Proportional-Integral-Derivative Parametric Autotuning by Novel Stable Particle Swarm Optimization (NSPSO)-Reference-Cited by-同舟云学术

Proportional-Integral-Derivative Parametric Autotuning by Novel Stable Particle Swarm Optimization (NSPSO)

Published:2022 Issue: Volume:10 Page:40818-40828
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Assawinchaichote Wudhichai¹^ORCID,Angeli Chrissanthi²,Pongfai Jirapun¹

Affiliation:

1. Department of Electronic and Telecommunication Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

2. Department of Electrical and Electronics Engineering, Faculty of Engineering, University of West Attica, Athens, Greece

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09756514.pdf?arnumber=9756514

Reference46 articles.

1. Tuning of Digital PID Controllers Using Particle Swarm Optimization Algorithm for a CAN-Based DC Motor Subject to Stochastic Delays

2. PSO-GWO Optimized Fractional Order PID Based Hybrid Shunt Active Power Filter for Power Quality Improvements

3. Optimal Design and Simulation for PID Controller Using Fractional-Order Fish Migration Optimization Algorithm

4. A PID parameter tuning method based on the improved QUATRE algorithm;qiang;Algorithms,2021

5. A novel Green Leaf‐hopper Flame optimization algorithm for competent frequency regulation in hybrid microgrids

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