Control - Troubleshooting - Automatic

Objectives

Understand the notions of controllability and observability of state forms Use of grammarian notions to quantify controllability and observability
Automatic flight control

Skills acquired

Understand the calculation methodology of a balanced realization
Be able to synthesize a state feedback controller minimizing a quadratic criterion using the resolution of a Riccati equation.
know the role and the various components of an aircraft automatic flight control system.

Skills in progress

Identify the radio-frequency systems communicating with an aircraft and the characteristics of the signals used
Have a global systemic approach Reason in a context of international regulatory constraints
Communicate and work in a team Lead and lead a work unit or a project group


Supervised mastery level skills

Mobilize a wide field of fundamental and technical sciences related to avionics and space systems, and have the associated capacity for analysis and synthesis
Identify aircraft on-board systems, control and measurement systems, and associated communication protocols
Design, dimension, carry out and test a repair/modification of an aircraft on-board system

Notions of state representation and control: AP6NUMCS

Contents
The Linear Quadratic Control course covers linear quadratic control using measured state feedback. It follows on from the State Representation course in Semester 6, and consists of four chapters. The first deals with the notion of stability in the Lyapunov sense and the associated Lyapunov equation. The second chapter deals with the notions of controllability and observability of state components and the associated criteria, and concludes with the determination of the balanced realization. Chapter three focuses on state feedback control with linear quadratic criterion and the solution of the Riccati equation.
Automatic flight control:
The first chapter introduces the elementary concepts of classical and trajectory control, as well as air navigation. The second chapter defines the objectives and constraints associated with AFCC. The third chapter deals with the differentiation of control levels and the location of this equipment in the aircraft. The tutorials cover the basic functions of the CADV, such as stabilizers, autotrim, autopilot, flight director, etc. The practical work is aimed at calculating a control loop in a simplified case.
Teaching method
The linear quadratic control course will be taught in the form of integrated lectures using Matlab-Simulink, preceded by online preparatory work. The concepts studied will be applied in practical work on a helicopter model with two control inputs and two sensors.
The entire automatic flight control course is available on Moodle. It comprises 6 hours of lectures, 8 hours of tutorials and 4 hours of practical work.

Specialization: Aeronautical systems