當環境溫度變化時電容式壓力傳感器的非線性響應特性也發生很大的變化，為了實現對電容式壓力傳感器的響應特性進行自動非線性補償，提出了基于神經網絡的智能壓力傳感器。該系統由兩個神經網絡組成，一個實現對溫度的補償，另一個實現非線性補償。仿真結果表明，補償后的傳感器輸出誤差低于滿量程的±2.5%。
關鍵詞：神經網絡；自動補償；智能傳感器
Abstract: The nonlinear response characteristics of a capacitive pressure sensor (CPS) changes when ambient temperature changes widely. An intelligent CPS based on artificial neural networks (ANN) is proposed to provide automatic nonlinear compensation and calibration of the CPS characteristics. The proposed ANN-based model is composed of two ANN schemes. The former provides temperature compensation, whereas the latter compensates the nonlinearity. The result of simulation shows that this CPS model can provide correct pressure readout within ±2.5% error (full scale).
Keywords: Artificial Neutral Networks; Automatic Compensation; Intelligent Sensor