Controlador Neuro-Robusto Controlador Neuro-Robusto para sistemas no lineales para sistemas no lineales

Resumen

This work shows a new

method to obtain the tuning

parameters of a controller

based on PID topology in

standard format in order to

lead the controlled system to

a stable state. This technique

is based on the well known

Gain Scheduling method.

Firstly, the system is identifi ed

for each key operating point

obtaining the corresponding

transfer functions by means

of least squares techniques.

Then the stability structures are

calculated using the transfer

functions aiming to train

an artifi cial neural network

which prevents the system

from becoming unstable.

Finally, the proposed method

is experimentally verifi ed on a

laboratory plant.