اخبار القسم en
Discussion of a Master's Thesis
|
The master's thesis of the student (Taha Shaker Mahmoud) with a major in (Mechatronics Engineering) was discussed on Tuesday 11/10/2022 at the discussion room (Hall No. 9) in the Department of Control and Systems Engineering. The thesis title is “An Intelligent Controller Design Based on Feedback linearization Using NARMA-L2 for Nonlinear Systems” The discussion committee consisted of: 1-Prof. Dr. Ahmed Ibrahim Abdel Karim / Chairman Asst. 2-Prof. Dr. Wajdi Sadiq Abboud / Member Asst. 3-Prof. Dr. Bushra Kadhum Aliwi / Member 4-Prof. Dr. Omar Farouq Lutfy / Member and Supervisor Feedback linearization provides applicable design tools for a wide variety of nonlinear systems. This thesis presents an intelligent feedback controller based on the feedback linearization approach to control nonlinear systems. In particular, the nonlinear autoregressive moving average (NARMA-L2) network is trained to reproduce the forward dynamics of the controlled system. Thus, the trained NARMA-L2 network can be immediately integrated into the inverse feedback control (IFC) structure. In order to improve the ability of the NARMA-L2 architecture to approximate nonlinear systems, the NARMA-L2 controller consists of two wavelet neural networks (WNNs). In addition, the RASP1 function was used as the wavelet mother function in the WNN architecture, where this function led to the best control accuracy compared to the more commonly used Mexican Hat, Gaussian, and Morlet functions. To avoid the limitations of the gradient descent (GD) methods, the artificial gorilla force optimization (GTO) algorithm is used to determine the optimal settings for the NARMA-L2 inverse control parameters. In particular, several evaluation tests are used to evaluate the efficacy of WNN-based NARMA-L2 in control accuracy and robustness against external disturbances in each system under study. These tests clearly demonstrated the effectiveness of the control system. Finally, a comparative study showed that the WNN-based NARMA-L2 controller achieved better control results compared to the Multilayer Perceptron (MLP), the NARMA-L2-based RBF, and the PID Controller. The discussion was attended by the Assistant Head of the Department for Administrative Affairs (Prof. Dr. Hazem Ibrahim Ali) and the Assistant Head of the Department for Scientific Affairs and Postgraduate Studies (Prof. Dr. Muhammad Youssef Hassan). On this occasion, we congratulate the student (Taha Shaker Mahmoud) and wish him continued success. |
Discussion of a Master's Thesis
|
The master’s thesis for the student (Mustafa Yassin Diab) was discussed with a major in (Computer Engineering) on Wednesday 10/12/2022 at the discussion room (Hall No. 9) in the Department of Control and Systems Engineering. The thesis is entitled “Cyber-Physical System for Dams Monitoring and Control” The discussion committee consisted of: 1-Prof. Dr. Muhammad Ali Tawfiq / Chairman Asst. 2-Prof. Dr. Ayman Daoud Salman / Member Asst. 3-Prof. Dr. Ahmed Alaa Okla / Member Prof. Dr. 4-Moayad Sadiq Crook / Member and Supervisor The water management system is nowadays an issue of increasing importance. In this thesis, a safe automated monitoring and control system for dams based on electronic physical systems (CPSs), which is a modern core technology in a complex and heterogeneous cyber world, is proposed. This system consists of three main parts: The physical WSN node, which is the physical world; Communication technologies such as communication protocols; Web-based servers like the world of the Internet. The first part consists of four nodes (NodeMCU8266) as a microcontroller distributed over the dam areas, a Raspberry pi4 as a central server, sensors of water level, temperature and air humidity, sensor of rain and temperature of the dam's water, and three actuators, representing the three gates of the dam. It has become vulnerable to many cyber-attacks. To secure the proposed system, two cyber security algorithms are proposed to detect and prevent cyber attacks. The first one is applied to a physical wireless sensor network (WSN) that adopts telemetry transfer protocol in message queue. The second addresses cyber-attacks on the cloud server side. These algorithms predict DoS attacks on nodes or DoS-HTTP flood attacks on the cloud. Dams are monitored and managed and threats are identified via the dashboard. The proposed system and algorithms were tested by nine case studies. The experimental results showed a high performance of the proposed methods to monitor and manage the dam as well as a high effectiveness of securing the CPS system by detecting and preventing cyber-attacks affecting WSN and cloud servers. The discussion was attended by the Assistant Head of the Department for Administrative Affairs (Prof. Dr. Hazem Ibrahim Ali) and the Assistant Head of the Department for Scientific Affairs and Graduate Studies (Prof. Dr. Muhammad Youssef Hassan). On this occasion, we congratulate the student (Mustafa Yassin Diab) for obtaining the master's degree and we wish him continued success. |
Discussion of a Master's Thesis
|
