Comparative Performance Study of Optimal Interval Type-2 Fuzzy PID Controllers with Practical System
DOI:
https://doi.org/10.26438/ijcse/v8i3.16Keywords:
Particle swarm optimization(PSO), Cuckoo search algorithm (CS), Bee colony algorithm(BCA), Interval type-2 fuzzy controllerAbstract
In this paper, the input and output scaling factors of the type-2 fuzzy PID Controller (IT2-FPID) are determined using three different optimization algorithms (Cuckoo search (CS), Particle swarm optimization (PSO), and Bee colony algorithm (BCA)) for a first-order integrating plus dead time (FOIPD) model. A comparative performance study is made for these three optimization algorithms in terms of various transient performance indices. The comparative analysis on the experimental results reveals that BCA based optimal IT2-FPID shows better performance on a simulation model whereas CS based optimal IT2-FPID is found to be superior for practical system over other algorithms.
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