介紹了模擬人類皮膚結構而設計的光纖智能皮膚觸覺傳感器,它輸出信號為多路和非線性的,采用傳統方法處理有一定的困難. 為此,利用了準共路光路補償方法對信號進行預處理,分析表明在一定程度上可以消除光源起伏和外界光路隨機微彎損耗以及溫度變化所帶來的干擾. 又采用人工神經網絡對其進行信號處理. 為了簡化網絡,探測面被劃分成9 個網格區域,并聯合使用了Kohonen 算法和BP 模型. 測試的結果表明,對施加在智能皮膚表面上任意一點上的外加壓力,可以分辨出外加壓力的大小和位置.
關　鍵　詞:光纖智能皮膚;人工神經網絡;觸覺傳感器
Abstract :An artificial neural network was used to process. The mult1idimensional and nonlinear output s of the sensor array. It’s difficult to process the signal in t raditional way. Pret reated by a quasi- syn-optical path compensating method , which eliminates the interferences resultign f rom fluctuating voltage and tempera2 ture. To simplify the network , skin was divided into nine sections ,and both kohonen arithmetic and BP model were used . Result s show that when an intelligent skin was pressed , the sensor can reliably estimate
teh magnitude of pressure value and it s position.
Key words :fiber-optical intelligent skin ; artificial neural network ; tactile sensor