodzie napędowym, ponieważ niskie wymagania dotyczące obwodu interfejsu łączącego PLC i silnik krokowy są używane, co obniża koszty i zwiększa ogólną niezawodność sterownika. (Projekt kontrolera ramienia robota przemysłowego oparty oPLC)

Stepper Motors (SMs) are precise and exact in generating discrete stationary angular revolutions, and for these reasons it has recently been used in Robotic Devices. This paper introduces a design and implementation of three methods to control a two SMs using Programmable Logic Controller (PLC). These methods are: wave, half, and full Stepping Excitation Method (SEM). The speed, number of rotations, and direction (Bidirectional) of SMs are manipulated in each one of these methods. Experimentally, Siemens LOGO! 230 RC (as a basic PLC unit), with the aide of Digital Module LOGO! DM8 230R (as an expansion module) has been used in our work. LOGO! Soft Comfort Version 8.2 has been used to build our algorithms for the speed, displacement of rotations, and direction control of SMs. Function Block Diagram (FBD) semantic design program is employed to achieve the proposed PLC controller programs for SMs. This paper highlights the simplicity of possibility to control the SMs by using any type of the SEMs based on PLC . Using the PLC will save electronic components used in the drive circuit because it is not required any interface circuit linking the PLC and the SMs, as a result this will minimizing the cost and develop the whole reliability of the controller.

In recent years,there has been an urgent need in world for electricity. It has being increased constantly with the expansion of energy consumption via traditional energy sources which are depleting. The world has needed to turn to alternative energy, which is represented by renewable energy. The most important and most efficient of these is solar energy, and to get the maximum value of this energy with the highest efficiency, there should be direct monitoring of the performance of these solar panels. So, in this study, the Internet of Things (IoT) was used as a remote monitoring system to obtain the main factors like load current, terminal voltage, consumption power, temperature, humidity, and light intensity. The values were real and accurate, depending on the use of Adriano and sensors to measure the above-mentioned determinants and then using Wi-Fi technology to send the data that was processed in the circuit. Then the thing speak platform was used to display, analyze, and store the results in real-time

The Applications of a Fuel cell (FC) in the field of the electric vehicle has realized wide popularity since the past few years because of the problem of relative increases in fossil fuel prices in addition to depletion of this fuel. The objective of this study is to design DC drivers based on DC-DC buck converter for separately excited DC motor as a traction motor used for an electric vehicle. This motor is fed by Polymer Electrolyte Membrane (PEM) FC as a renewable energy source. Many control strategies are implemented to produce the suitable gating signal for the buck converter and get the best motor operation response which where Proportional Integral (PI) controller, Fuzzy Logic (FL) controller, and FL based self-tuning PI controller. The proposed FC power system is modeled and simulated using Matlab-Simulink and Fuzzy toolbox. The performance and accuracy of the proposed algorithm have been investigated in different situations. The simulation results showed that the speed response of the DC motor controlled by the FL based self-tuning PI controller had improved the performance (overshoot, rising time, settling time and steady-state error) when compared to the typical PI controller, and FL controller.

In the current period, the solar energy system has become the most important source of renewable energy, such as wind, fuel cells, and others. The need for In the current period, the solar energy system has become the most important source of renewable energy, such as wind, fuel cells, and others. The need for

This research focuses on the design and analysis of a seven multilevel cascaded H-Bridge CHB inverter system, with particular emphasis on its control mechanism implemented using Field-Programmable Gate Array (FPGA) behavioral modeling, very high speed integrated circuit hardware description language (VHDL) code, which is created and verified with the Xilinx Integrated Synthesis Environment ISE 14.7 software. The proposed system employs seven cascaded H-Bridge inverters to achieve higher voltage levels and better waveform with lower Total Harmonic Distortion (THD) compared to traditional inverters. To demonstrate this concept, the entire system has been examined and simulated using the MATLAB/Simulink software package. Different values of THDs, Vrms and voltage waveforms have been achieved. The experimental values were compared with that achieved in simulation, and the comparison proved that the results meet the expectations.