Results 51 to 60 of about 30,626 (230)

Motion planning and control of an installation robot for attitude adjustment of arc parts in underground shield tunneling

open access: yesDeep Underground Science and Engineering, EarlyView.
Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao   +5 more
wiley   +1 more source

Semi-active suspension control for formula SAE car using magneto-rheological fluid [PDF]

open access: yes, 2017
The Magneto-rheological (MR) fluid damper is prevalent in the field of semi-active suspension whose viscosity changes by the change of magnetic field passing through the damping fluid. In this study, a semi-active suspension quarter car model is employed
As'arry, Azizan   +4 more
core   +2 more sources

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

Fractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO [PDF]

open access: yes, 2018
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.This paper investigates the operation of a hybrid power system through a novel fuzzy control scheme.
Das, S, Pan, I
core   +1 more source

Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid

open access: yesEnergy Science &Engineering, EarlyView.
Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li   +5 more
wiley   +1 more source

Simulation study of genetic fuzzy PID cascade control system for soy flour spray drying tower

open access: yesShipin yu jixie, 2022
Objective: This paper proposed a genetic fuzzy PID cascade control system. Methods: Taking the outlet temperature as the main control quantity and the inlet temperature as the secondary controlled quantity, a cascade control system was made.
TIAN Si-qing   +4 more
doaj   +1 more source

Hybrid fuzzy-proportionl integral derivative controller (F-PID-C) for control of speed brushless direct current motor (BLDCM) [PDF]

open access: yes, 2017
Hybrid Fuzzy proportional-integral-derivative (PID) controllers (F-PID-C) is designed and analyzed for controlling speed of brushless DC (BLDC) motor. A simulation investigation of the controller for controlling the speed of BLDC motors is performed to ...
Elkarghali, Farag A. M.
core  

Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks

open access: yesEnergy Science &Engineering, EarlyView.
This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk   +3 more
wiley   +1 more source

DESIGN FUZZY PID CONTROLLER FOR NONLINEAR SYSTEMS

open access: yesJournal of Engineering and Sustainable Development, 2017
The Proportional, Integral, and Derivative (PID) controller is one of the most common controllers that is used by the industry. In nonlinear systems, the PID controller performance is weak unlike its performance with the linear systems which is very ...
Sami Abdulaziz Ali
doaj  

AUTO-TUNING OF FUZZY PID CONTROLLERS [PDF]

open access: yesIFAC Proceedings Volumes, 2002
Abstract In this work the auto-tuning procedure proposed by Astrom and Hagglund is extended and developed for tuning the scaling factors of a modified hybrid PID type fuzzy logic controller (MHPID-FLC). This new procedure is based on two steps.
P.J. Escamilla-Ambrosio, N. Mort
openaire   +1 more source

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