Objectives of Programme's Learning Outcomes

• Implement an engineering approach dealing with a set problem taking into account technical, economic and environmental constraints
• Understand the stages of an engineering approach
• Identify and describe the problem to be solved and the functional need (of prospective clients) to be met considering the state of technology
• Design, evaluate and optimise solutions addressing the problem
• Implement a chosen solution in the form of a drawing, a schema, a plan, a model, a prototype, software and/or digital model
• Understand the theoretical and methodological fundamentals in science and engineering to solve problems involving these disciplines
• Identify, describe and explain basic scientific and mathematical principles
• Identify, describe and explain the basic principles of engineering particularly in their specialising field
• Select and rigorously apply knowledge, tools and methods in sciences and engineering to solve problems involving these disciplines

Learning Outcomes of UE

For continuous time control (SISO - Single Input Single Output): PID tuning, analysis and tuning of other controllers, anti wind-up compensation systems, root locus;
For discrete time control (SISO - Single Input Single Output): z transform, equivalent z transfer function, stability, accuracy, design of discrete time controller;
For MIMO (Multiple Input Multiple Output) systems: state space equations, matrix of transfert functions; analysis of input-output coupling and pairing; design of decentralized control structures using PID controllers.
 

UE Content: description and pedagogical relevance

For continuous time control (SISO - Single Input Single Output): PID tuning, analysis and tuning of other controllers, anti wind-up compensation systems, root locus;
For discrete time control (SISO - Single Input Single Output): z transform, equivalent z transfer function, stability, accuracy, design of discrete time controller;
For MIMO (Multiple Input Multiple Output) systems: state space equations, matrix of transfert functions; analysis of input-output coupling and pairing; design of decentralized control structures using PID controllers.

Prior Experience

Basic knowledge in continuous time control of industrial processes and, particularly, for SISO (single input single output) systems.