This course qualifies students for design and implementation of computer controlled systems for processes that are common in industry.
- define the basic concepts and principles of computer control systems
- select appropriate method for system identification
- estimate which method is appropriate for control of a specific system
- compute paremeters of digital controllers for typical industrail processes
- demonstrare functionality of computer-controlled system by simulation
- apply the chosen control method to control a real process by a computer
Forms of Teaching
Lectures are organized in two cycles. First cycle 7 weeks, 3 hours per week. Second cycle 6 weeks, 3 hours per week.Laboratory Work
6 laboratory exercises, 2,5 hours eachConsultations
Upon request. Through the forum on the course webpage.
|Type||Threshold||Percent of Grade||Comment:||Percent of Grade|
|Laboratory Exercises||50 %||12 %||50 %||12 %|
|Homeworks||50 %||12 %||50 %||12 %|
|Mid Term Exam: Written||40 %||26 %||0 %|
|Final Exam: Written||50 %||30 %|
|Final Exam: Oral||20 %|
|Exam: Written||50 %||50 %|
|Exam: Oral||26 %|
Week by Week Schedule
- Topics overview, literature, undertaking of teaching and exams. Computer supported automatic control. Requirements, structures and realizations of computer controlled systems.
- Mathematical description of discrete-time systems - a short overview. Graphoanalytical identification methods of process mathematical models.
- Introduction to digital controllers design. Design problem definition, Approaches to controllers design. Architecture of digital controllers.
- Control systems design in time domain - first part: Relay method of PID controller design.
- Control systems design in time domain - second part: General linear parametric controller and its design by optimization.
- Control systems design in frequency domain: Design by Bode diagrams. Lead-lag compensator.
- Analytical methods of control systems design: Truxal-Guillemin method. Controller design with respect to disturbance and reference values.
- Midterm exam.
- Control of processes with time-delay: Controllers with Smith predictors.
- Realization aspects of computer-controlled systems: Hardware design. Measuring signals conditioning and processing. Interfaces to actuating devices and operators.
- Implementation aspects of digital controllers: Impelmentation forms. Limited world length. Coefficient errors. Quantization. Controllers implementation in FPGA circuits.
- Communication networks in distributed computer-controlled systems: Communication model for real-time operation. The most important real-time networks.
- Sampling time selection in distributed computer-controlled systems: Problem identification. Algorithms for sampling time selection in systems with Time-Triggered network and in systems with CAN network.
- Closed loop control over communication networks.
- Final exam.