Publications
Electrical Hybrid Braking Technique in Wind Turbine Uncontrolled Speed Overcoming
Sep 21, 2022Journal Journal of Engineering and Applied Sciences
Publisher Mak Hill Publications
DOI DOI: https://doi.org/10.36478/jeasci.2019.8425.8430
Issue 22
Volume 14
Wind energy can operate big turbines and hence, helps to produce of electrical power. It is a green energy and far less expensive than traditional sources of energy. Wind turbines are encountered with several issues due to their deployment in harsh environments where they are highly susceptible to wind storm and other environmental fluctuation. The windmills are designed to work under particular conditions and it need to be isolated in otherwise. Braking system is vital to windmills life and hence, it need to be selected carefully. This study discusses the technical norms of selecting the brake system that halt wind turbine during uncontrolled conditions such as high speed of wind. Furthermore, the effects of speed on the power quality is also discussed.
Design of a Remote Control of Home Automation using Android Studio
Oct 5, 2020Journal Solid State Technology
Publisher Referred Journal
Issue 6
Volume 63
The growing of technologies made life smooth and more comfortable. Home Automation is an essential step in life for automating a different electrical instrument according to environment status. This paper presents an automated technique can be applied in any building or organization (home, hotels or hospitals, etc.) for controlling several devices remotely, by sending SMS messages to avoid touching the buttons of the electronic devices in hotels or schools or any public places because of spreading corona virus. Therefore, the aim of this research is designing a smart, easy-to-use, and secure home automation app in smart phone and can be controlled too by a computer. The proposed system is maintainable and called as remote control home automation (RCHA) app. Through developing the proposed system Arduino Uno, GSM SIM900, Temperature sensor, Humidity sensor, and Smartphone are used with Android Studio (Ver3.1.0) application developer with Asiacell operator (Iraqi Telecommunications Company). In the proposed system, the devices controlled by a smart mobile are a lamp, fan, split unit, refrigerator and it can easily add other electronic devices. Finally, the proposed system will provide people a new smart style of living according to environment status.
Damping Inter-Area Oscillations by Coordination of 3PSS and UPFC Using PSO
Oct 30, 2018Journal Al-Kitab Journal for Pure science
DOI DOI: 10.32441/kjps.v2i1.140
Issue 1
Volume 2
Power System Stabilizer (PSS) is one of the most used controllers in the local generations, primarily it aimed to suppress local mode of oscillations. On the other hand, the Unified Power Flow Controllers (UPFC) the most versatile member of flexible alternating current transmission system devices to simultaneously control real and reactive power flows on transmission lines, as well as regulate selected bus voltage. Each of these controllers, on their own, can show satisfactory performance to enhance power system stability. However, when they utilized together, their dynamic performance can degrade due to controller interaction, that should be strategically optimized. In this paper, the coordinated design of pss's and upfc is realized to damp inter-area oscillations in two-area power system using particle swarm optimization (PSO) method. The simulated cases in Matlab environment show that the interaction of pss's and upfc can be optimized, so the inter-area oscillations can be effectively mitigated following after fault, the simulation results of the uncoordinated design are also presented.
Position Control of Solar Panel Receiver by Joint Generated Power and Received Signal Power Maximization
Sep 1, 2018Journal Tikrit Journal of Engineering Sciences
DOI DOI: http://dx.doi.org/10.25130/tjes.25.3.05
Issue 3
Volume 25
The use of solar cells as photodetectors in Optical Wireless Communications (OWC) systems, is acquiring an increasing attention. This is due to the fact that a solar cell can detect an incident optical signal without the need to be biased by an external dc source, unlike traditional photodetectors. Basically, solar cells are designed to be used in solar energy harvesting systems. However, the solar cells are used during the day time and they remain idle at night. Then, they can be used in other applications, such as optical signal detection during night hours. Moreover, the efficiency of solar systems and solar receivers can be maximized by using dual axis light source tracking, to keep the cell orientation at the direction that results in the maximum electrical output. Therefore, in this paper, a solar cell positioning algorithm is proposed to track the maximum power point of both of the sun at day time and the optical communication signal at night. The proposed system can automatically distinguish between its two operation modes and then provides the necessary control. The proposed system is implemented and tested under realistic outdoor environment. It showed an accurate detection of the operation situation and also an accurate and smooth positioning during the specific operation mode. The measurement of the generated and consumed power by the designed system has emphasized it feasibility.
