Lectures:
1. Basic notation and technical terms in the area of technical cybernetics. Classification of systems, concepts of open-loop and closed-loop control.
2. Examples of open-loop and closed-loop control. Educational physical models, real technology control in practice. Alternatively: excursion to a company involved in the field of industrial automation.
3. Mathematical background used in cybernetics and control systems. The problems of modeling and simulation.
4. Input/output description of dynamical systems.
5. State-space description of dynamical systems.
6. Basic dynamic systems and their properties.
7. Introduction to analysis of SISO and MIMO continuous and discret systems.
8. Feedback control circuit, its functions, structure and basic properties. Introduction to continuous control (PID control).
9. Introduction to digital control, discrete control circuit. Discrete systems, problem of discretization of continuous systems.
10. Introduction to identification of the systems.
11. Introduction to nonlinear systems.
12. HW and SW means for the design and implementation of control systems.
13. History, present-day, new trends and concepts in the area of technical cybernetics.
Exercises:
1. Getting acquainted with the outline of the course and with the laboratory. Safety training. Examples of laboratory educational models with a demonstration of the principle of feedback control – laboratory exercise.
2. Application of mathematical tools in the form of examples, demonstration of Matlab and Simulink / Scilab.
3. Input/output description of the systems, demonstration of Matlab and Simulink / Scilab – laboratory exercise.
4. State-space description of systems, demonstration of Matlab and Simulink / Scilab – laboratory exercise.
5. Basic dynamic systems, demonstration of Matlab and Simulink / Scilab – laboratory exercise.
6. Feedback control circuit – introduction, analysis, demonstration in Matlab and Simulink / Scilab.
7. Introduction to analysis of SISO and MIMO continuous and discret systems, demonstration in Matlab and Simulink / Scilab.
8. Discrete control circuit, discretization, demonstration in Matlab and Simulink / Scilab.
9. Basic methods of identification of the systems, demonstration in Matlab and Simulink / Scilab.
10. Introduction to problems of nonlinear systems, demonstration in Matlab and Simulink / Scilab.
11. Working on individual projects.
12. Demonstration of HW and SW means used for control.
13. Credit, checking of the projects.
Projects:
Each student gets assignment of one project to be processed by PC. Time consumption: appx. 20 hours. The title of the project: Fundamentals of analysis of continuous SISO control circuits and continuous linear and nonlinear plants.
1. Basic notation and technical terms in the area of technical cybernetics. Classification of systems, concepts of open-loop and closed-loop control.
2. Examples of open-loop and closed-loop control. Educational physical models, real technology control in practice. Alternatively: excursion to a company involved in the field of industrial automation.
3. Mathematical background used in cybernetics and control systems. The problems of modeling and simulation.
4. Input/output description of dynamical systems.
5. State-space description of dynamical systems.
6. Basic dynamic systems and their properties.
7. Introduction to analysis of SISO and MIMO continuous and discret systems.
8. Feedback control circuit, its functions, structure and basic properties. Introduction to continuous control (PID control).
9. Introduction to digital control, discrete control circuit. Discrete systems, problem of discretization of continuous systems.
10. Introduction to identification of the systems.
11. Introduction to nonlinear systems.
12. HW and SW means for the design and implementation of control systems.
13. History, present-day, new trends and concepts in the area of technical cybernetics.
Exercises:
1. Getting acquainted with the outline of the course and with the laboratory. Safety training. Examples of laboratory educational models with a demonstration of the principle of feedback control – laboratory exercise.
2. Application of mathematical tools in the form of examples, demonstration of Matlab and Simulink / Scilab.
3. Input/output description of the systems, demonstration of Matlab and Simulink / Scilab – laboratory exercise.
4. State-space description of systems, demonstration of Matlab and Simulink / Scilab – laboratory exercise.
5. Basic dynamic systems, demonstration of Matlab and Simulink / Scilab – laboratory exercise.
6. Feedback control circuit – introduction, analysis, demonstration in Matlab and Simulink / Scilab.
7. Introduction to analysis of SISO and MIMO continuous and discret systems, demonstration in Matlab and Simulink / Scilab.
8. Discrete control circuit, discretization, demonstration in Matlab and Simulink / Scilab.
9. Basic methods of identification of the systems, demonstration in Matlab and Simulink / Scilab.
10. Introduction to problems of nonlinear systems, demonstration in Matlab and Simulink / Scilab.
11. Working on individual projects.
12. Demonstration of HW and SW means used for control.
13. Credit, checking of the projects.
Projects:
Each student gets assignment of one project to be processed by PC. Time consumption: appx. 20 hours. The title of the project: Fundamentals of analysis of continuous SISO control circuits and continuous linear and nonlinear plants.