The Open Automation and Control Systems Journal

2015, 7 : 415-420
Published online 2015 May 29. DOI: 10.2174/1874444301507010415
Publisher ID: TOAUTOCJ-7-415

Linearization Method of Carrier Catalytic Gas Sensor Characteristics Using High-Order Polynomial

Huang Weiyong , Gao Yuqing and Tian Xiuling
School of Information and Electrical Engineering, Xuzhou Institute of Technology, Jiangsu, 221111, P.R. China.

ABSTRACT

To improve detecting performance of gas concentration in coal-mine, a new linearization method of carrier catalytic gas sensor characteristics based on high-order polynomials was introduced. Firstly, the calibration data of sensor was used to establish the training sample set. Then, the high-order polynomial was employed to establish nonlinear regression inverse model of sensor characteristics. Finally, the polynomial coefficients were intelligently tuned by improved clone selection algorithm (ICSA) and the criteria of mean absolute error (MAE) minimization. Experimental results showed that the method proposed in this paper is effective, and the performance of linearization model is superior to that of the traditional least square method.

Keywords:

Carrier catalytic gas sensor, Linearization, High-order polynomial, Clone selection algorithm.