2024
Advanced Control and Supervisory Systems
Name: Advanced Control and Supervisory Systems
Code: EME13161D
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mechatronic Engineering
Teaching languages: Portuguese
Languages of tutoring support: Portuguese, English
Regime de Frequência: Presencial
Sustainable Development Goals
Learning Goals
The student should improve his knowledge in the domain of Control Systems (analogue and digital). He should improve his capacity to design advanced controllers, namely optimal, adaptive and predictive controllers.
The student should build the capacity to design and implement SCADA Systems (Supervisory Control And Data Acquisition) to control and monitor industrial processes of high complexity.
He should have the capacity to design and implement specific drivers, using advanced control algorithms, as well as to implement communications channels among several real-time softwares (ex: LabView, Matlab, etc) using the OPC Protocol.
The student should build the capacity to design and implement SCADA Systems (Supervisory Control And Data Acquisition) to control and monitor industrial processes of high complexity.
He should have the capacity to design and implement specific drivers, using advanced control algorithms, as well as to implement communications channels among several real-time softwares (ex: LabView, Matlab, etc) using the OPC Protocol.
Contents
PART I:
1) Review of Control Systems: State-Space formulation, Regulators and State Observers.
2) Optimal Control Systems: Performance indexes; optimization problems, Optimal control systems based on quadratic performance indexes; Time optimal control systems.
3) Model Reference Control Systems: Introduction to adaptive controllers. Predictive Controllers.
4) Digital Systems Analysis: digital implementation of analogue controllers, digital controllers.
PART II:
1) Review of project and implementation of sequential systems based on PLCs (Siemens S7-300).
2) local Control and Remote Control. Industrial communication networks (Ethenet and ProfiBus).
3) Cooperation among GRAFCETmultiple processes. The management of Master/Slave control chains.
4) SCADA Systems (Siemens WinCC).
5) OPC communication: SCADA - Matlab, LabView, etc.
1) Review of Control Systems: State-Space formulation, Regulators and State Observers.
2) Optimal Control Systems: Performance indexes; optimization problems, Optimal control systems based on quadratic performance indexes; Time optimal control systems.
3) Model Reference Control Systems: Introduction to adaptive controllers. Predictive Controllers.
4) Digital Systems Analysis: digital implementation of analogue controllers, digital controllers.
PART II:
1) Review of project and implementation of sequential systems based on PLCs (Siemens S7-300).
2) local Control and Remote Control. Industrial communication networks (Ethenet and ProfiBus).
3) Cooperation among GRAFCETmultiple processes. The management of Master/Slave control chains.
4) SCADA Systems (Siemens WinCC).
5) OPC communication: SCADA - Matlab, LabView, etc.
Teaching Methods
The teaching method is based on theoretic and practice lessons together with tutorial orientation. It is stimulated an active learning process where the student is motivated to search deeper the several subjects studied in this curricular unit. In the practical classes the student makes contact with laboratory implementations to better realize the topics in study.
Evaluation: Review Paper on Control/Automation state of art or/and a Final Project where the student has to design and implement, in laboratory environment, a SCADA system to control an industrial network of Siemens Simatic PLCs.
Evaluation: Review Paper on Control/Automation state of art or/and a Final Project where the student has to design and implement, in laboratory environment, a SCADA system to control an industrial network of Siemens Simatic PLCs.
Certificações
