Tuning of PID Controller Using Whale Optimization Algorithm for Different Systems

In this paper, a recently developed meta-heuristic optimization method, Whale optimization Algorithm (WOA) is used to tune the parameters of PID controller for different systems. The algorithm is evaluated by setting integral absolute error and integral time absolute error as objective function for...

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Bibliographic Details
Published in2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) pp. 1 - 5
Main Authors Khaleeq uz Zaman, Uzair, Naveed, Kanwal, Kumar, Atal Anil
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.05.2021
Subjects
Control systems
integral absolute error
Linear programming
meta-heuristic algorithm
Optimization methods
Particle swarm optimization
PID controller
Robustness
System performance
Transfer functions
whale optimization algorithm
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Summary:In this paper, a recently developed meta-heuristic optimization method, Whale optimization Algorithm (WOA) is used to tune the parameters of PID controller for different systems. The algorithm is evaluated by setting integral absolute error and integral time absolute error as objective function for various transfer functions. The results obtained are compared with Ziegler-Nichols (Z-N), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The results prove the effectiveness of the proposed algorithm and provides the researchers with options for improved system performance.
DOI:10.1109/ICoDT252288.2021.9441526