Stabilization of a stratospheric balloon experiment by a new fuzzy controller with a neural process model

Author

Eppler, W. ; Gemmeke, H. ; Cechin, A.L.

Author_Institution

Nucl. Res. Center Karlsruhe, Germany

Volume

1

fYear

1994

fDate

30 Oct-5 Nov 1994

Firstpage

422

Abstract

In a stratospheric balloon experiment the orientation of the instrumentation, mainly an interferometer examining trace gases, has to be stabilized down to 140 μrad while the balloon is pitching. Due to changing process conditions an adaptive nonlinear controller for orientation stabilization is necessary. To solve the problem a new neuro-model based fuzzy controller has been developed. The neural network provides a nonlinear model of the process being controlled. The fuzzy controller is automatically generated by the neural network. A comparison of this neuro-fuzzy controller and a classical PID-controller shows the capability of the proposed approach

Keywords

Michelson interferometers; air pollution; air pollution measurement; environmental science computing; fuzzy control; light interferometry; neural nets; pollution measurement; position control; spectroscopy computing; stratosphere; MIPAS; Michelson Interferometer for Passive Atmospheric Sounding; adaptive nonlinear controller; interferometer; neural network; neuro-model based fuzzy controller; orientation stabilization; stratospheric balloon experiment; trace gases; Adaptive control; Automatic control; Automatic generation control; Fuzzy control; Fuzzy neural networks; Gases; Instruments; Neural networks; Process control; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference, 1994., 1994 IEEE Conference Record

Conference_Location

Norfolk, VA

Print_ISBN

0-7803-2544-3

Type

conf

DOI

10.1109/NSSMIC.1994.474347

Filename

474347