مستخدم:Bekoosust

من ويكيبيديا، الموسوعة الحرة
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الاسم ابوبكر مصطفى الوراق الجنسيه سوداني من الاب والام (كواهله) الاسم الكامل ابوبكر مصطفي الوراق إبراهيم بابكر النزير جاد الله محمد على فتاي (مفتي العلوم) ولد ابوبكر بالسعوديه سنه 1986 بالمدينه المنوره درس الابتدائيه في مدرسه شمبات الغربيه والثانويه بالمجلس الأفريقي والجامعه بجامعه السودان للعلوم والتكنولوجيا تخرج منها 2009 وعمل فيها استاذا بها حصل على درجه الماجستير في الكهرباء 2011 في جامعه السودان للعلوم والتكنولوجيا وتخصص في التحكم مشروع الماجستير نبذه مختصره : Proposal for postgraduate study

Personal Details: Name: ABUBAKR MUSTAFA ELWRAG Date of Birth:1/06/1986 Nationality: Sudanese Telephone: 0912552101 Job Title: ELECTRICAL ENGINEERING Name of Employer: SUDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY Higher Education to Date and Professional Qualification University Country Date start Date Finish Qualification Obtained Specially Grade Date Awarded Sudan University of Science and Technology Sudan 2004 2009 Bachelor of Engineering Control SECOND UPPER October/2009

Taught Degree Program Sought

Qualification: M.Sc. By Research


                                                                     M.Sc. By Course        
                                                                                                             
                                                                       Ph.D.   
                                                                                                              

Area of Research Title: STEPPER MOTOR CONTROL USING NEURAL NETWORK


1. General: A stepper motor is an electromechanical device which converts electrical pulses into discrete mechanical movements. The shaft or spindle of a stepper motor rotates in discrete step increments when electrical command pulses are applied to it in the proper sequence , There are many kind of stepper motors. Unipolar type, Bipolar type, Single-phase type, Multi-phase type, Single-phase stepper motor is often used for quartz watch. The characteristic of stepper motor is the angle can be correctly controlled and to be stable rotates ( It is due to the reliability of the control signal ). Moreover, because the rotor is fixed by the magnetism in the stationary condition the principle, the stationary power(Stationary torque) is large. It suits the use to make stop at some angle. One of the most significant advantages of a stepper motor is its ability to be accurately controlled in an open loop system, This type of control eliminates the need for expensive sensing and feedback devices such as optical encoders. The input and output of the motor is known simply by keeping track of the input step pulses. stepper motors have found their place in many different applications. Some of these include printers, plotters, scanners, highend office equipment, hard disk drives, fax machines and many more.

Artificial intelligence (AI) techniques, particularly the neural networks, are recently having significant impact on motor drives. Neural networks have created a new and advancing frontier in stepper motor, which is already a complex and multidisciplinary technology that is going through dynamic evolution in the recent years. Neural networks are very sophisticated modeling techniques capable of modeling extremely complex functions. Neural networks also keep in check the curse of dimensionality problem that confuse attempts to model nonlinear functions with large numbers of variables. Neural networks learn by example. The neural network user gathers representative data, and then gets training algorithms to automatically learn the structure of the data. Although the user does need to have some heuristic knowledge of how to select and prepare data, how to select an appropriate neural network, and how to interpret the results, the level of user knowledge needed to successfully apply neural networks is much lower than would be the case using (for example) some more traditional nonlinear statistical methods.

2. Problem statement: Due to the development of digital control systems, hybrid stepper motors became more attractive to be used in robotics and computer numerical control machines where they have to perform high precision positioning operations without any feedback sensor. However, at open loop control (especially at higher stepping rate), the speed response of the stepper motor suffer from large overshoot, oscillatory response and long settling time. Therefore, a closed loop control system essentially required for a good precise operation performance. However, due to the non-linear characteristics and the resonance problem of the hybrid stepper motor, it is difficult to settle the classical control systems with this type of motor. Moreover, the use of discrete pulses to drive the hybrid stepper motor in half stepping mode leads to jerky and noisy movements at high and low stepping rate respectively. the motor must respond to each excitation change. If the excitation changes are made too quickly, the stepper motor may lose some steps and therefore it will be unable to move the rotor to the new demanded position. Therefore, a permanent error can be introduced between the load position and that expected by the controller . Due to these limitations, the stepper motor cannot be used without feedback sensor and closed loop control system with high performance applications where the exact position or rotor speed is required. Much work is reported in this field by many researchers, but the majority is concentrated on using simple closed loop algorithms. These types of controllers are weak because these algorithms are not insensitive enough when confronted by mechanical configuration changes. 3. Objectives: The main aims of this study are:  To design a controller for a stepper motor using neural network.  To perform a design simulation a control a stepper motor done by using MATLAB/SIMULINK.  Simulation and analysis tests were carried out to verify the implementation of the prototype circuit board.  Neural network can be used to advantage in applications where you need to control rotation angle, speed, position and synchronism for stepper motor.  TO present a low-speed-damping controller for a stepper motor using artificial neural networks (ANNs). 4. Methodology: The proposed controller improves the stepper motor performance at less than the resonance speed of the stepper motor system. Due to its ability to learn, the proposed controller can adapt to different resonant speed ranges without any identification process for system parameters. Design the motor driving circuit by connecting the integrated circuit to the transistors. This is the circuit responsible for driving the stepper motor coil and it includes 2-stage transistors in series . Assemble the speed control circuit by connecting the integrated circuit to the transistor, capacitor and resistor. This circuit controls the stepper motor rotational speed and includes a capacitor and a transistor connected to the neural networks. Design the start-stop circuit for controlling the clockwise and counterclockwise motor rotations by connecting the integrated circuit to the baton switch and resistor connection.

Simulation and analysis tests were carried out to verify the design of the prototype circuit board.

Expect Research Expenses: Recommended Supervisor: Dr. Awadalla Tayfor Ali Ismail Recommended Co-Supervisor: Head of Department Researcher