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All Journal Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) International Journal of Robotics and Control Systems Journal of Fuzzy Systems and Control (JFSC)
Salam Waley Shneen
Huazhong University of science and Technology
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Reduction of Large Scale Linear Dynamic MIMO Systems Using Adaptive Network Based Fuzzy Inference System Oudah, Manal Kadhim; Shneen, Salam Waley; Aessa, Suad Ali
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1684

Abstract

Large Scale Multiple Input Multiple Output (MIMO) technology is a promising technology in wireless communications, and it is already at the heart of many wireless standards. MIMO technologies provide significant performance improvements in terms of data transfer rate and reduction the interference. However, MIMO techniques face large-scale linear dynamic problems such as system stability and it will be possible to overcome this problem by tuning the proportional integral derivative (PID) in continuous systems. The aim of this paper is to design an efficient model for MIMO based on Adaptive Neural Inference System (ANFIS) controller and compare it with a traditional PID controller. and evaluated by objective function as integral time absolute error (ITAE). ANFIS is used to train fuzzy logic systems according to the hybrid learning algorithm. The training involves the fuzzy logic parameters through simulating the validation data to represent a model to know the correctness and effectiveness of the system. It is optimizes the system performance in real time, however, to avoid potential problems such as easy local optimality. In the proposed approach stability is guaranteed as the initial steady-state scheme. ITAE is combined with ANFIS to minimize the steady-state transient time responses between the high-order initial pattern and unit amplitude response. The proposed ANFIS self-tuning controller is evaluated by comparing with the conventional PID. MATLAB simulink is used to illustrate the results and demonstrate the possibility of adopting ANFIS controller. The simulation results showed that the performance of ANFIS controller is better than the PID controller in terms of settling time, undershoot and overshoot time.
Improving TCP/AQM Network Stability Using BBO-Tuned FLC Nadhim, Rasha F.; Oudah, Manal Kadhim; Aziz, Ghada Adel; Shneen, Salam Waley
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1761

Abstract

One of the modern technologies used to improve the performance of various systems, including communications networks and the Internet, is the technology based on biogeography (BBO) that many researchers in the field of automation and control have shed light on. Fuzzy logic is one of the expert systems that has dealt with its use in control systems by many researchers within different applications. The current work has shed light on the mechanism of using The Biogeography Based-Optimization (BBO) technique for adjusting FLC parameters is called (BBO-FLC). The simulation was performed using Matlab program and the researchers adopted the technique as part of the stability of TCP network. The performance of the techniques used in the optimization process can be identified by comparing the results of each case, such as the proposed technique, with other types represented by the traditional control type Proportional–integral–derivative controller (PID). The possibility of using modern and intelligent optimization techniques for the optimal controller is tested using a tuning process for the parameters of the fuzzy type expert controller with the help of the biogeography-based optimization (BBO) technique. The contributions of the research are to verify the possibility of improving the performance by comparing the behavior of the system for the proposed test and simulation cases by obtaining the prescribed level and without exceeding the permissible values.
GWO-PID of Two-phase Hybrid Stepping Motor for Robotic Grinding Force Abdullah, Fatin Nabeel; Aziz, Ghada Adel; Shneen, Salam Waley
Journal of Fuzzy Systems and Control Vol. 1 No. 3 (2023): Vol. 1, No. 3, 2023
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v1i3.91

Abstract

The use of the computer program MATLAB is prominent in many studies that simulate many industrial systems. The current simulation aims to build a suitable simulation model representing the Two-phase Hybrid Stepping Motor (2Ph-HSM). This type of motor is employed in a specific application to produce a force called automatic grinding force. To control the force, motor speed, and location, we need to add control systems, so two methods have been proposed, one of which is traditional, namely proportional, integral, and derivative (PID) control and the other is intelligent, called Gray Wolf Optimization (GWO). The current work also aims to use traditional control algorithms and advanced optimization algorithms that were chosen for their ease of control and possibility of use in many industrial applications. By setting appropriate specifications for the simulation model and after conducting prescribed tests that simulate different applications of the motor’s work within electrical systems, the results demonstrated good motor performance, better response, and high accuracy, in addition to speed. The goal is to design and tune a proportional, integral, and derivative (PID) controller by gray wolf optimization (GWO) using the transfer function (TF) of a 2Ph-HSM. To adjust the parameters of conventional controllers using advanced optimization, a suitable mechanism and technique were selected from advanced optimization techniques, where the gray wolf technique algorithm was chosen as an optimization technique and Integrated Time Absolute Error (ITAE) to adjust the parameters of conventional PID controller.
Study and Analysis of PWM with DC-DC Converter for Inverting Buck-Boost Inverter Topology Gaber, Rajaa Khalaf; Shneen, Salam Waley; Jiaad, Suaad Makki
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1823

