| Course label : | System Control |
|---|---|
| Teaching departement : | EEA / Electrotechnics - Electronics - Control Systems |
| Teaching manager : | Mister CHRISTOPHE SUEUR |
| Education language : | French |
| Potential ects : | 0 |
| Results grid : | |
| Code and label (hp) : | LE4_8_EEA_CSY - Commande de systèmes |
Education team
Teachers : Mister CHRISTOPHE SUEUR / Mister WILFRID PERRUQUETTI
External contributors (business, research, secondary education): various temporary teachers
Summary
This teaching presents a deepening of the techniques of control of multivariable linear processes, from the state representation. The concepts of saturation, nonlinearity are presented on physical examples and analyzed with Matlab.
Educational goals
At the end of the course, the student will be able to: - Identify and model a continuous process - Define a specification - Develop advanced control techniques from the state representation Contribution of the course to the competency framework; At the end of the course, the student will have progressed in: - To understand a technical problem - Analyze and put in place a scientific approach of problem solving - Bring a solution to a problem - Analyze and implement a scientific approach to solving complex projects - Specify a system - Design a system - Make and run test games - Perform technical integrations - Team working Knowledge worked: Part I: State Representation Notion of state representation (concept of state variable, physical approach ...) Notion of order by state feedback (property of controlability, placement of poles) Notion of state estimator (observability property) Concept of poles and zeroes of a model Application : Solving the problem of the orientation of a robot Study of the problem of saturation Solving the anti-sway problem (Order 4 NL with saturation, unmeasured state, problem of linearization) Part II: Control of a complex system (multivariable) Notion of multivariate system Input-output decoupling by state feedback (concept of decoupling, concept of structure at infinity and structure finished, analysis of the properties of a decoupled model ...) Application on physical examples: solving the problem of the helicopter (model of order 6 + perturbation + saturation state unmeasured + MIMO + NL) Skills developed: - To understand a technical problem - Analyze and put in place a scientific approach of problem solving - Specify a system - Understand a complex project - Design a system - Perform technical integrations
Sustainable development goals
Knowledge control procedures
Fixed Exam
Comments:
Online resources
Pedagogy
- Teaching mainly in the classroom, in the form of TD and TP courses - Use of Matlab in TP, TP poly.
Sequencing / learning methods
| Number of hours - Lectures : | 0 |
|---|---|
| Number of hours - Tutorial : | 0 |
| Number of hours - Practical work : | 0 |
| Number of hours - Seminar : | 20 |
| Number of hours - Half-group seminar : | 4 |
| Number of student hours in TEA (Autonomous learning) : | 0 |
| Number of student hours in TNE (Non-supervised activities) : | 0 |
| Number of hours in CB (Fixed exams) : | 0 |
| Number of student hours in PER (Personal work) : | 0 |
| Number of hours - Projects : | 0 |
Prerequisites
Control of linear system, with continuous and digital approaches.