Since its inception fuzzy control has gained popularity in process parameter control. It has proven the potentiality in wide range of applications ranging from domestic appliances to industrial process control. The implementation of Fuzzy Control on real scale demands for Designing the Fuzzy Control though simple, it involves tedious tuning of membership functions and fuzzy inference rules. Many tuning techniques are being practiced, besides the tuning by Genetic Algorithm. The present paper reports the designing of Fuzzy Logic Temperature controller using Fuzzy Tool Box of MATLAB and interface linkage of furnace temperature sensor and thyristor based drive circuit forelectric bulb acting as a heating element of furnace via MATLAB simulink system model. The tuning of membership function is employed offline using Genetic Algorithm. The tuning and execution of software-hardware co-designed fuzzy logic temperature controller was successfully demonstrated. The results are obtained as expected towards optimizing the set-point temperature.
Cite this article:
Rachana Ravindra Mudholkar. Co-Design Approach to Genetically Tuned Fuzzy Temperature Controller. Research J. Engineering and Tech. 2018;9(3): 253-258. doi: 10.5958/2321-581X.2018.00034.X
Rachana Ravindra Mudholkar. Co-Design Approach to Genetically Tuned Fuzzy Temperature Controller. Research J. Engineering and Tech. 2018;9(3): 253-258. doi: 10.5958/2321-581X.2018.00034.X Available on: https://www.ijersonline.org/AbstractView.aspx?PID=2018-9-3-4