Lectures:
1. Introduction. Definition of the content and extent of the subject, prerequsites, connections. Function and objectives of the closed-loop control circuit.
2. Continuous control design: Open-loop shaping.
3. Continuous control design: Ziegler-Nichols Method and its modifications, Modulus Optimum Method, optimization-based methods.
4. Continuous control design: Other various methods.
5. Practical aspects of application of PID controllers.
6. Cascade control circuits I. Control circuit with secondary process variable, control circuit with secondary manipulated variable.
7. Cascade control circuits II. Disturbance-rejection control circuit, internal model control (IMC).
8. Multivariable control circuits. Decoupling.
9. State-space control design. Pole-placement method. Systems with an observer.
10. Discrete control design. Discretization of PID controllers. Algebraic design methods.
11. Nonlinear Control Systems. Methods of non-linear control design.
12. Static optimization and their use in the field of control theory.
13. Dynamic optimization and their use in the field of control theory.
Exercises:
1. Introduction. Safety training, organization of the semester, lab rules.
2. Continuous control design: Open-loop shaping. Design and Simulation on PC.
3. Continuous control design: Ziegler-Nichols Method and its modifications. Design and simulation on a PC - laboratory exercise.
4. Continuous control design: Modulus Optimum Method, optimization-based methods. Design and simulation on PC - laboratory exercise.
5. Synthesis of continuous controllers: selected other methods, design and simulation on a PC - laboratory exercise.
6. Continuous control design: Self-reliant work on a Case Study - Laboratory exercise.
7. Cascade control circuits. Design and Simulation on PC - Laboratory Exercise.
8. Multivariable control circuits. Design and simulation on PC - laboratory exercise.
9. State-space control. Design and simulation on PC - laboratory exercise.
10. Discrete control. Design and simulation on PC - laboratory exercise.
11. Nonlinear Control Systems. Design and simulation on PC.
12. Static optimization. Design and simulation on a PC.
13. Dynamic optimization. Design and simulation on a PC.
Projects:
Each student is assigned a project to be processed by PC. Time consumption: appx. 20 hours. The title of the project: Synthesis of continuous and discrete, cascade and multivariable control circuits, static and dynamic optimization.
1. Introduction. Definition of the content and extent of the subject, prerequsites, connections. Function and objectives of the closed-loop control circuit.
2. Continuous control design: Open-loop shaping.
3. Continuous control design: Ziegler-Nichols Method and its modifications, Modulus Optimum Method, optimization-based methods.
4. Continuous control design: Other various methods.
5. Practical aspects of application of PID controllers.
6. Cascade control circuits I. Control circuit with secondary process variable, control circuit with secondary manipulated variable.
7. Cascade control circuits II. Disturbance-rejection control circuit, internal model control (IMC).
8. Multivariable control circuits. Decoupling.
9. State-space control design. Pole-placement method. Systems with an observer.
10. Discrete control design. Discretization of PID controllers. Algebraic design methods.
11. Nonlinear Control Systems. Methods of non-linear control design.
12. Static optimization and their use in the field of control theory.
13. Dynamic optimization and their use in the field of control theory.
Exercises:
1. Introduction. Safety training, organization of the semester, lab rules.
2. Continuous control design: Open-loop shaping. Design and Simulation on PC.
3. Continuous control design: Ziegler-Nichols Method and its modifications. Design and simulation on a PC - laboratory exercise.
4. Continuous control design: Modulus Optimum Method, optimization-based methods. Design and simulation on PC - laboratory exercise.
5. Synthesis of continuous controllers: selected other methods, design and simulation on a PC - laboratory exercise.
6. Continuous control design: Self-reliant work on a Case Study - Laboratory exercise.
7. Cascade control circuits. Design and Simulation on PC - Laboratory Exercise.
8. Multivariable control circuits. Design and simulation on PC - laboratory exercise.
9. State-space control. Design and simulation on PC - laboratory exercise.
10. Discrete control. Design and simulation on PC - laboratory exercise.
11. Nonlinear Control Systems. Design and simulation on PC.
12. Static optimization. Design and simulation on a PC.
13. Dynamic optimization. Design and simulation on a PC.
Projects:
Each student is assigned a project to be processed by PC. Time consumption: appx. 20 hours. The title of the project: Synthesis of continuous and discrete, cascade and multivariable control circuits, static and dynamic optimization.