Artificial intelligence and machine learning in energy conversion and management

K Mira, F Bugiotti, T Morosuk - Energies, 2023 - mdpi.com
In the modern era, where the global energy sector is transforming to meet the
decarbonization goal, cutting-edge information technology integration, artificial intelligence …

Design of an adaptive controller to capture maximum power from a variable speed wind turbine system without any prior knowledge of system parameters

N Movahhed Neya, S Saberi… - Transactions of the …, 2022 - journals.sagepub.com
Even though some wind turbine manufacturers are no longer active, and are not willing to
disclose their intellectual property, their turbines are still in operation. Since the exact values …

Robust adaptive parameter estimator design for a multi-sinusoidal signal with fixed-time stability and guaranteed prescribed performance boundary of estimation error

H Dastres, SM Ebrahimi, M Malekzadeh… - Journal of the Franklin …, 2023 - Elsevier
In online parameter estimation, fast and accurate estimation without dependence on the
initial conditions with good transient properties is an essential issue. Hence, in this paper, a …

Robust adaptive direct speed control of PMSG-based airborne wind energy system using FCS-MPC method

S Saberi, B Rezaie - ISA transactions, 2022 - Elsevier
Electricity generation using airborne wind energy system (AWES) tends to be more efficient
than that of conventional wind turbines due to their ability at extracting higher speeds from …

Sensor fault detection and compensation with performance prescription for robotic manipulators

SM Ebrahimi, F Norouzi, H Dastres, R Faieghi… - Journal of the Franklin …, 2024 - Elsevier
This paper focuses on sensor fault detection and compensation for robotic manipulators.
The proposed method features a new adaptive observer and a new terminal sliding mode …

Anti-disturbance State-of-Charge Estimation for Lithium-ion Batteries Using Nonlinear Extended State Observers

S Zhang, X Wang, Z Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, the nonlinear extended state observer (NESO) is proposed to estimate the
state-of-charge (SOC) for the Lithium-ion batteries (LIBs). The NESO is designed based on …

Enhanced Fast Terminal Sliding Mode Observer for Wide-Speed Sensorless Control of PM Vernier Ship Propulsion Machine Drives

V Teymoori, H Dastres, MJ Kamper… - … Machines and Power …, 2023 - ieeexplore.ieee.org
This paper proposes an enhanced fast terminal sliding-mode observer (FTSMO) for the wide-
speed sensorless control of a vernier machine used in ship-propulsion system. The method …

Improved Fixed Time Sliding Mode Observer for Sensorless Operation of Permanent Magnet Synchronous Generator Wind Turbine

V Teymoori, H Dastres, MJ Kamper… - 2024 IEEE Canadian …, 2024 - ieeexplore.ieee.org
This article presents a refined fixed time sliding-mode observer (FTSMO) developed for wide-
speed sensorless control of permanent magnet synchronous generator wind turbines …

A New L1 Neural Network Adaptive Wind Turbine Pitch Control Strategy

H Hu, L Peng, X Li, Y Chen, J Yan… - Journal of Circuits …, 2024 - shibata.yubetsu.com
A New L1 Neural Network Adaptive Wind Turbine Pitch Control Strategy - Yubetsu Shibata
Yubetsu Shibata logo About Browse Contact 1.Journal of Circuits, Systems and Computers …

Robust State of Charge Estimation of Batteries Using Nonlinear Control Techniques

M Jahannoush, A Naderipour, Z Ali… - 2022 IEEE PES 14th …, 2022 - ieeexplore.ieee.org
In this paper, a novel adaptive state estimator is proposed for Zinc-Ion batteries, based on
second-order Sliding Mode Control (SMC). As these batteries involve nonlinear terms and …