The master's thesis for the student (Dina Mahdi Abdul-Hussein) was discussed with a major in (Computer Engineering) on Tuesday 4/10/2022 at the discussion room (Hall No. 9). The thesis title is “Object Features and Behavior Analysis using Deep Learning” This discussion committee consisted of: 1- Prof. Dr. Ashwaq Talib Hashem / Chairman 2- Asst. Prof. Dr. Intisar Abdul Majeed Al-Sayed / Member 3- Asst. Prof. Dr. Ahmed Raouf Nasser / Member 4- Asst. Prof. Dr. Laith Jassim Saud / Member and Supervisor The exponential increase in the use of image processing and artificial intelligence in a very large number of applications in many fields makes it a stimulating field for education, business and research. Object detection and analysis is needed in most of these applications. This work is specifically concerned with the human face as an object. For years and still, different face detection methods with different approaches have been competing for better efficiency. Feature-based and image-based methods are the two main methods among these methods. In this work: A relatively extensive review of the methods used in face detection has been undertaken with an overview of their capabilities and limitations. • Two important face detection and analysis methods, one that uses Viola Jones' idea and belongs to the feature-based approach and the other is deep learning on CNN and belongs to the image-based approach, are implemented and analyzed, considering their structure, method of training and work, factors affecting their work, capabilities, limitations, and suitability for detection and analysis. • Ensures working with training as well as testing algorithms Working with algorithms included training as well as testing. The work is carried out on computing platforms (personal computers) with different capabilities, and as a programming environment, PyCharm is used as an integrated development environment with Python as a programming language as well as various libraries that support the construction of algorithms and support the best use of practical computing units. The data sets used in training or tests are taken from internet sources. When choosing the method to use for an application, it is important to consider, among many things, the purposes of the application in terms of accuracy, time, resources, and ability to use the GPU. The door is still open to effective new methods, as well as improving the efficiency of already existing methods. On this occasion, we congratulate the student (Dina Mahdi Abdul-Hussein) and wish her continued success. |
Master's Thesis Discussion
|
The master's thesis of the student Suha Salman Hussein, specialized in Control Engineering, was discussed on Sunday 2/10/2022 at Hall No.9 in the Department of Control and Systems Engineering. Her research was entitled: Integral Sliding Mode Control for Seismic Effects Regulation on Building The Discussion Committee consisted of: 1- Prof. Dr. Amjad Jalil Hamidi / Chairman. 2- Asst. Prof. Dr. Ikhlas Hamid Karim / Member. 3- Asst. Prof. Dr. Ahmed Khalaf Hammoudi / Member. 4- Lect. Dr. Taghreed Mohamed Mohamed-Reza / Member and Supervisor. Due to the constant rise in population around the world, the need for multi-storey buildings is increasing. These high-rise buildings are more sensitive to seismic effects than traditional buildings. Therefore, such buildings must be able to resist seismic influences to protect people and the contents of the building. The goal is to reduce the displacement caused by seismic vibrations to an acceptable safe range to make these buildings as safe and comfortable as possible for their inhabitants and with the least possible energy. Three types of controllers are designed to minimize seismic impact: the Sliding Mode Control (SMC) Algorithm, the Integrated Sliding Mode Control (ISMC) Algorithm, and the Integrated Control Algorithm based on the Barrier Function (ISMCbf) to operate the dampers due to their sobriety. Two types of dampers (active and semi-active) were selected and compared under the influence of the same controller. ISMCbf has, in addition to all the known benefits of ISMC, a major advantage that it does not need prior knowledge of the upper limit of turbulence or uncertainty.Moreover, ISMCbf is continuous which means that it does not need any kind of approximation to avoid the phenomenon of high-frequency oscillations caused by the non-continuous part of SMC and ISMC. A semi-active damper (MRD) was chosen to equip the necessary forces under the control of ISMCbf. It was concluded that the use of ISMCbf with an MRD damper can reduce displacement by 86% in the case of a semi-active damper while an active damper has reduced displacement by 54%. Energy was reduced by 56% compared to the active damper. The discussion was attended by the Assistant Head of the Department for Scientific Affairs and Graduate Studies Prof. Dr. Mohammed Yousef Hassan. On this occasion, we congratulate the student Suha Salman Hussein and wish her continued success. |
Postgraduate Students of the Control and Systems Engineering Department Start their New Academic Year
|
On Sunday, 4/9/2022, postgraduate students of the Control and Systems Engineering Department for masters and doctoral studies commenced the first semester of the new academic year 2022-2023. In this regard, the student reception committee represented by the Assistant Head of the Department for Scientific Affairs and Graduate Studies (Prof. Dr. Mohamed Youssef Hassan), the Head of the Computer Engineering Branch (Asst. Prof. Dr. Firas Abdel Razzaq Raheem), the Head of the Control Engineering Branch (Prof. Dr. Omar Farouq Lutfy), and the Head of the Mechatronics Engineering and Robotics (Prof. Dr. Ahmed Ibraheem Abdul-Karee) welcomed the postgraduate students in the department’s conference room to clarify the importance of adhering to the instructions and timing of the lectures, in addition to helping the students and preparing the requirements to take them to the brink of success. |
Students of the Control and Systems Engineering Department Take the Second Round Exams
|
The undergraduate and postgraduate students of the Control and Systems Engineering Department started to perform the exams of the second round for the academic year 2021-2022. The Department Head (Prof. Dr. Azad Raheem Kareem) inspected the exam halls to ensure that the exams are proceeding normally, indicating that the department’s presidency seeks to do as much as possible to provide a comfortable atmosphere for students. |
