Advanced Electronics and Communication Technology (English) with thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

EEE526

Course Name:

DSP-Based Electromechanical Motion Control

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
2	2	3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Assoc. Prof. ÖMER CİHAN KIVANÇ

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:

This course overviews backgrounds of DSP-based motor control from the standpoint of the architectural features of DSPs, and surveys DSP applications in high performance motor/motion control.

Course Content:

Introduction to the TMS320F28335 DSP Controller. C2xx DSP CPU and Instruction Set. General Purpose Input/Output (GPIO) Functionality. Interrupts on the TMS320F28335 . The Analog-to-Digital Converter (ADC). The Event Managers (EVA, EVB). DSP-Based Implementation of DC-DC Buck-Boost Converters. DSP-Based Control of Stepper Motors. DSP-Based Control of Permanent Magnet Brushless DC Machines. Park and Clarke's Transformations. Space Vector PWM. DSP-Based Control of Permanent Magnet Synchronous Machines. DSP-Based Vector Control of Induction Motors. Induction Motor Simulation and Control Using Software Packages. DSP-Based Control of Switched Reluctance Motor Drives. DSP-Based Control of Matrix Converters.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) Analyze and design of advanced motion control systems
2) Design functionally related motion control systems
3) Design nonredundant multi-body motion control systems in free motion
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction, Brief Introduction to Peripherals, Types of Physical Memory, Software Tools, Introduction to the C2xxDSP Core and Code Generation	Course Notes
2)	The Components of the C2xx DSP Core, Mapping External Devices to the C2xx Core and the Peripheral Interface, System Configuration Registers, Memory, Memory Addressing Modes, Assembly Programming Using the C2xxDSP Instruction Set.	Course Notes
3)	General Purpose Input/output (GPIO) Functionality, Pin Multiplexing (MUX) and General Purpose I/O Overview, Multiplexing and General Purpose I/O Control Registers, Using the General Purpose I/O Ports, General Purpose I/O Exercise	Course Notes
4)	Introduction to Interrupts, Interrupt Hierarchy, Interrupt Control Registers, Initializing and Servicing Interrupts in Software, 5 Interrupt Usage Exercise	Course Notes
5)	ADC Overview, Operation of the ADC, Analog to Digital Converter Usage Exercise, Overview of the Event Manager, Event Manager Interrupts, General Purpose(GP) Timers, Compare Units	Course Notes
6)	Capture Units and Quadrature Encoded Pulse (QEP) Circuitry, General Event Manager Information, Exercise: PWM Signal Generation	Course Notes
7)	DSP-Based Implementation of DC-DC Buck-Boost Converters: Introduction, Converter Structure, Continuous Conduction Mode, Discontinuous Conduction Mode	Course Notes
8)	Connecting the DSP to the Buck-Boost Converter, Controlling the Buck- Boost Converter, Main Assembly Section Code Description, Interrupt Service Routine, The Regulation Code Sequences	Course Notes
9)	DSP-Based Control of Stepper Motors: Introduction	Course Notes
10)	The Principle of Hybrid Stepper Motor, The Basic Operation	Course Notes
11)	The Stepper Motor Drive System, The Implementation of Stepper Motor Control System Using the, DSP	Course Notes
12)	The Subroutine of Speed Control Module	Course Notes
13)	Application	Course Notes
14)	Application	Course Notes

Sources

Course Notes / Textbooks:	DSP based Electro Mechanical Motion Control by Hamid A TOLIYAT, STEVEN CAMPBELL 2004 CRC Press,ll
References:	DSP based Electro Mechanical Motion Control by Hamid A TOLIYAT, STEVEN CAMPBELL 2004 CRC Press,ll

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3
Program Outcomes
1) By carrying out scientific research in their field, graduates evaluate and interpret deeply and broadly, their findings and apply their findings.
2) Graduates have extensive knowledge about current techniques and methods applied in engineering and their limitations.
3) Graduates can complet and implement knowledge using scientific methods using limited or incomplete data; can use the information of different disciplines together.
4) Graduates are aware of new and evolving practices of their profession, examinining new knowledge and learning as necessary
5) Graduates can define and formulate problems related to the field, develop methods to solve them and apply innovative methods in solutions.
6) Graduates develop new and/or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.
7) Graduates design and apply theoretical, experimental and model-based research; analyze and investigate the complex problems encountered in this process.
8) Lead in multidisciplinary teams, develop solution approaches in complex situations, work independently and take responsibility.
9) A foreign language communicates verbally and in writing using at least the European Language Portfolio B2 General Level.
10) Transfers the processes and outcomes of their work in a systematic and explicit manner, either written or verbally, in the national or international contexts of that area.
11) Recognize the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, and are aware of the limitations they place on engineering applications.
12) Consider social, scientific and ethical values in the collection, interpretation, announcement of data and in all professional activities.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	By carrying out scientific research in their field, graduates evaluate and interpret deeply and broadly, their findings and apply their findings.
2)	Graduates have extensive knowledge about current techniques and methods applied in engineering and their limitations.
3)	Graduates can complet and implement knowledge using scientific methods using limited or incomplete data; can use the information of different disciplines together.
4)	Graduates are aware of new and evolving practices of their profession, examinining new knowledge and learning as necessary
5)	Graduates can define and formulate problems related to the field, develop methods to solve them and apply innovative methods in solutions.
6)	Graduates develop new and/or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.
7)	Graduates design and apply theoretical, experimental and model-based research; analyze and investigate the complex problems encountered in this process.
8)	Lead in multidisciplinary teams, develop solution approaches in complex situations, work independently and take responsibility.
9)	A foreign language communicates verbally and in writing using at least the European Language Portfolio B2 General Level.
10)	Transfers the processes and outcomes of their work in a systematic and explicit manner, either written or verbally, in the national or international contexts of that area.
11)	Recognize the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, and are aware of the limitations they place on engineering applications.
12)	Consider social, scientific and ethical values in the collection, interpretation, announcement of data and in all professional activities.

Learning Activity and Teaching Methods

Lesson
Lab
Project preparation

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Individual Project

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 50
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100