Optimal weighting factor design of finite control set model predictive control based on multiobjective ant colony optimization
L Hu, W Lei, J Zhao, X Sun - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
In this article, an improved multiobjective ant colony optimization (ACO) algorithm is
proposed to design the weighting factors (WFs) in the model predictive control of power …
proposed to design the weighting factors (WFs) in the model predictive control of power …
A Review on Weighting Factor Design of Finite Control Set Model Predictive Control Strategies for AC Electric Drives
Model predictive control has been widely applied to AC electric drives over the last decade.
Despite the proposed solutions, researchers are still seeking to find more effective solutions …
Despite the proposed solutions, researchers are still seeking to find more effective solutions …
A review on model predictive control strategies for AC motor drives
C Li, Q Meng, T Shi - IET Electric Power Applications, 2024 - Wiley Online Library
In the past decade, model predictive control (MPC) has been widely used in AC motor
drives. Although a series of improved MPC strategies have been proposed, researchers are …
drives. Although a series of improved MPC strategies have been proposed, researchers are …
On the Design and Analysis of a Weighting Factor Free-Based Predictive Flux Control Strategy for Three-Level NPC Inverter Fed IM Drives
W Zouari, B El Bedsi… - IEEE Journal of Emerging …, 2023 - ieeexplore.ieee.org
The model predictive torque control (MPTC) schemes of three-level neutral point clamped
(3L-NPC) inverters have multiobjective cost functions, including three weighting factors …
(3L-NPC) inverters have multiobjective cost functions, including three weighting factors …
Model predictive torque control of an induction motor enhanced with an inter-turn short circuit fault detection feature
İ Şahin - 2021 - open.metu.edu.tr
Model predictive control (MPC) is a popular research topic in modern power electronics and
it has been applied to a large variety of power converters and electric drives. The reason …
it has been applied to a large variety of power converters and electric drives. The reason …
A study of weighting factor design in model predictive control applications
Weighting factor selection is considered to be a crucial aspect in the design of a predictive
controller. In this paper a study of the design of weighting factors for different cost functions is …
controller. In this paper a study of the design of weighting factors for different cost functions is …
Cascaded predictive control for a three-phase VSI with different cost functions
Predictive control for power converters has been gaining interest as well as popularity in
recent years. This paper presents a cascade predictive control for a voltage source inverter …
recent years. This paper presents a cascade predictive control for a voltage source inverter …
Optimisation of Model Predictive Torque Control Strategy with Standard and Multi-Objective Genetic Algorithms
E Zerdali, A Gurel - Power Electronics and Drives, 2023 - sciendo.com
In this paper, the flux error-related weighting factor (WF) of the predictive torque control
(PTC) strategy for induction motor (IM) control is optimised by a standard genetic algorithm …
(PTC) strategy for induction motor (IM) control is optimised by a standard genetic algorithm …
Predictive control of induction motor drive
I Kozakevych, K Budnikov - E3S Web of Conferences, 2021 - e3s-conferences.org
The work is devoted to the study of the possibilities of using the predictive torque control
system instead of the currently widely used direct torque control system. Aspects of using the …
system instead of the currently widely used direct torque control system. Aspects of using the …
Extended Prediction Horizon Multi-objective FSMPC without Weighting Factors
Extended prediction horizon FS-MPC shows its merits of a low current harmonic distortion
per switching frequency. However, the weighting factors are hard to be optimized in an …
per switching frequency. However, the weighting factors are hard to be optimized in an …