Name
Title | ||
|---|---|---|
Adaptive retuning of feedforward controller - Application to the airbrake compensation of an aircraft |
Abstract | ||
|---|---|---|
This paper deals with the adaptive retuning of a feedforward controller, under the normalized lattice form, for a parameter-varying closed-loop system. The objective is to tune the controller in real-time during specific flights so that it does not need the adaptive part in nominal operation. The method was developed to help aeronautical design engineers to retune specific feedforward control laws at the early stage of the design process, i.e. when aircraft models are not fully reliable. The idea is to give more weight to the system itself in the control laws tuning process. Using a design method based on inverse simulation, we use a combination of adaptive filtering, local learning and optimal control techniques to achieve a real-time tuning. The method consists in estimating the system's inverse response in real-time using feedback control and in locally retuning the control law, whose parameters are interpolated using neural networks. The method is tested on the airbrake compensation of a civilian aircraft. |
Year | Venue | Keywords |
|---|---|---|
2009 | Control Conference | adaptive control,aircraft control,closed loop systems,feedforward,learning systems,neurocontrollers,optimal control,adaptive filtering,aeronautical design engineers,aircraft airbrake compensation,civilian aircraft,control laws tuning process,controller tuning,design method,feedback control,feedforward controller adaptive retuning,inverse simulation,local learning,neural networks,normalized lattice form,optimal control techniques,parameter-varying closed-loop system,real-time tuning,atmospheric modeling,lattices,feedforward neural networks,vectors |
Field | DocType | ISBN |
Feedforward neural network,Control theory,Optimal control,Control theory,Control engineering,Engineering design process,Adaptive filter,Adaptive control,Engineering,Artificial neural network,Feed forward | Conference | 978-3-9524173-9-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lilian Ronceray | 1 | 0 | 0.68 |
| Philippe Mouyon | 2 | 14 | 2.79 |
| Sihem Tebbani | 3 | 12 | 7.61 |
| Guilhem Puyou | 4 | 8 | 1.91 |
| Daniel Alazard | 5 | 8 | 5.86 |