Research Article
Controlling the Output Error for Photo Catalytic Sensor (PCS) Using Fuzzy Logic
Whig P1* and Ahmad SN21Vivekananda Institute of Professional studies, New Delhi, India
2Department of Electronics and Communication Engineering, Jamia Millia Islamia, New Delhi, India
- *Corresponding Author:
- Whig P
Vivekananda Institute of Professional studies, New Delhi, India
Tel: 09811908699
E-mail: pawanwhig@gmail.com
Received date: March 21, 2017; Accepted date: March 31, 2017; Published date: April 07, 2017
Citation: Whig P, Ahmad SN (2017) Controlling the Output Error for Photo Catalytic Sensor (PCS) Using Fuzzy Logic. J Earth Sci Clim Change 8:394. doi:10.4172/2157-7617.1000394
Copyright: © 2017 Whig P, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
This paper presents novel method to control output error of the Photo Catalytic Sensor (PCS) using fuzzy interface. Whig and Ahmad in 2014, proposed the spice model of PCS which is a type of ion sensitive FET and very useful to estimate the parameter BOD (Biological Oxygen Demand) which is generally used to estimate quality of water. PCS can also be used to calculate the amount of concentration level of oxygen required to purify the polluted air and sanitization of surface. The purpose to control the output error due to variation in temperature is due to the fact that the fluctuation of O2 influence the threshold voltage, which is internal parameter of FET can manifest itself as a voltage signal at output but as a function of trans conductance gain. Hence, a system controlled by fuzzy logic which control the output error is proposed. This novel method is very useful because of their simplicity, robustness and successful practical applications. The proposed system is fast in operation which is further helpful for PCS which operates under sub-threshold conditions and reduced computation time. The system is user friendly and the outcomes of simulation are fairly in agreement with the theoretical estimation.
