Implementation of Fuzzy Control for a Nonlinear System - Conical Level Process

Ashutha, K and Yadav, Eadala Sarath and Thirunavukkarasu, I and Shreesha, C (2018) Implementation of Fuzzy Control for a Nonlinear System - Conical Level Process. In: International Conference on Information Technology and Electrical Engineering, 12/10/2017, Phuket, Thailand.

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Fuzzy logic is the trending control strategy and ideal in its performance to the real world of control. It has been implemented in most of the control fields because of its expertise in fault tolerance, knowledge representation, nonlinearity, uncertainty, real time operation etc. In this paper mamdani type of fuzzy controller is considered for controlling nonlinear conical tank process. The identification of conical tank system is performed by two point method and fuzzy controller is implemented. The results of fuzzy controller is compared with AMIGO (Approximate M constrained Integral Gain Optimization) and conventional controllers for evaluating its performance indices like IAE, ITAE and ISE using MATLAB simulation environment and real time experimentation was also carried out. It is also observed that the fuzzy controllers perform better than that of AMIGO PI and conventional PI controller

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Fuzzy Controller, Mamdani AMIGO, Nonlinear process, conical tank
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 14 Feb 2018 10:06
Last Modified: 14 Feb 2018 10:06

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