Abstract This comprehensive review investigates the growing adoption of electric vehicles (EVs) as a practical solution for environmental concerns associated with fossil fuel usage in mobility. The increasing demand EVs underscores critical importance establishing efficient, fast-charging infrastructure, especially from standpoint electrical power grid. systematically examines planning strategies and considerations deploying vehicle fast charging stations. It emphasizes their unique dual...

Energy harvesting (EH) technologies could lead to self-sustaining wireless sensor networks (WSNs) which are set be a key technology in Industry 4.0. There numerous methods for small-scale EH but these differ greatly their environmental applicability, energy conversion characteristics, and physical form makes choosing suitable method particular WSN application challenging due the specific application-dependency. Furthermore, choice of is intrinsically linked non-trivial decisions on storage...

The rapid increase in integration of Electric Vehicles (EVs) and Renewable Energy Sources (RESs) at the consumption level poses many challenges for network operators. Recently, Peer-to-Peer (P2P) energy trading has been considered as an effective approach managing RESs, EVs, providing market solutions. This paper investigates effect EVs shiftable loads on P2P with enhanced Vehicle to Home (V2H) mode, proposes optimized Management Systems aimed reduce net exchange grid. Mixed-integer linear...

In this paper, the Bees algorithm was used to train multi-layer perceptron neural networks model inverse kinematics of an articulated robot manipulator arm. The Algorithm is a recently developed parameter optimisation that inspired by foraging behaviour honey bees. performs kind exploitative neighbourhood search combined with random explorative search. Three were trained reproduce set input/output numerical examples main three joints robotic manipulator. results prove remarkable robustness...

This paper explores some design parameters of an interior permanent magnet synchronous motor that contribute to enhancing performance. Various geometry such as dimension, machine diameter, stator teeth height, and number poles are analyzed compare overall torque, power, torque ripples in order select the best their ranges. Pyleecan, open-source software, is used optimize for electric vehicle applications. Following optimization with Non-dominated Sorting Genetic Algorithm (NSGA-II), two...

Abstract Gestures are a common way people communicate. Gesture-based teleoperation control systems tend to be simple operate and suitable for most people’s daily use. This paper employed LeapMotion sensor develop mobile robot system based on gesture recognition, which mainly established connections through client/server structure. The principles of recognition in the were studied relevant self-investigated algorithms—GestureMoRo, association between gestures robots designed. Moreover, order...

In this paper, the application of Augmented Reality (AR) for control and adjustment robots has been developed, with aim making interaction easier more accurate from a remote location. A LeapMotion sensor based controller investigated to track movement operator hands. The data allows gestures position hand palm’s central point be detected tracked. Kinect V2 camera is able measure corresponding motion velocities in x, y, z directions after our post-processing algorithm fulfilled. Unreal Engine...

Abstract Microgrippers are commonly used for micromanipulation of micro-objects from 1 to 100 µm and attain features reliable accuracy, low cost, wide jaw aperture variable applied force. This paper aim is review the design different microgrippers which can manipulate assemble µ-wire PCB connectors. A was conducted on microgrippers’ technologies, comparing fundamental components structure actuators’ types, determined most suitable required task. Various explored examine suitability execution...

Magnetic control systems of micro-robots have recently blossomed as one the most thrilling areas in field medical treatment. For sake learning how to apply relevant technologies services, we systematically review pioneering works published past and divide magnetic into three categories: stationary electromagnet systems, permanent magnet mobile systems. Based on this, ulteriorly analyze illustrate their respective strengths weaknesses. Furthermore, aiming at surmounting instability system,...

The high penetration of Distributed Energy Resources (DERs) into the demand side has led to an increase in number consumers becoming prosumers. Recently, Peer-to-Peer (P2P) energy trading gained increased popularity as it is considered effective approach for managing DERs and offering local market solutions. This paper presents a P2P Management System (EMS) that aims reduce absolute net exchange with utility by exploiting two days-ahead forecast allowing surplus among Mixed-Integer Linear...

This paper presents a predictive Energy Management System (EMS), aimed to improve the performance of domestic PV-battery system and maximize self-consumption by minimizing energy exchange with utility grid. The proposed algorithm facilitates approach, which reduces electricity bills, transmission losses, required central generation/storage systems. EMS uses combination Fuzzy Logic (FL) rule based-algorithm optimally control while considering day-ahead forecast including error battery State...

