• Renu Vashisth
• Naveen Kaushik

The automation of industrial finishing processes in automotive industry requires accurate control of temperature and humidity of the inlet air to guarantee constant product finish quality. Industrial heating, ventilation and air conditioning (HVAC) control systems are used to maintain the required operating conditions for the finishing process even in presence of changes of the ambient air conditions. This paper presents the development of temperature and humidity control strategy for HVAC based on Fuzzy Logic Control (FLC). The goal of the FLC-based temperature control is to satisfy the convergence and equilibrium property. The simulation test results have been shown a satisfactory to control the temperature and humidity. The main objective of the report is to shed light on new this but highly promising approach of adaptive neurofuzzy interface system in control system. The system provides variation of energy consumption by changing input parameter. The stability of system is defined by settling time rise time etc.

HVAC, ANFIS, PID, Fuzzy Logic

"Comparative Analysis of HVAC using PID, Fuzzy and ANFIS Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.751-754, August-2018, Available :http://www.jetir.org/papers/JETIR1808108.pdf

"Comparative Analysis of HVAC using PID, Fuzzy and ANFIS Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp751-754, August-2018, Available at : http://www.jetir.org/papers/JETIR1808108.pdf