Results 1 to 10 of about 165 (128)

An improved compact-form antisaturation model-free adaptive control algorithm for a class of nonlinear systems with time delays [PDF]

open access: yesScience Progress, 2023
To solve the time-delay problem and actuator saturation problem of nonlinear plants in industrial processes, an improved compact-form antisaturation model-free adaptive control (ICF-AS-MFAC) method is proposed in this work.
Lipu Wu   +4 more
doaj   +2 more sources

Under-Actuated Motion Control of Haidou-1 ARV Using Data-Driven, Model-Free Adaptive Sliding Mode Control Method [PDF]

open access: yesSensors
We propose a data-driven, model-free adaptive sliding mode control (MFASMC) approach to address the Haidou-1 ARV under-actuated motion control problem with uncertainties, including external disturbances and parameter perturbations.
Jixu Li   +5 more
doaj   +2 more sources

Optimizing wind turbine blade pitch control via input output differential model free adaptive control [PDF]

open access: yesScientific Reports
In the context of wind energy systems, maintaining optimal power output in wind turbines when wind speeds exceed rated values necessitates precise regulation of blade pitch through the pitch control system.
Ziang Zhou   +5 more
doaj   +2 more sources

PROCESS TOMOGRAPHY FOR MODEL FREE ADAPTIVE CONTROL (MFAC) VIA FLOW REGIME IDENTIFICATION IN MULTIPHASE FLOWS

open access: yesIFAC-PapersOnLine, 2020
Abstract Multiphase flows are frequently found with oil/gas/water/sand in the oil & gas industries, in processes handling dry particulates such as fluidized bed and particulate flow and slurries and sedimentation, to quote a few industrial applications.
Ru Yan, Håkon Viumdal, Saba Mylvaganam
openaire   +3 more sources

Model-Free Adaptive Positioning Control of the Bidirectional Stick–Slip Piezoelectric Actuator with Coupled Asymmetric Flexure-Hinge Mechanisms [PDF]

open access: yesSensors, 2023
A model-free adaptive positioning control strategy for piezoelectric stick–slip actuators (PSSAs) with uncertain disturbance is proposed. The designed controller consists of a data-driven self-learning feedforward controller and a model-free adaptive ...
Zhenguo Zhang   +4 more
doaj   +2 more sources

Model-free adaptive control for unmanned surface vessels: a literature review

open access: yesSystems Science & Control Engineering
Model-Free Adaptive Control (MFAC) is a control strategy that eliminates the need for prior knowledge of the system model by leveraging online data to learn the system dynamics and design controllers.
Yujuan Wang   +3 more
doaj   +3 more sources

Research on Model-Free Adaptive Control of Electro-Hydraulic Servo System of Continuous Rotary Motor

open access: yesIEEE Access, 2022
The model-free adaptive controller (MFAC) for continuous rotary electro-hydraulic servo motor was proposed to deal with uncertainties such as friction, leakage and noise.
Xiaojing Wang, Yang Zhang, Chunhui Li
doaj   +1 more source

Research on Trajectory Tracking Control of Underwater Vehicle Manipulator System Based on Model-Free Adaptive Control Method

open access: yesJournal of Marine Science and Engineering, 2022
In order to improve the trajectory tracking accuracy of an Underwater Vehicle Manipulator System (UVMS) under uncertain disturbance conditions of ocean current, a Model-free Adaptive Control (MFAC) method was used.
Gang Xue   +4 more
doaj   +1 more source

Event-triggered model-free adaptive control for nonlinear systems using intuitionistic fuzzy neural network: simulation and experimental validation

open access: yesComplex & Intelligent Systems, 2023
This article presents model-free adaptive control based on an intuitionistic fuzzy neural network for nonlinear systems with event-triggered output. Essentially, model-free adaptive control (MFAC) is constructed by establishing an online approximate ...
Sameh Abd-Elhaleem   +3 more
doaj   +1 more source

Model-Free Adaptive Control for Parafoil Systems Based on the Iterative Feedback Tuning Method

open access: yesIEEE Access, 2021
Parafoil systems are strongly nonlinear due to the flexibility of the canopy and suspension lines, and this characteristic cannot be simulated accurately by existing dynamic models.
Linggong Zhao, Weiliang He, Feikai Lv
doaj   +1 more source

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