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 …
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Even though some wind turbine manufacturers are no longer active, and are not willing to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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
This article presents a refined fixed time sliding-mode observer (FTSMO) developed for wide-
speed sensorless control of permanent magnet synchronous generator wind turbines …
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 …
Yubetsu Shibata logo About Browse Contact 1.Journal of Circuits, Systems and Computers …
Robust State of Charge Estimation of Batteries Using Nonlinear Control Techniques
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 …
second-order Sliding Mode Control (SMC). As these batteries involve nonlinear terms and …