Application of neural network and spheric harmonics function to system error correction of electro-optical tracker system with X-Y gimbal

Xingfa Liu

doi:10.1117/12.782993

14 November 2007 Application of neural network and spheric harmonics function to system error correction of electro-optical tracker system with X-Y gimbal

Xingfa Liu

Author Affiliations +

Proceedings Volume 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies; 67221A (2007) https://doi.org/10.1117/12.782993
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China

Abstract

Correction of the system error of electro-optical tracker system could improve the measurement accuracy and guidance accuracy. Least square method has lower accuracy than spheric harmonics function method. Neural network could fit precisely complicated curves or curved faces and the system error of electro-optical tracker system with X-Y gimbal is locate on a curve composed of angle values. Analysis and simulation prove that BP neural network method improves the accuracy than spheric harmonics function method for about 8% and could have wider application scope.

Citation Download Citation

Xingfa Liu "Application of neural network and spheric harmonics function to system error correction of electro-optical tracker system with X-Y gimbal", Proc. SPIE 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 67221A (14 November 2007); https://doi.org/10.1117/12.782993

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