Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Haoyao Nie"'
Autor:
Haoyao Nie, Xiaohua Nie
Publikováno v:
Energies, Vol 14, Iss 23, p 8175 (2021)
Kalman filter (KF) is often based on two models, which are phase angle vector (PAV) model and orthogonal vector (OV) model, in the application of distorted grid AC signal detection. However, these two models lack rigorous and detailed derivation from
Externí odkaz:
https://doaj.org/article/d9b2a332bea04c539251c0dde68c6ed3
Autor:
Haoyao Nie, Xiaohua Nie
Publikováno v:
Energies, Vol 14, Iss 23, p 7944 (2021)
This paper newly proposes an interactive multiple model (IMM) algorithm to adaptively track distorted AC voltage with the grid frequency fluctuation. The usual tracking methods are Kalman filter (KF) algorithm with a fixed frequency and KF algorithm
Externí odkaz:
https://doaj.org/article/c913006062004c0f87d6ac18edd95914
Autor:
Xiaohua Nie, Haoyao Nie
Publikováno v:
Journal of Control Science and Engineering, Vol 2017 (2017)
This work presents a maximum power point tracking (MPPT) based on the particle swarm optimization (PSO) improved shuffled frog leaping algorithm (PSFLA). The swarm intelligence algorithm (SIA) has vast computing ability. The MPPT control strategies o
Externí odkaz:
https://doaj.org/article/3a72a6d807b94c4e8a98dff80618fd0b
Autor:
Xiaohua Nie, Haoyao Nie
Publikováno v:
Energies, Vol 14, Iss 7944, p 7944 (2021)
Energies; Volume 14; Issue 23; Pages: 7944
Energies; Volume 14; Issue 23; Pages: 7944
This paper newly proposes an interactive multiple model (IMM) algorithm to adaptively track distorted AC voltage with the grid frequency fluctuation. The usual tracking methods are Kalman filter (KF) algorithm with a fixed frequency and KF algorithm
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2017 (2017)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Cat Swarm Optimization (CSO) algorithm was put forward in 2006. Despite a faster convergence speed compared with Particle Swarm Optimization (PSO) algorithm, the application of CSO is greatly limited by the drawback of “premature convergence,” th
Autor:
Haoyao Nie, Xiaohua Nie
Publikováno v:
Journal of Control Science and Engineering, Vol 2017 (2017)
This work presents a maximum power point tracking (MPPT) based on the particle swarm optimization (PSO) improved shuffled frog leaping algorithm (PSFLA). The swarm intelligence algorithm (SIA) has vast computing ability. The MPPT control strategies o