Control technologies of wastewater treatment plants: the state-of-the-art, current challenges, and future directions

M Faisal, KM Muttaqi, D Sutanto, AQ Al-Shetwi… - … and Sustainable Energy …, 2023 - Elsevier
Existing pieces of literature on previous studies advocate the research focus by various
researchers to reach the benchmark of energy efficiency of Wastewater Treatment Plants …

Open-winding permanent magnet synchronous generator for renewable energy—a review

A Rahman, R Dutta, G Chu, D Xiao, VK Thippiripati… - Energies, 2023 - mdpi.com
The open-winding permanent magnet synchronous machines (OW-PMSMs) have recently
been gaining more attention because of their fault-tolerant capability and power quality …

Low-complexity multivector-based model predictive torque control for PMSM with voltage preselection

X Li, Z Xue, X Yan, L Zhang, W Ma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the double-vector-based model predictive torque control (MPTC), two voltage vectors are
applied in one control period. Due to a large number of possible combinations among …

Robust model predictive current control for a nine-phase open-end winding PMSM with high computational efficiency

X Song, H Wang, X Ma, X Yuan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the large number of candidate voltage vectors, there is heavy calculation burden of
finite control set-model predictive control (FCS-MPC) in multiphase open-winding (OW) …

Parallel predictive torque control for induction machines without weighting factors

F Wang, H Xie, Q Chen, SA Davari… - … on Power Electronics, 2019 - ieeexplore.ieee.org
Finite control set model predictive control (FCS-MPC) calculates torque and flux tracking
errors via a cost function that is used for selecting the optimal vector. Compared with field …

Optimal cost function parameter design in predictive torque control (PTC) using artificial neural networks (ANN)

M Novak, H Xie, T Dragicevic, F Wang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The use of artificial neural networks (ANNs) for the selection of weighting factors in cost
function of the finite-set model-predictive control (FS-MPC) algorithm can speed up selection …

Interrupt-free operation of dual-motor four-wheel drive electric vehicle under inverter failure

UR Muduli, AR Beig, K Al Jaafari… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
This article presents a new open-end winding induction motor (OEWIM)-based dual-motor
differential four-wheel drive (D4WD) for the electric vehicle (EV). Constant speed operation …

Predictive control with battery power sharing scheme for dual open-end-winding induction motor based four-wheel drive electric vehicle

UR Muduli, AR Beig, RK Behera… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
For high-power electric vehicles (EVs), the drive propulsion based on induction motors is
emerging as economical alternative. Compared to conventional induction motors, the open …

Low-complexity deadbeat model predictive current control for open-winding PMSM drive with zero-sequence current suppression

MSR Saeed, W Song, B Yu, Z Xie… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The application of model predictive current control (MPCC) on the open-winding permanent
magnet synchronous machine (PMSM) drive system confronts the challenge of complexity …

A universal model predictive control strategy for dual inverters fed OW-PMSM drives

Y Chen, X Wang, X Meng, M He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article proposed a universal model predictive control (MPC) strategy for dual inverters
fed open-winding permanent magnet synchronous motor drives where two isolated buses …