학술논문
Satellite borne Fiber Optical Gyroscope thermal bias compensation network based on neuro-fuzzy logic
Document Type
TEXT
Author
Source
Neural network world: international journal on neural and mass-parallel computing and information systems | 2006 Volume:16 | Number:6
Subject
Language
English
Abstract
The Fiber Optical Gyroscope (FOG) will be affected by a Thermal Bias Error (TBE) in the space application, and a thermal bias error compensation is needed for keeping the accuracy of the FOG. A Thermal Bias Compensating Network (TBCN) based on the Neuro-Fuzzy logic is proposed in the paper. The network uses an Adaptive Neuro-Fuzzy Inference System (ANFIS) to compensate the TBE. The parameters of the ANFIS can be initialized by previous training in the ground and modified on space orbit working. Algorithm simulation and ground test have shown that the TBCN has a high capability of tracking and compensating the temperature bias error.