Results 11 to 20 of about 947,676 (231)

Model-Free Predictive Control of Motor Drives: A Review

CES Transactions on Electrical Machines and Systems
Model predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory dynamic performance.
Chenhui Zhou, Yongchang Zhang, Haitao Yang   +2 more
doaj   +2 more sources

Model-Free Adaptive Model Predictive Control for Trajectory Tracking of Autonomous Mining Trucks [PDF]

Sensors
The trajectory-tracking capability of autonomous mining trucks is critical for accomplishing transportation tasks efficiently. However, due to the diverse road surfaces and rugged terrains in open-pit mines, the existing vehicle dynamics models struggle ...
Feixiang Xu, Qiuyang Zhang, Junkang Feng, Chen Zhou   +3 more
doaj   +2 more sources

Experimental validation of model-free predictive control based on the active vector execution time for grid-connected system. [PDF]

Sci Rep
Lammouchi Z, Labiod C, Srairi K, Benbouzid M, Khechekhouche A, Albalawi F, Ghoneim SSM, Ali E, Sharaf ABA.   +8 more
europepmc   +3 more sources

Robust Model‐Free Predictive Current and Speed Control of PMSM Drive Based on Nonlinear Disturbance Observer [PDF]

IET Power Electronics
Model predictive control has recently attracted the attention of researchers in control of permanent magnet synchronous motor drives due to advantages such as simple concepts and fast dynamics.
Mohammad Bagher Sepahkar, Abolfazl Halvaei Niasar   +1 more
doaj   +2 more sources

A novel Model-Free predictive current control for PMSM with Stagnation-Free current difference update scheme

International Journal of Electrical Power & Energy Systems
Model predictive current control (MPCC) for permanent magnet synchronous motors (PMSMs) relies heavily on the accuracy of the system model and parameters.
Ge Liang, Aowei Zheng, Sheng Huang, Wu Liao, Shoudao Huang   +4 more
doaj   +2 more sources

An Improved Model-Free Current Predictive Control Method for SPMSM Drives

IEEE Access, 2021
Traditional model predictive current control (MPCC) method depends on motor model for predictive control, when the motor parameters change with the working conditions, the predictive performance of MPCC will be deteriorated.
Xuerong Li, Yang Wang, Xingzhong Guo, Xing Cui, Shuo Zhang, Yongshen Li   +5 more
doaj   +1 more source

Toward Data-Driven Optimal Control: A Systematic Review of the Landscape

IEEE Access, 2022
This literature review extends and contributes to research on the development of data-driven optimal control. Previous reviews have documented the development of model-based and data-driven control in isolation and have not critically reviewed ...
Krupa Prag, Matthew Woolway, Turgay Celik   +2 more
doaj   +1 more source

Three‐vector model‐free predictive control for permanent magnet synchronous motor

IET Power Electronics, 2023
A three‐vector model‐free predictive control (TV‐MFPC) strategy is proposed to address the problem of model predictive control systems performance degradation caused by parameter mismatch and inverter dead‐zone.
Dingdou Wen, Yanqin Zhang, Yang Zhang
doaj   +1 more source

Model-Free Neural Network-Based Predictive Control for Robust Operation of Power Converters

Energies, 2021
An accurate definition of a system model significantly affects the performance of model-based control strategies, for example, model predictive control (MPC).
Sanaz Sabzevari, Rasool Heydari, Maryam Mohiti, Mehdi Savaghebi, Jose Rodriguez   +4 more
doaj   +1 more source

Robust three‐voltage‐vector‐based model‐free predictive current control for permanent magnet synchronous motor with ultra‐local model

IET Power Electronics, 2023
A large current ripple may arise in the finite control set model‐free predictive current control (FCS‐MFPCC) strategy because only one voltage vector can be applied during the whole control period.
Zheng Sun, Yongting Deng, Jianli Wang, Hongwen Li   +3 more
doaj   +1 more source