Zobrazeno 1 - 10
of 2 847
pro vyhledávání: '"Unknown input"'
Publikováno v:
Elektronika ir Elektrotechnika, Vol 30, Iss 3, Pp 23-31 (2024)
This paper introduces a decoupled unknown input observer (DUIO) for Takagi-Sugeno (T-S) systems, designed specifically for the synchronous reluctance motor (SynRM). The proposed DUIO method demonstrates enhanced robustness and accuracy in state estim
Externí odkaz:
https://doaj.org/article/9b2ca9ce3c6046ec96b1a1ffc64cb848
Publikováno v:
In Measurement 15 February 2025 243
Publikováno v:
In Systems & Control Letters February 2025 196
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Introduction: The unscented Kalman filter based on unbiased minimum-variance (UKF-UMV) estimation is usually used to handle the state estimation problem of nonlinear systems with an unknown input. When the nonlinear system is disturbed by non-Gaussia
Externí odkaz:
https://doaj.org/article/a0543723296f48828dbae808142acbd3
Publikováno v:
IEEE Access, Vol 12, Pp 122155-122167 (2024)
This study presents a preliminary investigation of a new strategy for detecting and classifying road hazards, such as potholes and bumps, based on rack force estimation of electric power steering (EPS) systems. The numerous studies on road hazard det
Externí odkaz:
https://doaj.org/article/3ccf96603c01480e980664826eb7a657
Autor:
Wail Hamdi, Ramzi Saadi, Mohamed Yacine Hammoudi, Rabiaa Houili, Mohamed Benbouzid, Yassine Himeur, Sami Miniaoui, Shadi Atalla, Wathiq Mansoor
Publikováno v:
IEEE Access, Vol 12, Pp 42908-42920 (2024)
This study introduces a novel approach to enhance state and unknown input estimation for the synchronous reluctance motor, utilizing the Takagi-Sugeno fuzzy representation. A proportional multi-integral observer structure is introduced, capable of ca
Externí odkaz:
https://doaj.org/article/09d1e665972542098ccd20551284f6b8
Publikováno v:
Sensors, Vol 24, Iss 10, p 3224 (2024)
Sensors are a key component in industrial automation systems. A fault or malfunction in sensors may degrade control system performance. An engineering system model is usually disturbed by input uncertainties, which brings a challenge for monitoring,
Externí odkaz:
https://doaj.org/article/072238f6dbd1434c9bc59e857b2fd6d7
Akademický článek
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Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 11, Iss 4, Pp 1086-1099 (2023)
Dynamic state estimation (DSE) accurately tracks the dynamics of power systems and demonstrates the evolution of the system state in real time. This paper proposes a DSE approach for a doubly-fed induction generator (DFIG) with unknown inputs based o
Externí odkaz:
https://doaj.org/article/c2fd6b908c194db792d3680ec789096d
Autor:
Jeng-Tze Huang, Yu-Wei Jiang
Publikováno v:
IEEE Access, Vol 11, Pp 33069-33079 (2023)
Robust adaptive tracking control design for quadrotors with unknown parameters, including the thrust and the drag factors, is presented. Firstly, the adaptive linearizing control approach is employed for conquering the issues of unknown input gains i
Externí odkaz:
https://doaj.org/article/f31176a76c40414080cea7c17c6423e6