The aim of this course is to introduce “system approach” to the design, control, analysis and optimization of systems’ behavior using feedback loop architecture. It focuses to the common points of all linear control problems: choice of instrumentation, modeling, specifications and formulation of the problem, design and tunning of the control structure. Methodology, including analysis and resolution procedures, is covered in the complex domain (pole placement) as well as in the frequency domain. Digital implementation of control laws is also presented.
Activity contextualised through environmentally sustainable development and social responsibility and/or supported by examples, exercises, applications.
The course offers several examples of control systems, whose optimization aims to improve their operation and performance while limiting energy consumption and carbon footprint. Through examples, it highlights the benefits of integrating intelligence and digital technology to improve society, transport, medical devices and more efficient use of energy. For example, we look at controlling offshore wind turbines, optimizing temperature in residential building, regulating blood sugar levels in diabetics, and optimizing semi-active suspension in land vehicles...