Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jirapun Pongfai"'
Publikováno v:
IEEE Access, Vol 10, Pp 40818-40828 (2022)
To improve the performance, robustness and stability of autotuning the proportional integral and derivative (PID) parameter, the novel stable particle swarm optimization (NSPSO) is proposed in this paper. The NSPSO is the combination of the particle
Externí odkaz:
https://doaj.org/article/3a1edbaac37340feb2ea286c68e6545d
Publikováno v:
IEEE Access, Vol 8, Pp 50010-50021 (2020)
The proportional integral and derivative (PID) controller is extensively applied in many applications. However, three parameters must be properly adjusted to ensure effective performance of the control system: the proportional gain (KP), integral gai
Externí odkaz:
https://doaj.org/article/5f93bf1b3b82485c96d182f60fab16ef
Publikováno v:
IEEE Access, Vol 8, Pp 128796-128808 (2020)
Novel nonlinear feedback control based on the dragonfly swarm learning process (D-SLP) algorithm is proposed in this paper. This approach improves the performance, stability and robustness of designing the nonlinear system controller. The D-SLP algor
Externí odkaz:
https://doaj.org/article/0d83b26a54b0479a9b4010994ccfdddb
Publikováno v:
Information Sciences. 609:339-352
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea912e6ce45483deeab5133748302238
https://doi.org/10.1016/j.ins.2022.07.076
https://doi.org/10.1016/j.ins.2022.07.076
Publikováno v:
International Journal of Control, Automation and Systems. 19:392-403
In this paper, an adaptive swarm learning process (SLP) algorithm for designing the optimal proportional integral and derivative (PID) parameter for a multiple-input multiple-output (MIMO) control system is proposed. The SLP algorithm is proposed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08911ab4bb4de9012e8a01dec5b652cd
https://doi.org/10.1007/s12555-019-0680-6
https://doi.org/10.1007/s12555-019-0680-6
Publikováno v:
IEEE Access, Vol 8, Pp 50010-50021 (2020)
The proportional integral and derivative (PID) controller is extensively applied in many applications. However, three parameters must be properly adjusted to ensure effective performance of the control system: the proportional gain (KP), integral gai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92b9631dcf7671274987f2c460ce48db
https://doi.org/10.1109/access.2020.2979810
https://doi.org/10.1109/access.2020.2979810
Publikováno v:
IEEE Access, Vol 8, Pp 128796-128808 (2020)
Novel nonlinear feedback control based on the dragonfly swarm learning process (D-SLP) algorithm is proposed in this paper. This approach improves the performance, stability and robustness of designing the nonlinear system controller. The D-SLP algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b35c4c699ed313a5daca0aadbae1aa38
https://ieeexplore.ieee.org/document/9139927/
https://ieeexplore.ieee.org/document/9139927/
Publikováno v:
Expert Systems. 37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b28a70cdca35e1c1df30c11872a0c479
https://doi.org/10.1111/exsy.12489
https://doi.org/10.1111/exsy.12489
Publikováno v:
2017 International Electrical Engineering Congress (iEECON).
This paper considers the comparison performance and effectiveness of the PID controller auto-tuning for brushless DC motor (BLDC motor) by applying artificial intelligence (AI) algorithm and the classical method of PID parameters tuning. Neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56e94e257e5bb7c52f5d541f64c49c35
https://doi.org/10.1109/ieecon.2017.8075892
https://doi.org/10.1109/ieecon.2017.8075892