Abstract

The simulation aims to study and analyze the effect of the duty cycle on the output voltage and signal reflection. This type of simulation is important for many practical applications of inverter boost converters, such as renewable energy systems or portable electronics. A voltage converter is being developed to generate a negative voltage output, i.e., it has the ability to invert the output signal. The converter's input is connected to a DC voltage source, and is intended to generate a higher or lower voltage, depending on the application requirements, while maintaining the inverting output signal. This converter is used in many fields, most notably those powered by batteries, such as portable devices, where the required voltage varies depending on the load. Converters regulate and provide a stable and suitable voltage for the batteries. A study and analysis of these converters will address these challenges by building and designing a simulation model to generate a voltage suitable for covering the load or charging the batteries, operating efficiently and reliably under various operating conditions. Its effectiveness can be verified through proposed tests covering operating conditions suitable for real-time operation. The first contribution is to verify the possibility of changing the converter output signal to the same value as the converter output voltage during the pulse generator duty cycle (50%). The second contribution is to verify the possibility of increasing the value of the converter output voltage in the pulse generator duty cycle (70%) or decreasing the value of the converter output voltage in the pulse generator duty cycle (20%). The results demonstrated the effectiveness of the proposed model and the possibility of changing the output voltage value with changing the output signal.
A Study of Simulation and Modeling of Three-Phase Electric Transformers Shneen, Salam Waley; Oleiwi, Fadhil Mahmood; Dahloos, Jaber. O.
Journal of Fuzzy Systems and Control Vol. 3 No. 2 (2025): Vol. 3, No. 2, 2025
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v3i2.308

Abstract

Under the title “A Survey of Simulation and Modeling of a Three-Phase Electric Transformer,” the present work presents a proposed modeling and simulation process for two types of step-up and step-down transformers. To design and build the model, a suitable transformer specification must be established through mathematical representation. To conduct tests using MATLAB, the proposed tests are conducted for both step-up and step-down cases by varying the number of turns in the primary and secondary windings to a step-up ratio of up to ten times, from 300 V to 3000 V, and step-down to 150 V. Transformer considerations for both step-up and step-down cases include maintaining the number of turns in the primary winding at 100 turns, while for step-up, we use the number of turns in the secondary winding at 1000 turns, to obtain ten times the input voltage at the transformer output. In the second test case, the input voltage is 300 V, and the primary coil has 100 turns. Changing the secondary coil from 1,000 turns to 50 turns halves the transformer's input voltage, resulting in a voltage of 50 V. A set of tests can be tabulated to represent different cases suitable for multiple transformers that can be built for the same prototype, as well as to serve as a reference for future studies.
Study and Analysis of Adaptive PI Control for Pitch Angle on Wind Turbine System Ibrahim, Luay G.; Shneen, Salam Waley
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1850

Abstract

In the current work, a study is proposed using the engineering program MATLAB through computer tests of a simulation model for modifying the tilt angle in wind turbines, with a study of the effect of changing the angle of the wind turbine on the mechanical energy resulting from changing wind speed. Variable wind speeds reduce turbine efficiency; pitch control mitigates this. A PI-based pitch controller adjusts blade angles to maintain optimal ?.20 kW model achieved 15% higher power output at variable speeds. ? (tip-speed ratio) and Cp, ? the ratio of blade tip speed to wind speed, determines turbine efficiency. Unlike prior fixed-speed models, our variable-speed design adapts to turbulent winds via real-time pitch adjustment. This approach aids in stabilizing grid integration for renewable energy systems. While pitch control improves turbine efficiency, existing studies lack real-time adaptive strategies for variable wind speeds. our work optimizes pitch angles dynamically using MATLAB simulations. We propose a data-driven pitch control model for 5 kW and 20 kW turbines, validated under turbulent wind conditions. This study aims to maximize power output by correlating pitch angle (?) and tip-speed ratio (?) via MATLAB simulations. As a research contribution, the turbine characteristic curve is examined, as changes occur with changes in lambda, and the Cp Max is obtained at the optimal lambda. Assuming that beta is chosen from the curves to determine how it changes and its effect on operation at a given Cp, a given lambda is determined from the curve. Torque can be recognized as the first variable, both mathematically and physically. A change in torque affects speed, and thus affects lambda. Since there is a relationship between turbine speed and wind speed with lambda, turbine speed also depends on mechanical speed. The aim of the study is to design and build a simulation model using a mathematical representation of a wind turbine to study the effect of tilt angle control on handling changes in wind speed. The research contributions include the design of two models: one with a capacity of 5 kW and the other with a capacity of 20 kW. The first model uses a constant speed, while the second uses a variable wind speed. To stabilize the output at rated power, the turbine is angled. Using the wind turbine simulation model and some proposed tests, we can determine the behavior of the system as speed changes.
Performance Enhancement of BLDC Motor Drive Systems Using Fuzzy Logic Control and PID Controller for Improved Transient Response and Stability Abdullah, Zainab B.; Shneen, Salam Waley; Dakheel, Hashmia Sharad
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1882

