Lectures:
1. Introduction. Definition of the content and extent of the subject, prerequisites, connections. HW and SW means of control. Overview and features.
2. Special techniques of RT modeling. MIL, SIL, PIL, HIL simulators. Modern approaches to the design of control systems. Model-based design. Virtual and remote laboratories.
3. Introduction to modern control theory. Overview, categorization, and historical development of the algorithms.
4. Methods and computational tools for calculation of admissible control signal and state trajectories of nonlinear systems. Transition towards optimal control problem in open-loop and closed-loop.
5. LQR and LQG control.
6. Adaptive control.
7. Predictive control.
8. Robust control. Robust PID control. H-inf control.
9. Case study. Design and implementation of selected method of modern control theory for a given system. Identification of the system, design of a suitable controller. Implementation of selected controller on a suitable platform. Visualization, short-term trends, long-term archiving.
Exercises:
1. Introduction, safety, brief introduction to the equipment, tools and techniques used in teaching. Examples and features of technical and software management tools.
2. Demonstrations and features of MIL, PIL, SIL, HIL simulators and virtual laboratories - a laboratory exercise using a PC and a teaching laboratory rack with a softPLC type target platform.
3. Modern control theory algorithms - overview, demonstrations, properties and implementation options on target platforms.
4. Calculation of admissible control and state trajectories - a case study using PC.
5. LQR regulation - case study, laboratory problem using PC and a teaching laboratory rack with a softPLC target platform.
6. Adaptive regulation - case study, laboratory exercise using PC and a teaching lab bench with a softPLC type target platform.
7. Predictive control - case study, laboratory exercise using a PC and a teaching lab bench with a softPLC target platform.
8. Robust control - case study, laboratory exercise using a PC and a teaching laboratory bench with a softPLC target platform.
9. Credit, project review.
Projects:
Each student is assigned a project to be processed by PC. Time consumption: appx. 20 hours. The title of the project: Design and implementation of controllers – case study.
1. Introduction. Definition of the content and extent of the subject, prerequisites, connections. HW and SW means of control. Overview and features.
2. Special techniques of RT modeling. MIL, SIL, PIL, HIL simulators. Modern approaches to the design of control systems. Model-based design. Virtual and remote laboratories.
3. Introduction to modern control theory. Overview, categorization, and historical development of the algorithms.
4. Methods and computational tools for calculation of admissible control signal and state trajectories of nonlinear systems. Transition towards optimal control problem in open-loop and closed-loop.
5. LQR and LQG control.
6. Adaptive control.
7. Predictive control.
8. Robust control. Robust PID control. H-inf control.
9. Case study. Design and implementation of selected method of modern control theory for a given system. Identification of the system, design of a suitable controller. Implementation of selected controller on a suitable platform. Visualization, short-term trends, long-term archiving.
Exercises:
1. Introduction, safety, brief introduction to the equipment, tools and techniques used in teaching. Examples and features of technical and software management tools.
2. Demonstrations and features of MIL, PIL, SIL, HIL simulators and virtual laboratories - a laboratory exercise using a PC and a teaching laboratory rack with a softPLC type target platform.
3. Modern control theory algorithms - overview, demonstrations, properties and implementation options on target platforms.
4. Calculation of admissible control and state trajectories - a case study using PC.
5. LQR regulation - case study, laboratory problem using PC and a teaching laboratory rack with a softPLC target platform.
6. Adaptive regulation - case study, laboratory exercise using PC and a teaching lab bench with a softPLC type target platform.
7. Predictive control - case study, laboratory exercise using a PC and a teaching lab bench with a softPLC target platform.
8. Robust control - case study, laboratory exercise using a PC and a teaching laboratory bench with a softPLC target platform.
9. Credit, project review.
Projects:
Each student is assigned a project to be processed by PC. Time consumption: appx. 20 hours. The title of the project: Design and implementation of controllers – case study.