Design of Adaptive Neuro-Fuzzy Controller forFlow Systems

ABSTRACT

This paper presents three methods for controlling the flow of liquids.  This is highly important in industrial applications such as boilers in nuclear power plants. The paper investigates the effectiveness of water flow rate using Proportional-Integral-Derivative (PID), Fuzzy Logic (FL) and Adaptive Neuro-Fuzzy (ANFS) controllers. These three controllers are implemented in MATLAB/SIMULINK to test the behaviour of the system. The responses of the three controllers are compared with each other. The results show that the ANFIS is the best controller than the other two controllers, with small overshoot, minimal rise time and zero steady state error.

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Updated: June 26, 2023 — 2:41 am