Title :
A neural system for frequency control of tunable laser sources
Author :
Ricci, Leonardo ; Tecchiolli, Giampietro
Author_Institution :
Dipt. di Fisica, Trento Univ., Italy
Abstract :
A new method for control and stabilization of the frequency separation between two laser sources is presented The system is based on an artificial neural network controller implementing a Radial Basis Function Network or a Multi-Layer Perceptron Network. The system performs fast processing of the signal produced by a scanning Fabry-Perot resonator to evaluate the frequency separation with good precision and bandwidth. The flexibility and the low cost make this approach suitable for application in spectroscopy and related fields. The system can be applied without substantial modifications to any tunable laser source
Keywords :
Fabry-Perot resonators; computerised control; computerised instrumentation; frequency control; laser accessories; laser beam applications; laser frequency stability; multilayer perceptrons; physical instrumentation control; spectroscopic light sources; artificial neural network controller; cost; flexibility; frequency control; frequency separation; laser sources; multilayer perceptron network; neural system; radial basis function network; scanning Fabry-Perot resonator; spectroscopy; stabilization; tunable laser source; tunable laser sources; Artificial neural networks; Control systems; Frequency control; Laser stability; Multilayer perceptrons; Optical control; Performance evaluation; Radial basis function networks; Signal processing; Tunable circuits and devices;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-3747-6
DOI :
10.1109/IMTC.1997.603952
