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IJSTR >> Volume 9 - Issue 1, January 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Optimum Design of PID Controller using Multi-objective CBBO Algorithm

[Full Text]

 

AUTHOR(S)

Manjeet Kaur, Anil Kumar, Aasish Kumar Luhach

 

KEYWORDS

PID Controller, Biogeography-Based Optimization (BBO), Genetic Algorithm (GA), chaotic biogeography-based optimization (CBBO).

 

ABSTRACT

This paper offerings request of chaotic biogeography-based optimization (CBBO) for Proportional-Integral-Derivative (PID) Controller tuning. Tuning of parameters is primarily based upon maximization of all-inclusive fitness function created as inverse of weighted sum of Integral of Square of Error (ISE), Rise Time (Tr), Peak Overshoot (Mp), and Settling Time (Ts) for a category of stable and risky gadget through by CBBO set of rules. The measurement of exploration planetary is handiest 3 parameters, i.e., KP, KI and KD; so, a set weight is assigned for inertia parameter. The main impartial of this paper is to diminish PID controller’s specifications at numerous inertia loads. The proposed scheme shows outstanding closed-loop performance of 2nd order system and out of control device and to display the efficacy of proposed scheme the simulation outcomes are equated with BBO and genetic algorithm.

 

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