Click to Print This Page
Code ME 308
Term 201701
Title Industrial Control
Faculty Faculty of Engineering and Natural Sciences
Subject Mechatronics(ME)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Kemalettin Erbatur -erbatur@sabanciuniv.edu,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
--
Mode of Delivery Formal lecture,Interactive lecture,Field work/field study/on-the-job,Laboratory,Other
Planned Learning Activities Interactive,Communicative,Discussion based learning,Project based learning,Task based learning,Guided discovery,Simulation,Case Study
Content

This is an course that covers industrial control systems. The specific topics include: control systems architectures; transducers and actuators; communications in industrial control systems - industrial LANs; sequential control - programmable logic controllers; direct digital control and supervisory control; structures of SCADA systems; case studies.

Objective

To provide the students with the foundations of modern industrial control in the machine automation context.

Learning Outcome

List main types of industrial automation systems and industrial actuation and sensor systems
Identify the individual design steps in an industrial automation project.
Design automation systems with industrial control components.
Compare different industrial control strategies.
Draw wiring diagrams.
Program Programmable Logic Controllers (PLC) and Industrial Robots
Develop Graphical User Interfaces
Work with industrial communication networks
Wire and instrument basic industrial sensors and actuators.
Develop skills to adapt industrial control components to their automation design.
Develop problem solving and planning skills and work effectively as part of a team

Programme Outcomes
 
Common Outcomes For All Programs
1 Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 3
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3
3 Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 4
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4
5 Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 5
Common Outcomes ForFaculty of Eng. & Natural Sci.
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 4
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 3
3 Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 4
4 Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 4
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 3
7 Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 2
Mechatronics Engineering Program Outcomes Core Electives
1 Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 2
2 Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 5
Materials Science and Nano Engineering Program Outcomes Area Electives
1 Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1
2 Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1
Industrial Engineering Program Outcomes Area Electives
1 Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 1
2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 1
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 1
Assessment Methods and Criteria
  Percentage (%)
Final 30
Midterm 25
Assignment 4
Group Project 28
Written Report 8
Homework 5
Recommended or Required Reading
Readings

Pdf documents related to Siemens S7 300 PLC's

Optional Readings

Title: Automated Manufacturing Systems
Author: S. Brian Morriss
Year: 1994
Publisher: Mc Graw Hill

Title: Automation Systems for Control and Data Acquisition
Author: Lawrence T. Amy
Year: 1992
Publisher: ISA (Instrument Society of America)
Series: Resources for Measurement and Control Series

Title: Practical Process Control
Author: A. M. Seal
Year: 1998
Publisher: Arnold

Hans Berger, Munich, Automating with SIMATIC, Publicis MCD Verlag, Munich
Lawrence T. Amy, Automation Systems for Control and Data Acquisition, ISA

Course Web https://sucourse.sabanciuniv.edu/portal/site/ME308-201201