Abstract

Currently, systems generally need control units, which requires designing them to analyze the behavior of the system when there are suitable characteristics of the motor according to the required application. The electric motor is very important in many applications and is widely used because of the high-efficiency mechanical power, small sizes, and relatively high torques that these electrical machines have. Improving the performance of systems requires control units, which are of the types of traditional PID, expert Fuzzy, and intelligent control systems. Two systems were proposed, a system that relies on a traditional control unit and a system that relies on fuzzy logic to improve and raise the efficiency of performance and handle system fluctuations resulting from disturbances and different operating conditions. Simulation tests were conducted using MATLAB. The effectiveness of the proposed controllers is evaluated through measurement criteria including efficiency improvements, torque ripple reduction, or settling time. Simulation results for both the closed-loop system using the conventional controller and the expert controller showed that the improvement in system performance can be determined according to criteria that include response speed as well as the overshoot and undershoot rates. Specifically, the settling time using the conventional controller was 3.05 msec. The rise time using the conventional controller was 205.406 msec, while using the expert controller it was 205.406 msec. The overshoot rate (%) using the conventional controller was 18.452%, while using the expert controller it was 6.989%. The undershoot rate using the conventional controller was 6.633%, while using the expert controller it was 1.987%.
Design and Implementation of Proportional-Integral Controller for Single Phase Stand-Alone Inverter with an LC-Filter Kareem, Tamarah; Shneen, Salam Waley; Al-Abbasi, Mohammed
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1876

Abstract

Obtaining a sine wave from a DC source using an inverter and a filter is a challenge that requires a suitable design to meet load requirements as operating conditions change. This work aims to develop a suitable design for an LC-type pass-through filter and a suitable design for a conventional controller. A simulation model for the implementation and operation of a single-phase standalone inverter is being developed and designed using Matlab. In this work, the researchers demonstrate the behavior of a simulated system using a single-phase inverter model connected to a 400 V DC power supply. An LC-type filter is also connected to the inverter and the load. Tests are conducted to determine the system's behavior under various conditions. The researchers are interested in changing operating conditions, and the problem of load variations, on the one hand, and transients and the system's return to a steady state, on the other. The researchers propose one method for overcoming system fluctuations using a conventional controller (PI controller). Tests can cover identifying system behavior, and from there, using the controller, an appropriate reference voltage can be set to supply the load. The proposed model consists of a power supply, four IGBT transistor switches to build a single-phase bridge inverter, a filter with an inductor (4.06e-3H) and a capacitor (6.23e-6F), as well as a reference voltage of 200V and 300V, and a load of 55? and 100?. A suitable conventional microcontroller (PIC) is also designed. The feasibility of providing a sine wave with the proposed reference voltage has been verified, proving the feasibility of the model and its potential for future use. Matlab was used to conduct simulation tests of the proposed model, and high performance, accuracy, and quality were obtained at a level suitable for real-time applications.
Design and Implementation of PID Controller for Phase Shifted Full Bridge DC-DC Converter Ibrahim, Luay G.; Shneen, Salam Waley
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13814