Design of Fractional Order PID Controller Based Particle Swarm
Dec 1, 2014Journal Diyala Journal of Engineering Sciences
Publisher College of Engineering, University of Diyala
DOI https://doi.org/10.24237/djes.2014.07402
Issue 4
Volume 7
Fractional order PID (FOPID) controller is a special kind of PID controller whose derivative and integral order are fractional rather than integer which has five parameters to be tuned. This paper presents study of the implementation of tuning method and performance enhancement of the closed loop system by use of the fractional order PID (PIλDμ) controller utilizing a MATLAB/Simulink. The tuning methods for these type controllers have many mixed tools of the available optimization methods and update artificial optimization methods in the design. In this paper particle swarm optimization has been implemented to design FOPID controller in which the unknown parameters are determined minimizing a given integral of time weighted absolute error (ITAE). The main specification of this paper is that the all five parameters of (PIλDμ) have been found directly without spreading the steps. It has been shown that the response and performance of the closed loop system with FOPID controller is much better than integer order PID controller for the same system and with better robustness.
Digital Fractional Order PID Controller Design And Realization
Sep 1, 2014Journal Al-Rafidain Engineering Journal (AREJ)
Publisher University of Mosul
DOI https://doi.org/10.33899/rengj.2014.100848
Issue 4
Volume 22
In this paper a special kind of PID controller has been designed and implemented which is called fractional order PID (FOPID) controller whose derivative and integral are fractional rather than integers. The FOPID controller has five parameters which have been tuned by using an intelligent particle swarm optimization (PSO) algorithm by minimizing the fitness function given as integral of time weighted absolute error (ITAE). The digital fractional order PID (DFOPID) controller in discrete time with suitable sampling period has been attained utilizing special approximation method called continued fraction expansion (CFE) that lead to convert the s domain transfer function into z domain using MATLAB tools. As a case of study the DFOPID controller has been designed and realized by software in C language on PIC microcontroller for DC motor as a position control. The results showed software fulfillment of DFOPID, with alike time domain performance of closed loop system for both continuous and discrete.
Design Optimal Fractional Order PID Controller Utilizing Particle Swarm Optimization Algorithm and Discretization Method
Aug 25, 2013Journal International Journal of Emerging Science and Engineering (IJESE)
Publisher Blue Eyes Intelligence Engineering & Sciences Publication
Issue 10
Volume 1
In this paper particle swarm optimization algorithm has been applied todesign fractional order PID (FOPID)controllerwhich has five unknown parameters to be tuned anddetermined by minimizing a given integral of timeweightedabsolute error (ITAE) as a fitness function. The FOPIDcontroller is a special kind of PID controller whose derivative andintegral order are fractional rather than integer which has fivetuned parameters.The closed loop systemfor a plant cascadedwith the fractional order PID (PIλD µ ) controller has been builtutilizing a MATLAB/Simulink with applicationof intelligentoptimization algorithm (PSO) asa sub program. The parameters of the PIλD µ controller found and injected to the controller structure. Themain specification of this method is that the all five parameters of PIλD µ controller have been found directly without spreading the steps ofcomputation. The results showperformance of the closed loopsystem with FOPID controller is much better than integer orderPID controller for the same system and with better robustness.ThePIλD µ controller converted to z domain and programing toPIC microcontroller using new PIC Development Board. Keywords: Fractional calculus,fractional order controller, fractional order toolbox for MATLAB, MATLAB Simulink, PSO algorithm, continued fractionexpansion(CFE), programing in C,PIC microcontroller.