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Surge disturbance suppression of AMB-rotor systems in magnetically suspension centrifugal compressors
X Han, G Liu, B Chen, S Zheng - IEEE Transactions on Control …, 2021 - ieeexplore.ieee.org
Surge is one of the main factors affecting the stability of the centrifugal compressor. This
article investigates surge disturbance suppression of active magnetic bearing (AMB)-rotor …
article investigates surge disturbance suppression of active magnetic bearing (AMB)-rotor …
A new model for compressor surge and stall control
This paper compares the bifurcations and closed-loop performances of two compressor
models, Moore-Greitzer (MG) and a developed model based on MG (Shahriyari Khaleghi …
models, Moore-Greitzer (MG) and a developed model based on MG (Shahriyari Khaleghi …
Robust adaptive backstep** active control of compressor surge based on wavelet neural network
H Sheng, Q Chen, J Li, Z Li, Z Wang, T Zhang - Aerospace Science and …, 2020 - Elsevier
Surge active control can extend the stable operating range of the compressor. Most of the
previous active control algorithms can only work on the basis that compression …
previous active control algorithms can only work on the basis that compression …
[HTML][HTML] A high-safety active/passive hybrid control approach for compressor surge based on nonlinear model predictive control
H Sheng, C Qian, J Zhang, T Zhang - Chinese Journal of Aeronautics, 2023 - Elsevier
Surge active control can expand the stable operating range of the compressor. However, the
difficulty of flow measurement, dynamic uncertainty disturbance, actuator delay …
difficulty of flow measurement, dynamic uncertainty disturbance, actuator delay …
[HTML][HTML] Deep reinforcement learning based active surge control for aeroengine compressors
X Zhang, LIN Zhonglin, JI Runmin, T Zhang - Chinese Journal of …, 2024 - Elsevier
This study proposes an active surge control method based on deep reinforcement learning
to ensure the stability of compressors when adhering to the pressure rise command across …
to ensure the stability of compressors when adhering to the pressure rise command across …
A novel LMI-based robust adaptive model predictive control for DFIG-based wind energy conversion system
H Zhang, J Hao, C Wu, Y Li, A Sahab - Systems Science & Control …, 2019 - Taylor & Francis
In wind turbine systems, the optimal, effective and robust operation of the doubly fed
induction generator (DFIG) is especially important. This paper presents a new robust …
induction generator (DFIG) is especially important. This paper presents a new robust …
A new robust LMI-based model predictive control for continuous-time uncertain nonlinear systems
L Huofa, H Imani Marrani - Automatika, 2020 - Taylor & Francis
This paper presents a new robust predictive controller for a special class of continuous-time
non-linear systems with uncertainty. These systems have bounded disturbances with …
non-linear systems with uncertainty. These systems have bounded disturbances with …
Cylinder-piston application for surge prevention and energy efficiency in an industrial compression unit
A Ghanbari, K Mazaheri - Heliyon, 2024 - cell.com
Compressions are prevalent in industrial applications and are notable for their substantial
energy consumption. Therefore, the simulation and analysis of the compression process are …
energy consumption. Therefore, the simulation and analysis of the compression process are …
Finite-time adaptive sliding mode control for compressor surge with uncertain characteristic in the presence of disturbance
L Fu, X Fu, M Taleb Ziabari - Systems Science & Control …, 2021 - Taylor & Francis
In this paper, a novel control approach is designed for surge instability in the compressor
system using the finite-time adaptive sliding mode scheme. The primary novelty of this study …
system using the finite-time adaptive sliding mode scheme. The primary novelty of this study …
A new robust adaptive decentralized tube model predictive control of continuous time uncertain nonlinear large-scale systems
S Fazeli, N Abdollahi, H Imani Marrani… - Cogent …, 2019 - Taylor & Francis
In this paper, a new decentralized model predictive control has been proposed for
continuous-time nonlinear large-scale systems made of multiple interconnected subsystems …
continuous-time nonlinear large-scale systems made of multiple interconnected subsystems …