Piecewise-Linear Neural Model for Helicopter Elevation Control

Abstract

The contribution is focused on helicopter elevation control. The experiments are performed on helicopter model, which is significantly nonlinear plant and it simulates in some simplified way dynamics of real helicopter. There is derived new way to control it which uses piecewise-linear neural model. As it is shown at the end of the paper, this new control algorithm brings decent performance improvement compared to certain classical control technique.