This paper proves the capability of bees algorithm to solve complex parameter optimization problems for robot manipulator control. Two applications are presented. The first case considers modelling inverse kinematics an articulated arm using neural networks. weights connections between nodes need be set so as minimize difference network model and desired behaviour. In proposed example, is used train three multilayer perceptrons learn joints a three-link manipulator. second design...

With requirements to improve life quality, smart homes, and healthcare have gradually become a future lifestyle. In particular, service robots with human behavioral sensing for private or personal use in the home attracted lot of research attention thanks their advantages relieving high labor costs fatigue assistance. this paper, novel force-sensing- robotic learning algorithm-based teaching interface robot massaging has been proposed. For purposes, operator physically holds end-effector...

In this paper, a neural network (NN) based adaptive controller has been successfully developed for the teleoperation of DLR-HIT II robot hand using Leap Motion sensor. To achieve this, coordinate positions human fingers are captured by Moreover, inverse kinematics is used to transform Cartesian position data fingertips into corresponding joint angles all five fingers, which then directly sent teleoperate via User Datagram Protocol (UDP). addition, NN-based control system programmed MATLAB...

Two interconnected AC microgrids are proposed based on three renewable energy sources (RESs): wind, solar, and biogas. The wind turbine drives a permanent magnet synchronous generator (PMSG). A solar photovoltaic system (SPVS) with an appropriate inverter was incorporated. biogas genset (BG) consists of engine coupled generator. microgrids, M1 M2, were considered for study in this work. microgrid M2 is connected to diesel (DE) characterized by continuous power supply. distribution loss the...

This paper proposes an Energy Management System (EMS) for domestic PV-battery applications with the aim of reducing absolute net energy exchange utility grid by utilizing two days-ahead forecasts in optimization process. A Mixed-Integer Linear Programming (MILP) exploits demand and PV generation to schedule day-ahead battery both generator. The proposed scheme is tested using real data Active Office Building (AOB) located Swansea University, UK. Performance comparisons state-of-the-art...

The Bees Algorithm is a recently developed optimization technique that mimics the foraging behavior of honey bees in nature. This study investigates use for selection optimal operating speed parameters wind power units. Three need to be optimized, namely, rated, cut-in, and cut-off (furling) turbine. aim process maximize yearly yield turbine usage time. choice best depends from frequency distribution at site installation. Eleven locations on coastal areas Egypt were chosen as case studies....

Microgrippers are commonly used for micromanipulation of micro-objects with dimensions from 1 to 100 µm and attain features reliable accuracy, low cost, wide jaw aperture variable applied force. This paper studies the design process, simulation, testing a microgripper which can manipulate assemble platinum resistance temperature probe, made 25 diameter wire, 20 mm tinned copper printed circuit board type connector. Various structures actuator types were researched reviewed determine most...

Combining classical technologies with modern intelligent algorithms, this paper introduces a new approach for the optimisation and modelling of EAF-based steel-making process based on multi-objective using evolutionary computing machine learning. Using large amount real-world historical data containing 6423 consecutive EAF heats collected from melt shop in an established steel plant work not only creates learning models both ladle furnaces but also simultaneously minimises total scrap cost...

This paper presents a new neuro-fuzzy controller for robot manipulators. First, an inductive learning technique is applied to generate the required inverse modeling rules from input/output data recorded in off-line structure phase. Second, fully differentiable fuzzy neural network developed construct dynamics part of online parameter Finally, fuzzy-PID-like incremental was employed as Feedback servo controller. The proposed control system tested using dynamic model six-axis industrial robot....

This paper present a novel method for matching the wind farm with turbine generating units from view point of site data and generator parameters. The focuses on selecting parameters' in order to optimize generated energy while maximizing utilization power available at location. study presents an improvement performance by identifying best parameters that should be erected selected maximize generation. new depends introducing ranking parameter dasiaturbine selection index (TSI)psila helps...

A parallelogram flexible hinge microgripper design made from aluminium alloy 7075-T6 material has been designed and manufactured with purpose of being able to manipulate a 25 μm diameter platinum wire. The structure is unique in that it actuated using shape memory alloy. actuator circuit so during operation one arm remains ridged the gripping process ensure consistent reference point whilst other gripper flexes. focus study on alloys capability terms providing correct jaw displacement time...