Zobrazeno 1 - 10
of 6 669
pro vyhledávání: '"Model Predictive Control (MPC"'
Autor:
Ali Bebboukha, Redha Meneceur, Labiod Chouaib, Mohammad Anas Anees, Ahmed Elsanabary, Saad Mekhilef, Abualkasim Bakeer, Ibrahim Harbi, Ievgen Zaitsev, Mohit Bajaj
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract This research introduces an advanced finite control set model predictive current control (FCS-MPCC) specifically tailored for three-phase grid-connected inverters, with a primary focus on the suppression of common mode voltage (CMV). CMV is
Externí odkaz:
https://doaj.org/article/1ad030fca17948949e4b8d17363322a3
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
For a class of constrained uncertain nonlinear time-delay systems, how to achieve their stability and robustness is a crucial issue. To this end, this paper proposes a tube-based integral sliding mode predictive control scheme (ISMPC). The model pred
Externí odkaz:
https://doaj.org/article/d28f19c2035c40c482ba174e972f210c
Autor:
Elena SELIM, Ion VONCILĂ
Publikováno v:
Studia Universitatis Babeş-Bolyai. Engineering, Vol 69, Iss 1 (2024)
In this paper is studied the model predictive control (MPC) of an induction machine (IM) drive for wakening applications. The control structure is implemented in Matlab software. The predictive control law is based on finite set combinations imposed
Externí odkaz:
https://doaj.org/article/44b5f84a1cc141b7b25e264ad52940be
Autor:
Yifei Wang, Xiaodong Cui, Dominic Peters, Berkay Çıtmacı, Aisha Alnajdi, Carlos G. Morales-Guio, Panagiotis D. Christofides
Publikováno v:
Digital Chemical Engineering, Vol 12, Iss , Pp 100173- (2024)
Hydrogen plays a crucial role in improving sustainability and offering a clean and efficient energy carrier that significantly reduces greenhouse gas emissions. However, the primary method of industrial hydrogen production, steam methane reforming (S
Externí odkaz:
https://doaj.org/article/b35aa7d54ed54f54b09625b909e609f0
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100367- (2024)
In this paper, a dual deep Q-network (DDQN) energy management model based on long-short memory neural network (LSTM) speed prediction is proposed under the model predictive control (MPC) framework. The initial learning rate and neuron dropout probabi
Externí odkaz:
https://doaj.org/article/06fd5282c6f1404d9d2afa8c84711327
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
In this article, a model predictive control (MPC) with common-mode voltage (CMV) suppression is proposed for single-phase cascaded H-bridge (CHB) inverters, which can also simultaneously achieve control objectives of grid-connected current tracking,
Externí odkaz:
https://doaj.org/article/5fe6644f0d1d420bb95f94df5262900c
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The wake effect reduces the wind speed at downstream wind turbines (WTs), making it necessary for the central controller to collect wind power generation data from each WT. However, wind farms (WFs) face a more complex problem in maintaining the volt
Externí odkaz:
https://doaj.org/article/2d02caddbcc74e30a48c6163c8c4cf85
Publikováno v:
Electronics Letters, Vol 60, Iss 13, Pp n/a-n/a (2024)
Abstract An improved model predictive control (MPC) with Luenberger state observer is proposed in this article for LC‐coupling hybrid active power filter (LC‐HAPF). Traditionally, the implementation of MPC for LC‐HAPF requires additional sensor
Externí odkaz:
https://doaj.org/article/002dd5439fee4ebda66699ae813a563a
Publikováno v:
Advances in Applied Energy, Vol 14, Iss , Pp 100177- (2024)
Wind power exhibits low controllability and is situated in dispersed geographical locations, presenting complex coupling and aggregation characteristics in both temporal and spatial dimensions. When large-scale wind power is integrated into the power
Externí odkaz:
https://doaj.org/article/93627d3fb3ca4b94837e182d02218bd8
Publikováno v:
Advances in Applied Energy, Vol 14, Iss , Pp 100167- (2024)
Building energy flexibility plays a critical role in demand-side management for reducing utility costs for building owners and sustainable, reliable, and smart grids. Realizing building energy flexibility in tropical regions requires solar photovolta
Externí odkaz:
https://doaj.org/article/e476e5be911845158b1afa60888a8999