Tuning of PID Controller Using Whale Optimization Algorithm for Different Systems

Autor: Kanwal Naveed, Atal Anil Kumar, Uzair Khaleeq uz Zaman
Rok vydání: 2021
Předmět:
Zdroj: 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2).
DOI: 10.1109/icodt252288.2021.9441526
Popis: 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.
Databáze: OpenAIRE