Results 21 to 30 of about 584 (163)

Nonlinear model predictive control for hexacopter with failed rotors based on quaternions —simulations and hardware experiments—

open access: yesMechanical Engineering Journal, 2021
This work applies real-time nonlinear model predictive control (NMPC) to fault-tolerant control problems of an unmanned aerial vehicle (UAV) with failed rotors.
Yusuke AOKI   +5 more
doaj   +1 more source

Building A Control Unit of A Series-Parallel Hybrid Electric Vehicle by Using A Nonlinear Model Predictive Control (NMPC) Strategy

open access: yesIraqi Journal for Electrical and Electronic Engineering, 2022
Hybrid electric vehicles have received considerable attention because of their ability to improve fuel consumption compared to conventional vehicles. In this paper, a series-parallel hybrid electric vehicle is used because they combine the advantages of the other two configurations.
Maher Al-Flehawee, Auday Al-Mayyahi
openaire   +1 more source

Hybrid Layer of Improved Interfered Fluid Dynamic System and Nonlinear Model Predictive Control for Navigation and Control of Autonomous Underwater Vehicles

open access: yesJournal of Marine Science and Engineering, 2023
This study introduces a hybrid control structure called Improved Interfered Fluid Dynamic System Nonlinear Model Predictive Control (IIFDS-NMPC) for the path planning and trajectory tracking of autonomous underwater vehicles (AUVs).
Jiqing Du, Dan Zhou, Sachiyo Arai
doaj   +1 more source

MSD-Based NMPC Aircraft Anti-Skid Brake Control Method Considering Runway Variation

open access: yesIEEE Access, 2021
In this paper, a nonlinear model predictive control (NMPC) method based on mixed slip-deceleration (MSD) with runway identification is proposed to prevent the aircraft wheels from locking up and improve the braking performance under time-varied runway ...
Mengqiao Chen   +3 more
doaj   +1 more source

Model Reduction and Chattering Mitigation in Multi-Model Predictive Control for Quadrotor UAVs

open access: yesIEEE Access
This study introduces a multi-model predictive control (MMPC) framework for quadrotor attitude regulation, combining the high-precision capabilities of nonlinear model predictive control (NMPC) with the computing efficiency of linear model predictive ...
Ghulam E. Mustafa Abro   +4 more
doaj   +1 more source

R$^2$NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control

open access: yesCoRR, 2023
In this paper, we present a novel Reduced Robustified NMPC (R$^2$NMPC) algorithm that has the same complexity as an equivalent nominal NMPC while enhancing it with robustified constraints based on the dynamics of ellipsoidal uncertainty sets. This promises both a closed-loop- and constraint satisfaction performance equivalent to common Robustified NMPC
Baha Zarrouki   +2 more
openaire   +2 more sources

Advanced Construction of the Dynamic Matrix in Numerically Efficient Fuzzy MPC Algorithms

open access: yesAlgorithms, 2021
A method for the advanced construction of the dynamic matrix for Model Predictive Control (MPC) algorithms with linearization is proposed in the paper. It extends numerically efficient fuzzy algorithms utilizing skillful linearization.
Piotr M. Marusak
doaj   +1 more source

Energy Management in an Islanded Multi-Node Microgrid Based on Nonlinear Model Predictive Control (NMPC)

open access: yesChemical Engineering Transactions, 2019
In this paper, an advanced control framework for an islanded multi-node microgrid is presented. Each node of the microgrid comprises various Renewable Energy Sources (RES), miscellaneous types of energy storage (batteries and/or hydrogen) and the capability of energy exchange through a DC bus interconnection.
Trigkas Dimitrios   +4 more
openaire   +2 more sources

Optimized Trajectory Tracking for ROVs Using DNN + ENMPC Strategy

open access: yesJournal of Marine Science and Engineering
This study introduces an innovative double closed-loop 3D trajectory tracking approach, integrating deep neural networks (DNN) with event-triggered nonlinear model predictive control (ENMPC), specifically designed for remotely operated vehicles (ROVs ...
Guanghao Yang   +5 more
doaj   +1 more source

Methodology for NMPC Tuning with Takagi Sugeno Fuzzy Inference System and Multidimensional Fuzzy Sets for Applications in Non-linear Chemical Processes

open access: yesRevista Iberoamericana de Automática e Informática Industrial RIAI, 2019
This paper presents a methodology for the tuning of the parameters of a nonlinear model based predictive controller (NMPC) based on an optimization technique, applied in the control of nonlinear chemical processes, with the purpose of facilitating the ...
J. A. Palacio Morales   +3 more
doaj   +1 more source

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