Optimizing Azadi Controller with COA

Cuckoo Optimization Algorithm (COA) is one of the hottest meta-heuristic algorithms. Finding the best optimal point, rapid convergence, simplicity in determining algorithm parameters are some merits of COA. Azadi controller is one of latest method of adaptive controlling. It is simple, robust, effective and immune against noise and plant’s variations. All of them make it unique and without no compotator. To tune it, there are three parameters. On this paper, COA undertakes responsibility of tuning these parameters to achieve the best response. Catalytic Continuous Stirred Tank Reactor (CSTR) is an ordinary industrial system and it is a decent example to survey Azadi controller that is designed by COA. General Terms Adaptive control, Evolutionary Algorithm.

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