FI-NPI: Exploring optimal control in parallel platform systems

R Wang, Q Gu, S Lu, J Tian, Z Yin, L Yin, W Zheng - Electronics, 2024 - mdpi.com
Typically, the current and speed loop closure of servo motor of the parallel platform is
accomplished with incremental PI regulation. The control method has strong robustness, but …

Neuro-intelligent networks for Bouc–Wen hysteresis model for piezostage actuator

S Naz, MAZ Raja, A Mehmood, A Zameer… - The European Physical …, 2021 - Springer
Piezoelectric stage has become promising actuator for wide applications of micro-/nano-
positioning systems represented mathematically with Bouc–Wen hysteresis model to …

Modelling and controlling dissolved oxygen in recirculating aquaculture systems based on mechanism analysis and an adaptive PID controller

X Zhou, J Wang, L Huang, D Li, Q Duan - Computers and Electronics in …, 2022 - Elsevier
In aquaculture, dissolved oxygen (DO) content is critical to the growth and development of
aquatic products, and it must be precisely controlled. Based on the theory of microporous …

Modeling the prediction of hydrogen production by co‐gasification of plastic and rubber wastes using machine learning algorithms

BV Ayodele, SI Mustapa, R Kanthasamy… - … Journal of Energy …, 2021 - Wiley Online Library
This study aimed to investigate the application of radial basis function (RBF) and multilayer
perceptron (MLP) artificial neural networks for modeling hydrogen production by co …

Direct inverse hysteresis compensation of piezoelectric actuators using adaptive Kalman filter

Y Qin, H Duan, J Han - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
The hysteresis of the piezoelectric actuator exhibits obvious rate dependence, especially in
fast scanning or tracking. This article proposes an adaptive hysteresis compensation method …

Islanded Microgrids Frequency Support Using Green Hydrogen Energy Storage with AI-Based Controllers

HM El Zoghby, A Safwat, AF Bendary, A Hazem… - IEEE …, 2024 - ieeexplore.ieee.org
Islanded microgrids, powered by renewable energy sources, offer a sustainable electricity
solution for remote areas. However, maintaining frequency stability in these systems …

High-bandwidth hysteresis compensation of piezoelectric actuators via multilayer feedforward neural network based inverse hysteresis modeling

Y Qin, Y Zhang, H Duan, J Han - Micromachines, 2021 - mdpi.com
This paper proposes a feedforward and feedback combined hysteresis compensation
method for a piezoelectric actuator (PEA) based on the multi-layer feedforward neural …

Closed-LSTM neural network based reference modification for trajectory tracking of piezoelectric actuator

J Li, Y Huang, Q Li, Y Li - Neurocomputing, 2022 - Elsevier
In this article, we propose a trajectory tracking control method for piezoelectric actuators
(PEAs) based on long short-term memory neural network (LSTM-NN). Different from …

Advances in tracking control for piezoelectric actuators using fuzzy logic and hammerstein-wiener compensation

C Napole, O Barambones, I Calvo, M Derbeli, MY Silaa… - Mathematics, 2020 - mdpi.com
Piezoelectric actuators (PEA) are devices that are used for nano-microdisplacement due to
their high precision, but one of the major issues is the non-linearity phenomena caused by …

Machine learning approach for modeling and control of a commercial heliocentris FC50 PEM fuel cell system

M Derbeli, C Napole, O Barambones - Mathematics, 2021 - mdpi.com
In recent years, machine learning (ML) has received growing attention and it has been used
in a wide range of applications. However, the ML application in renewable energies systems …