Results 11 to 20 of about 44 (41)
A predictive control method for switching sequence selection based on SVPWM for five‐level converter
This paper proposes a novel multilevel predictive control method for switch‐sequence‐selection (PC‐SSS). This method is an improved optimal predictive control method with no weight factors to solve the problem of selecting the weight factor of traditional predictive control.
Zhan Liu +4 more
wiley +1 more source
Model predictive direct power control scheme for Vienna rectifier with constant switching frequency
Abstract Model predictive direct power control (MPDPC) has strong robustness and fast dynamic response, so it is widely applied in the control system of grid‐connected converter. However, the traditional FCS‐MPC bears with variable switching state, which will reduce the current tracking accuracy, accidentally produce current ripple and electromagnetic ...
Chaoliang Dang +5 more
wiley +1 more source
The distributed energy management of interconnected microgrids, which is based on model predictive control (MPC), relies on the cooperation of all the agents (i.e., microgrids). Model predictive control or MPC is widely used in industrial applications as an effective tool for dealing with multivariable limited control problems.
Iman Sayedi +3 more
wiley +1 more source
A low‐complexity FS‐MPDPC with extended voltage set for grid‐connected converters
Abstract The conventional finite control set model predictive control (FS‐MPC) for converter control is a well‐studied area, but performance degradation due to the finite candidate vector set is still limiting its practical applications. Extending the voltage vector set using discrete space vector modulation has been proposed as a solution to overcome ...
Shamini Dharmasena +2 more
wiley +1 more source
This paper proposes a novel predictive strategy based on a model predictive control (MPC) for the interior permanent magnet synchronous motors (IPMSMs) driven by a three‐level simplified neutral‐point clamped inverter (3L‐SNPC) for electric vehicle applications (EVAs).
Abdiddaim Katkout +3 more
wiley +1 more source
Model predictive control for energy efficient AC motor drives: An overview
This paper reviews advanced model‐based predictive control (MPC) techniques for AC motor drives, particularly focusing on predictive torque control (PTC) and predictive current control (PCC). It categorises MPC algorithms based on actuation signals, analyzes recent research, and highlights challenges like computational complexity reduction and ...
Muhammad Bilal Shahid +8 more
wiley +1 more source
A review of finite control set model predictive control for linear machines
Firstly, based on the three elements of FCS‐MPC, the advantages and shortcomings of the FCS‐MPC method in applications are fully investigated. The research status in FCS‐MPC has been summarised, such as multistep MPC, parameters robustness improvement, fast optimisation, and multi‐vector MPC.
Wei Xu +5 more
wiley +1 more source
Using spatial massspectrometry imaging in conjunction with multiplex mass cytometry imaging andimmuno‐histochemistry, disease related peri‐amyloid‐β plaque lipidomicdisruptions were captured in both mouse and human. These changes were subsequently colocalised with increased CD68 and LAMP1 upregulation.
Helen Xuexia Huang +16 more
wiley +1 more source
Model predictive direct power control (MPDPC) is a suitable method for the highly nonlinear system of a three‐level Vienna rectifier. However, the traditional MPDPC suffers from irregular switching states, which can decrease current tracking accuracy and generate high current ripple and electromagnetic noise.
Xiaoyun Sun +4 more
wiley +1 more source
Permanent magnet synchronous motor (PMSM) has been widely used in industry due to the advantages of high efficiency, high power density and high reliability.
LIU Xing +4 more
doaj +1 more source