Discussion of a Master's Dissertation
|
On Thursday, 21/7/2022, the discussion of the master’s dissertation for the graduate student (Mayassa Ali Salman) in (Mechatronics Engineering) was made in the discussion room (Hall No. 9) at the Control and Systems Engineering Department for her research entitled: “Design of Adaptive Control for a Prosthesis Knee” This examination committee consisted of: 1- Asst. Prof. Dr. Alaa Abdulhadi Jabr / Chairman. 2- Asst. Prof. Dr. Hadeel Qassem Wadi / Member. 3- Asst. Prof. Dr. Evan Esho Kurial / Member. 4- Asst. Prof. Dr. Salim Khalifa Kazem / Member and Supervisor. The movement of people who have had their lower limbs amputated is slower and less stable and requires more metabolic energy than that of people who are physically fit, and they also often have difficulty moving on uneven ground and stairs. In most cases, these problems can be traced back to the use of above-the-knee prosthesis controllers, which enhance mobility and increase the quality of life for the millions of individuals who have lost their lower limbs. This paper focuses on the design and modeling of a dual-degree of freedom system in the knee joint mechanism to control the internal and external rotation of the femoral tibia complex to enable the patient to move and turn in both directions. The non-linear mathematical model of the artificial knee includes kinetic and dynamic models of two degrees of freedom to analyze and design the artificial knee Controllers are designed and simulated with MATLAB to optimize desired joint position specifications while tracking medical pathways for the desired position. The work proposed a bat algorithm to fine tune the design parameters such as improving the dynamic performance of the artificial knee. It was found that the improvement in system responses was achieved using the feedback controller and the adaptive feedback controller. The rate of improvement in the adaptive optimal control as compared to the retrograde optimal control was 11.1% in the thigh and 3.4% in the leg. The discussion was attended by the Assistant Head of the Department for Scientific Affairs and Graduate Studies (Prof. Dr. Mohamed Youssef Hassan) and the Assistant Head of the Administrative Affairs Department (Prof. Dr. Hazem Ibrahim Ali). On this occasion, we congratulate the student (Mayassa Ali Salman) and wish her continued success.
|
Conclusion of the Syllabus for the Course Entitled (Components’ Principles of Electronic Circuits) which was Held at the Control and Systems Engineering Department
|
The syllabus of the course entitled (Components’ Principles of Electronic Circuits) was concluded in the laboratory of the Automation and Robotics Research Unit in the Control and Systems Engineering Department. The course aims to familiarize students with the shapes and models of electronic components, how to check them, know their value, what the numbers, symbols or colors on them mean, how to examine them and determine their validity with knowing the causes of their failure and finding suitable alternatives by knowing the technical specifications of each piece using tables or the Internet. The course also aims to motivate students, simplify the concept of using measuring devices in a logical and correct manner, and enable students to understand electronic maps and how to implement them and examine electronic boards to determine faulty components. Moreover, the course includes familiarization with the methods to read and measure resistors, fixed and variable capacitors of all kinds, diodes, transistors, coils, and voltage stabilizers. The duration of this course was approximately 20 hours, distributed over two months of 90 minutes per week. The course organizer was Engineer Omar Farhan Jassim. |
The Control and Systems Engineering Department Holds a Training Course Entitled “Identifying the Components of Robots in Practice”
|
A training course was held in the Control and Systems Engineering Department. The course was entitled “Identifying the Components of Robots in Practice” for a real robot explaining the robot arm components of links and motors. The course was held for the engineers, the academic staff members, and the students of the Control and Systems Engineering Department in the Mechatronics Laboratory over a period of seven days for two hours a day from 22-6-2022 to 28-6-2022. The course lectures were delivered by the two faculty members in the department, Eng. Hind Zuhair Khalil and Eng. Laith Khamis Majid. The course participants expressed the extent to which they benefited from the information presented in the course, hoping to hold more technical courses that would enrich their technical information and they expressed their appreciation to the department for its great support in holding such courses. |
Arduino Use and Programming
|
In cooperation with the Graduate Follow-up Unit in our department, two training courses were held for students of the second stage of the Computer Engineering Branch, including morning and evening studies. The duration of each of these courses was three days over a month for the first session (the evening study) from 10 am to 12 pm in the computer lab (PC1), and for the second session (the morning study with the guests from the evening study) from 12 pm to 2 pm in the computer lab (PC2). An introduction about this type of controllers and the way to program it were given. In addition, applications on how to connect the sensors (gas, flame, and light sensors) in addition to the DC motor and how to manage it were also given in this course. The total number of students participating in these two courses was (27 male and female students). This course was delivered by Asst. Lect. Mohamed Hassan and Lect. Farah Flaieh. |
More...
