Direct Inverse Control Based on Neural Network for Unmanned Small Helicopter Attitude and Altitude Control

Volume: 9, Pages: 99 - 102
Published: Jun 1, 2017
Abstract
This paper describes the development of inner loop control of a small helicopter using artificial neural network. A Direct Inverse Control (DIC) based on Neural Network is proposed to maintain the attitude (roll, pitch, and yaw) position on the helicopter hovering state, for several different altitude values. The adopted neural networks learning method to train the network is the backpropagation algorithm. Simulations using real experimental...
Paper Details
Title
Direct Inverse Control Based on Neural Network for Unmanned Small Helicopter Attitude and Altitude Control
Published Date
Jun 1, 2017
Volume
9
Pages
99 - 102
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