Abstract

The study aims to evaluate the converter's operation and how to improve it, and to discuss the performance and behavior of the system in transient and steady states. Phase shifted full bridge DC-DC Converter (PSFB), converter is one of the most popular isolated converter, which is widely used in many applications. So today we are discussing its working, design and MATLAB simulation. converters are used frequently to step down high dc voltages to lower voltages. It also provides isolation between input and output stages. it is major application includes, server power supply, telecom rectifier, battery charging system and renewable energy systems. This is the basic structure of a full bridge DC-DC Converter. we have a dc voltage source at the input. there are the power electronic switches, which can be either MOSFET or IGBT. this is a high frequency transformer. used for the isolation between input and output stages. it also provides the required voltage gain. an inductor is used to limit the output current ripple, and a capacitor used as the filter to regulate the output voltage. To meet the necessary demand, in addition to regulating the quality of electrical power to address the changes and fluctuations in the system caused by various factors, the output of the converters is enhanced by developing a model design through simulation to provide the appropriate voltage, current, and power to cover the required load. Industrial applications are among the most important industries that employ and use electronic power converters, including the DC-DC converter, especially the PSFB. Among these applications are charging systems for storage units in electricity generation systems from renewable energies, including solar or wind energy, with a DC generator. It can also be part of a lighting system or microgrids, as this converter is characterized by high efficiency in performance, quality, and reliability, and has the advantage of a wide range at high frequencies. The PSFB converter consists of a DC source to supply a DC load, connected to an inverter on the source side and a filter on the load side, with a rectifier between them. The rectifier is a bridge type of four diodes, the inverter is a bridge of four MOSFET transistors, and the LC filter consists of a coil and a capacitor. Among the areas that require a wide frequency range are communications systems, which is one of the most important applications and areas of use for this converter.
Analysis of Improve Performance and Dynamics of an Induction Motor using an Artificial Neural Network Controller and a Conventional Proportional Integral Derivative Controller Shuraiji, Ahlam Luaibi; Shneen, Salam Waley
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13820

Abstract

Systems vary depending on the changing operating conditions. Some include linear systems, which previous studies have proven can be controlled using conventional systems, while non-linear systems require expert and intelligent controllers. To verify this, the current study compares expert artificial neural networks (ANNs) with traditional PID controllers for controlling the rotational speed of an induction motor. Traditional PID controllers are simple and easy to implement, but they lack the ability to handle changing operating conditions and do not have the capacity to adapt to load fluctuations as expert systems such as neural networks do. They also have the ability to handle load disturbances and are considered more effective, efficient, and robust compared to traditional PID controllers. PID controllers are easy to adjust and simple in structure, and are widely used with linear industrial systems. PID controllers have degraded performance when the load changes, i.e., when the system is non-linear, their performance deteriorates. ANN, on the other hand, are characterized by their ability to adapt to varying conditions and changing loads. In non-linear systems, they have the ability to adapt and handle system disturbances. ANNs are expensive and require precise design, data for network architecture, and training. The feasibility of tracking induction motor speed is investigated using motor simulation models, conventional PID controllers, and expert neural networks, and the simulation results are analyzed and compared. The simulation results demonstrate that ANNs outperform PIDs in response speed and lower overshoot and undershoot limits under various operating conditions. From the above, it can be concluded that expert neural networks can effectively control and improve dynamic response of induction motors due to their adaptive and learning capabilities, and they can handle nonlinear systems such as changing load conditions. It is proposed to conduct simulation tests of an electric motor using MATLAB engineering software, by mathematically representing it using a transfer function according to characteristics suitable for applications similar to the proposed characteristics. Simulation tests are conducted for an open circuit system, a closed circuit system without control, and a closed circuit system with control. The second method involves self-tuning the conventional controller to achieve the best design by optimizing performance, response speed, overshoot rate, and rise time, according to the proposed operating algorithm. The results demonstrate the superiority of the neural network over conventional controllers.
Co-Authors Abd, Mohammed Kdair Abd, Mohommed Kdair Abdullah, Fatin Nabeel Abdullah, Zainab B Abdullah, Zainab B. Abood, Layla H. Aessa, Suad Ali Al-Abbasi, Mohammed Al-Dabbagh, Zainab Ameer AL-Khafaji, Mohanned M. H. Ali, Ekbal Hussain Ali, Moaz H. Alkhasraji, Jafaar M. Daif Aziz, Ghada Adel Dahloos, Jaber. O. Dakheel, Hashmia S Dakheel, Hashmia S. Dakheel, Hashmia Sharad Eissa, Suad Ali Gaber, Rajaa Khalaf Gitaffa, Sabah A. Hafad, Sanaa A. Hanfesh, Abduljabbar O. Hmood, Abdalkalaq F. Hussin, Shemaa A. Ibrahim, Luay G. Jawad, Qusay A. Jiaad, Suaad Makki Juhi, Hasan H. Kareem, Tamarah Mahdi, Raghad R. Mutlag, Ashraf Abdualateef Nadhim, Rasha F. Najim, Hiba Ali Oleiwi, Fadhil Mahmood Omran, Salman Hussien Oudah, Manal Kadhim Salman, Hayder Mahmood Shuraiji, Ahlam Luaibi Sulttan, Mohammed Q.