Control and Systems Engineering Department Conducts a Training Course Entitled (Numerical Analysis Methods Using MATLAB)
|
A four-day, two-hour daily training course entitled Numerical Analysis Methods Using MATLAB was held in the Department of Control and Systems Engineering in the Computer Control and Network Laboratories from 20-23/6/2022. The course was lectured by department teaching staff Dr. Hudhaifa Khalil Ibrahim and Lect. Louay Thamer Rashid. The course dealt with several topics including an introduction to MATLAB and solving mathematical equations with one or more variable using MATLAB and various methods of numerical analysis. The aim of the course is to develop the teaching staff and members of the department in the field of using MATLAB in solving mathematical equations using various methods of numerical analysis. The department will distribute certificates to participants after the course. |
The Control and Systems Engineering Department Holds a Training Course Entitled “Representation of Electronic Circuits Using Matlab/Simscape”
|
A training course entitled “Representation of Electronic Circuits Using Matlab/Simscape” was held at the Control and Systems Engineering Department in the Control Laboratory over a two-day period from 13 to 14 June 2022. The lecture of the training course was delivered by (Lect. Dr. Hudhayfa Khalil Ibrahim), who is a member of our department’s academic staff. This training course addressed several subjects including (An Introduction to Simulink, Simscape, Design of an Operational Amplifier Circuit using Matlab/Simscape). The objectives of this training course include representing and simulating electrical and electronic circuits using Matlab in addition to the main objective of improving the staff members and the students of the department in the field of representing the electronic circuits using Matlab/Simscape. After the course is completed, the department will give certificates to the participants in the course. |
Discussion of a Master's Dissertation
|
On Thursday, 16/6/2022, the master's thesis of the graduate student (Haider Ibrahim Mutar) specialized in (Computer Engineering) was discussed in the discussion room (Hall No. 9) at the Control and Systems Engineering Department for his research entitled: “PSO-based Energy Optimization Algorithm for Wireless Sensor Network” The discussion committee consisted of: 1- Asst. Prof. Dr. Hamid Musa Hassan Chairman 2- Asst. Prof. Dr. Dalal Abd-Almuhsin Hmood Member 3- Asst. Prof. Dr. Ahmed Mudhir Hassan Member 4- Asst. Prof. Dr.Muna Muhammed Jawad Member and Supervisor This dissertation introduces an algorithm to extend the life of wireless sensor networks (WSNs), where it has been proposed to deploy the sensors (wireless sensors) in the form of fixed groups arranged as geometric shapes to ensure full coverage of the area being monitored, and to ensure the balance of network loads. The researcher proposed a technique for selecting the cluster head based on the particle swarm optimization (PSO) algorithm using a new fitness function. This technology takes into account various factors to extend the life of the network, including the distance from the base station (BS), and the power remaining at the sensor node. This dissertation deals with two study cases; the first one is about monitoring liquid levels in oil reservoir fields by networks of wireless sensor radars (WSRs), and the second one is about monitoring forest fires through wireless sensor networks for early detection of forest fires.
|
A Campaign to Plant 500 Olive Trees
|
Under the supervision of the President of the University of Technology, Prof. Dr. Ahmed Al-Ghabban, and in cooperation among the Control and Systems Engineering Department, the IoT Maker Foundation, and the Voluntary Work Unit at the university, a campaign has been carried out to plant the university’s gardens and its empty spaces and corridors. The university students and affiliates participated in this campaign, with the aim of increasing green spaces and adding a beautiful view to the university. The President of the University, his administrative assistant, and the Head of the Control and Systems Engineering Department, contributed to the process of planting the blessed tree. They also praised the campaign leader (Engineer Muhammed Khalid), head of the foundation and one of the university’s graduate for his precious initiative. In addition, the President of the University thanked all the volunteers in the campaign for a more beautiful University of Technology. |
.jpg)
