Results 81 to 90 of about 8,467 (198)

Comparative Study of MPPT Optimization in Dual‐Stage PV Systems: PSO‐Integrated P&O and IC Techniques

open access: yesJournal of Control Science and Engineering, Volume 2025, Issue 1, 2025.
The maximum power point tracking (MPPT) is one of the most vital equipment of photovoltaic (PV) systems for maximum power extraction from PV systems under dynamic conditions. In this paper, we present a comparative study of hybrid MPPT algorithm that combines particle swarm optimization (PSO) along with classical perturb and observe (P&O) and ...
Jeewan Phuyal   +2 more
wiley   +1 more source

Mitigating ground effect on mini quadcopters with model reference adaptive control [PDF]

open access: yes, 2019
Mitigating ground effect becomes a big challenge for autonomous aerial vehicles when they are flying in close proximity to the ground. This paper aims to develop a precise model of ground effect on mini quadcopters, provide an advanced control algorithm ...
Chan, SN, Kong, Z, Lee, S, Wei, P
core  

Robust Adaptive Speed Control for the DC Motor Based on a Modified MRAC

open access: yesCommunications
The aim of this research was to develop a high performance adaptive control strategy based on the model reference adaptive control (MRAC) approach, using the MIT (Massachusetts Institute of Technology) law rule as an adjustment mechanism to control the ...
Mokhtar Nesri   +4 more
doaj   +1 more source

TEŽINSKO–DUŽINSKI ODNOS 57 RIBLJIH VRSTA U RIJEKAMA JUGOISTOČNOG DIJELA OBALE BJELOKOSTI [PDF]

open access: yes, 2007
Weight–length relationships (WLR) of 57 fish species belonging to 22 families from the coastal rivers of the south–eastern of Ivory Coast were studied. Samples were collected with two fleets of monofilament gill nets.
A. Ouattara   +3 more
core   +2 more sources

Robust Tracking Control for Quadrotor UAV With External Disturbances and Uncertainties Using Neural Network Based MRAC

open access: yesIEEE Access
In this paper, an intelligent Model Reference Adaptive Control (MRAC) based on a neural network is proposed for robust tracking control of quadrotor UAV under external disturbances and parameter variations.
Muluken Menebo Madebo   +3 more
doaj   +1 more source

A novel MPPT Algorithm Based on MRAC-FUZZY Controller for Solar Photovoltaic Systems

open access: yesPower Electronics and Drives
A novel and extremely effective fuzzy Model Reference Adaptive Control (MRAC) based on Maximum Power Point Tracking (MPPT) with a boost converter is presented in this study.
Mahbouba Brahmi   +4 more
doaj   +1 more source

Lyapunov-Based Two-Degree-of-Freedom Model Reference Adaptive Control of Axial-Piston Pump

open access: yesMathematics
The article is devoted to the synthesis, implementation, simulation and experimental study of a real-time Lyapunov-based two-degree-of-freedom model reference adaptive controller (MRAC) for an axial-piston pump.
Tsonyo Slavov   +2 more
doaj   +1 more source

Experimental investigation of applying multi-stage (PID-MRAC) controller for trajectory tracking of four mecanum wheeled mobile robot [PDF]

open access: yesEngineering and Technology Journal
This paper presents a practical investigation into the design and implementation of a multi-stage controller, which integrates a Model Reference Adaptive Controller (MRAC) with a Proportional-Integral-Derivative (PID) controller for trajectory tracking ...
Asaad Abdullsahib, Hassan Alwan
doaj   +1 more source

Robust Adaptive Control of Dual Active Bridge DC-DC Converter with Constant Power Loading

open access: yesPower Electronics and Drives
The standard model reference adaptive control (MRAC) application to the Dual Active Bridge (DAB) converter has proven to achieve excellent dynamic and tracking responses under parametric uncertainty.
Effah Emmanuel K.   +3 more
doaj   +1 more source

Aggregation in area yield insurance:The linear additive model [PDF]

open access: yes
Earlier analyses of area yield crop insurance schemes used a linear additive model (LAM) to express the relationship between individual and area yield.
Bharat Ramaswami, Terry L. Roe
core  

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