Proportional-Integral-Derivative Parametric Autotuning by Novel Stable Particle Swarm Optimization (NSPSO)
نویسندگان
چکیده
To improve the performance, robustness and stability of autotuning proportional integral derivative (PID) parameter, novel stable particle swarm optimization (NSPSO) is proposed in this paper. The NSPSO combination algorithm with new rule to reconsider survival remaining search space for handling instability system. based on proving according Lypunov theorem. Additionally, show method’s superiority performance robustness, method compared results simulations (PSO), hybrid optimization-grey wolf (PSO-GWO), whale (WOA) social spider (SSO) a direct current (DC) motor control In comparative various fitness functions are applied, while changed operation point DC applied. After comparing methods, obtains better than PSO, PSO-GWO, WOA SSO both robustness.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3167026