Positional Control of a Flexible Structure using Neural Networks

Abstract

This paper presents an adaptive inverse control approach for the positional control of an unconstrained multibody system with flexible appendages. The approach is called Feedback-Error-Learning and it is based on the output of a feedback controller with fixed parameters to adapt a neural network which acts as a feedforward controller. The results are demonstrated by simulations using a high fidelity dynamic model of a experimental setup