The research aims to develop documented empirical data to obtain a high-accuracy and effective system according to a principal system as a model that represents the system for all expected cases and different working conditions. The current works are simulating a servo motor that works with specifications as a mathematical representation of it down to its representation with a transformation function. The simulation is done for different cases, the first is without a controller, and the other is an operation simulation with a conventional controller that is with a PID controller. The results, through response and accuracy, prove the preference of PID controller systems in the speed of response and high accuracy with the change or different conditions of the system, i.e., working with linear systems. A simulation is being conducted to verify the use of control systems to improve the performance of servo motors. Algorithms of control systems are developed according to designs based on prior experience. Speed and position control are the most common and used in many applications, which created the need to choose them. To overcome fluctuations and obtain a quick response and a high-precision system used, control systems, as the results proved. The research contribution is developing a design for the user control systems also checking them in simulation with the servo motor system using MATLAB. They test them in the servo motor control as well to test their performance experimentally.
Many industrial applications require the use of power electronic devices, which in turn help in overcoming the problems of variable load and fluctuations that occur at the end of feeding. The current study emphasizes that the use of different electric power generation systems with industrial applications needs control devices to work on improving the power quality and performance of systems in which there is an imbalance in the voltage or current due to the change of loads or feeding from the source. The present study also presents a model of a transformer widely used in industrial applications and this work includes simulating a three-phase rectifier by MATLAB. There are four cases in this work HWR (uncontrolled and controlled) and FWR (uncontrolled and uncontrolled) with different loads (R, RL & RC) including full wave type AC/DC using six electronic transformer silicon control rectifier (SCRs) once as well as unified half wave using three electronic transformer silicon control rectifier (SCRs). Simulation results include input, output voltage, and current with the waveform.
Nanocomposites are materials fabricated from two or more materials with different mechanical and electrical properties. Combining these materials produces a new designed material with new and better properties compared to the individual components. In recent years nanocomposites have been developed and employed almost in all industries. The current study deals with fabricating a hybrid nanocomposite ( when there are a minimum of three materials, the composite is called as hybrid composite). Pure aluminium as the base matrix. Iron oxide Fe2O3 (alpha) and aluminium oxide Al2O3 (alpha alumina). Fe2O3 weight percentage (wt.%) is varied (1.5, 2.5 and 5 % by weight) and the wt % of Al2O3 is held constant (2 wt.%). The new designed nanocomposite was produced using Powder Metallurgy (P/M) method. This method has been widely used for fabricating aluminium matrix nanocomposites (AMNCs), due to it is low costs and gives high accuracy as well as the ease of using. The matrix used was aluminium powder with an average particle size of (60µm) with 99.6% purity and Fe2O3 (99% purity and 30 nm particle size) and Al2O3 with (99.5% purity and 14-20 nm particle size ). The experimental results revealed that the microstructure images of composites showed uniformly distributed of Fe2O3 and Al2O3 in aluminium matrix. The maximum compressive strength is 152 MPa in nanocomposite containing (1.5 Fe2O3 + 2 Al2O3) wt.%. The improvement percentage was recorded to be 30% for CS. The real and imaginary components of relative permittivity decrease with increase of frequency. The hysteresis curve of nanocomposites showed that the magnetic properties were improved for all the nanocomposites but the better response of magnetic properties was found with the nanocomposite of (1.5% Fe2O3 + 2% Al2O3) content.
Internet networks are becoming more crowded every day due to the rapid development of modern life, which causes an increase in the demand for data circulating on the Internet. This creates several problems, such as buffer overflow of intermediate routers, and packet loss and time delay in packet delivery. The solution to these problems is to use a TCP/AQM system. The simulation results showed that there were differences in performance between the different controllers used. The proposed methods were simulated along with the required conditions in nonlinear systems to determine the best performance. It was found that the use of optimization Department of Electro-mechanical Engineering, University of Technology - Iraq tools (GA, FL) with a controller could achieve the best performance. The simulation results demonstrated the ability of the proposed methods to control the behavior of the system. The controller systems were simulated using Matlab/Simulink. The simulation results showed that the performance was better with the use of GA-PIDC compared to both FL-PIDC and PIDC in terms of stability time, height, and overrun ratio for a network with a variable queue that was targeted for comparison. The results were: the bypass ratio was 0, 3.3 and 21.8 the settling time was 0.002, 0.055, and 0.135; and the rise time was 0.001, 0.004 and 0.008 for GA-PIDC, FL-PIDC and PIDC, respectively. These results made it possible to compare the three control techniques.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.