SylabUZ
| Course name | Continous process control |
| Course ID | 06.9-WE-AutP-ContProcCont-Er |
| Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
| Field of study | WIEiA - oferta ERASMUS / Automatic Control and Robotics |
| Education profile | - |
| Level of studies | First-cycle Erasmus programme |
| Beginning semester | winter term 2018/2019 |
| Semester | 5 |
| ECTS credits to win | 4 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 30 | 2 | - | - | Exam |
| Laboratory | 30 | 2 | - | - | Credit with grade |
1. To familiarize with the basic techniques of designing continuous process control systems
2. To develop understanding of state-of-the-art control techniques
3. To develop understanding of the techniques of designing the state observer and its applications
Control Engineering , Signals and Dynamic Systems, , Modelling and Simulation, Linear Algebra with Analytic Geometry
System analysis. Elementary definitions and properties. System definition. Input-output representation. State-space representation. Elementary variables associated with the system being analysed. General concepts of control. Practical applications.
Continuous-time systems. Properties and computer implementations. Typical realisations of continuous-time systems. Input-output representation.
State-space representation. Computer-based implementation of linear and non-linear systems.
Discrete-time systems. Properties and computer implementations. Typical realisations of discrete-time systems. Input-output representation.
State-space representation. Computer-based implementation of linear and non-linear systems.
Analysis of systems described by state-space equations. Structures of the matrices of linear systems. Stability. Observability. Controllability. Computer-based analysis of the above properties. Practical interpretation of stability, observability and controllability.
Design of control systems with output feedback. Rules for designing control systems described by state-space equations with output feedback. Computer-based design techniques. Practical applications.
Design of control systems described by state-space. Rules for designing control systems described by state-space equations with state-feedback. Computer-based design techniques. Separation principle. Practical applications.
Observers. Luenberger observer. Computer-based design techniques and convergence analysis. Practical implementations.
lecture: classical lecture,
laboratory: laboratory exercises, projects carried out in two-person group.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Modified by dr hab. inż. Wojciech Paszke, prof. UZ (last modification: 29-04-2020 08:03)
