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Sensor and Control Technology

Structure Type: Study unit
Code: IITS2205
Type: Optional obligatory / Professional Studies
Curriculum: IT 2016
Level: Bachelor of Engineering
Year of Study: 3 (2018-2019)
Credits: 5 cr
Responsible Teacher: Menani, Smail
Language of Instruction: English

Courses During the Academic Year 2018-2019

Impl.Group(s)Study TimeTeacher(s)LanguageEnrolment
1I-IT-3N, I-TT-3N, YHT-VY-22019-01-07 – 2019-04-01Smail MenaniEnglish2018-12-10 – 2019-01-14

Still need to take the course? See the courses during the academic year 2019-2020.

Learning Outcomes

The course has a practical approach to the functional and selectional principles of sensors that are used in computer science, and to the design and implementation of a control system. After completing the course, the student can describe and analyze dynamic control systems and feedback controls mathematically and by using computer simulation. She can describe the main principles and features of basic control algorithms, and she can select sensors for control applications. The student is able to tell about the importance of control technology to the local energy industry, and she can design and implement a dynamic control system.

Student's Workload

135 h, which contains 70 h of scheduled contact studies.
The assessment of student’s own learning 1 h is included in contact lessons.

Prerequisites / Recommended Optional Courses

Basics of Embedded Systems, Sottware Testing.


Functional principles, electronics, and applications of sensors: orientation, position, speed, acceleration and pressure sensors, among others. Principles of measurements. Basics of automation. Feedback control algorithms. Dynamic behavior of control systems. Design and analysis of control systems: time and frequency domain. P, PI, PD, and PID regulators. Simulation of control systems and Matlab Control Toolbox. Examples of applications that use sensor and control technology. Feedback control of an electric motor (Arduino, Raspberry, frequency converter).

Recommended or Required Reading and Other Learning Resources/Tools

J. Edward Carryer, R. Matthew Ohline & Thomas W. Kenny: Introduction to Mechatronic Design, Pearson, New Jersey: 2011. Paul H. Lewis & Chang Yang: Basic Control Systems Engineering, Prentice-Hall, 1997. Material delivered by the teacher.

Mode of Delivery / Planned Learning Activities and Teaching Methods

Lectures, assignments and laboratory exercises. Maximum 18 students per teacher at a time in the laboratory.

Assessment Criteria

Grade 5: Student is able to use combinations of the methods taught on the course, also in other contexts.
Grade 3: Student can independently apply the methods taught on the course.
Grade 1: Student can by following instructions use the methods taught on the course.

Assessment Methods

Home assignments, projects, laboratory exercises, an examination.

Further Information

Vastuuorganisaatio: VAMK