450-4077/01 – Measurement and Control (MaR)
| Gurantor department | Department of Cybernetics and Biomedical Engineering | Credits | 4 |
| Subject guarantor | Ing. Martin Pieš, Ph.D. | Subject version guarantor | Ing. Martin Pieš, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 1 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FEI | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the course is to provide students with a broader basis of the measurement and control systems. The course describes the general structure of the control circuit starting with obtaining information from the measured system, signal processing, design of the structure and parameters of the control circuit, and verification of the control quality. This analysis can be applied to any generalized system. Students will be able to practically carry out dynamic system identification and to analyze properties of dynamical systems and control circuits using computer technology and simulation systems, in particular, Simulink and Matlab.
Teaching methods
Lectures
Individual consultations
Experimental work in labs
Summary
The course extends the knowledge of the subject Biocybernetics and provides more detailed explanations of concepts from the field of control and deals with the properties of control systems. Students will gradually get acquainted with analysis of continuous and discrete signals, linear dynamic systems and control circuits in the time and frequency domains. It will be explained external and internal description of linear dynamic systems. Students also get acquainted with the methods of identification of dynamical systems. It will be followed by analysis of linear control systems in both frequency and time domain. It also discusses the stability of control circuits, the static accuracy and quality control.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Credit:
It consists of the test, 5-10 points, and two separate projects from the signals part for 5 to 10 points and from the regulation part for 7 to 15 points, for a total of 12 to 25 points (both parts are obligatory for completion of the subject). Project is handed over by the email, deadline is the 12th week of the semester. Obtaining credit is possible from the 13th week of the semester. It is necessary to achieve 80% of course attendance.
Exam:
It consists of a written and an oral part. The written part contains a theoretical part of 10-35 points and a practical part of 5-20 points, a total of 15-55 points. The oral part is rated 1-10 points. All three parts of the exam are compulsory, minimum oral part 1 b. Total assessment 51-100 points according to the study regulations.
E-learning
Other requirements
A student must be able to demonstrate that his project was carried out on his own. The credit and final test must be processed on student’s own, any violation may be a reason for unsuccessful result of a given part. Unless otherwise noted, only desktop laboratory PCs are allowed to use during education process, and only programs related to the subject. Detailed rules for a specific classroom are determined by a special document posted at the entrance to the classroom.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
1. Introduction to Measurement and Control. Measurement chain. Applications in biomedicine.
2. Classification of signals and their parameters.
3. Signal processing in the time domain.
4. Signal processing in the frequency domain.
5. Identification methods.
6. Continuous time system model.
7. Discrete time system model.
8. Methods of modeling and simulation of linear systems with continuous and discrete time.
9. Methods of modeling and simulation of nonlinear systems with continuous and discrete time.
10. Introduction to control systems. Examples of control and regulation in biomedicine.
11. Analysis of continuous and discrete control circuits.
12. Synthesis of continuous and discrete control circuits.
13. Case study - regulation of selected biomedical system.
14. Introduction to the implementation of control circuits on selected SW and HW devices.
Exercises:
There are 4 topic of exercises. Computer exercises and laboratory tasks will be combined in each topic.
1. Measurement chain - laboratory task.
2. Signal processing - laboratory task.
3. Identification and modeling - laboratory task.
4. Control and regulation - laboratory task.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction