- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Prediction of surface roughness and material removal rate in laser assisted turning of aluminium oxide using fuzzy logic
摘要： Processing of ceramics with good surface integrity and high material removal rate is a challenging task in the manufacturing industry. Laser assisted machining (LAM) is one of the benchmark technique currently used in industry to process difficult to machine materials. In LAM, laser is used as source to heat the work piece and simultaneously remove the softened material by cutting tool without changing the material microstructure. Since many process parameters are involved in LAM, experimental investigation of processing of ceramics is expensive. So the main objective of this present work is to develop an Artificial Intelligence model to understand the process mechanics and for the prediction of surface roughness and material removal rate (MRR) during laser assisted turning of Aluminium oxide using fuzzy logic. Input parameters are assumed as triangular and Gaussian function and output parameters are assumed as trapezoidal function. It is inferred that increase in cutting speed and pulsed frequency of laser, there is an improvement in surface finish, whereas increase of feed rate results in deterioration of surface integrity. The material removal rate is directly proportional to feed, speed, depth of cut and pulsed frequency of laser. There is a better agreement between experimental and fuzzy model values. The proposed model predicts the surface roughness and MRR with prediction error of 15.76 and 7.69 % respectively.
关键词： material removal rate,Laser assisted machining,fuzzy logic,surface roughness,Ceramics
更新于2025-09-12 10:27:22
-
An Efficient Fuzzy Logic Control Algorithm for Photovoltaic Maximum Power Point Tracking under Partial Shading Condition
摘要： Under partially shaded conditions, solar photovoltaic (PV) array power-voltage (P-V) characteristic curve will show multiple peaks, and maximum power point tracking (MPPT) by using fuzzy control algorithm is easy to fall into the local optimal solution. In view of the above problems, an improved maximum power point tracking algorithm is proposed based on the fuzzy control method and the differential flatness control theory. Firstly, the output voltage of the PV array increases linearly by using the differential flatness control, and the maximum power point voltage is found. Then the fuzzy control algorithm is used to stabilize the output voltage of the photovoltaic array. The feasibility of the algorithm is verified by MATLAB simulation and hardware experiment.
关键词： maximum power point tracking,differential flatness control,fuzzy logic control,photovoltaic
更新于2025-09-12 10:27:22
-
[IEEE 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) - Kottayam, India (2018.12.21-2018.12.22)] 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET) - Performance Analysis of Solar Photovoltaic System with Fuzzy Based Variable Step Size MPPT Algorithm Using Matlab /Simulink
摘要： In the recent decades, Photovoltaic (PV) power generation has become one of the primary power source due to the advantages such as less maintenance and environmental benefits. Moreover, the generation source is ultimately free and abundant. However, the major barriers related to PV power generation are low power conversion efficiency, high cost of PV modules and nonlinearity in output power. Because of low power conversion efficiency, PV systems should work always at its Maximum Power Point (MPP). A power conditioning unit with Maximum Power Point Tracking (MPPT) technique is employed in the PV systems to harvest maximum power. The main function of MPPT is to detect the MPP for the given conditions and operate the system at that point. In this paper Fuzzy Logic Controller (FLC) based variable step size MPPT for a standalone solar PV system is presented. Solar PV system with Fuzzy based MPPT controller in Matlab /Simulink. The performance of proposed variable step size fuzzy MPPT algorithm is studied for different input conditions and analyzed in terms of performance parameters such as tracking speed, steady state oscillations, response under variations in irradiance and temparature, average output power and output power ripple. The results are compared with Variable Step Size Incremental Conductance (VSS InC) MPPT algorithm and conventional InC based PV system.
关键词： Solar Photovoltaic (SPV),Fuzzy Logic Control (FLC),MATLAB/Simulink,Simulation,Variable Step Size Incremental Conductance (VSS InC),Maximum Power Point Tracking (MPPT)
更新于2025-09-11 14:15:04
-
[IEEE 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT) - Coimbatore, India (2019.2.20-2019.2.22)] 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT) - Improved Fault Detection and Location Scheme for Photovoltaic Systems
摘要： Photovoltaic is encountering a quick innovation development since a decade ago. Yet, strange conditions, for example, shortcomings, low irradiance and so forth it influence the yield of PV framework. To enhance the execution of and productivity of PV framework, it is important to create enhanced blame location procedures. This paper for the most part centres around recognition conspire for LL and LG blames in the PV cluster. Such blames stay undetected under irradiance conditions, especially, when a most extreme power point following calculation is in administration. In the event that these shortcomings are undetected, there is extensively loss of yield of PV framework, in the event that these issues are not recognized for longer time, it might harm the board and conceivably cause fire dangers. The exhibited blame identification conspire utilizes Multi-Resolution Signal Decomposition (MSD) procedure and two machine learning calculations to be specific Fuzzy Logic and K-Nearest Neighbor (KNN) to group the blame and decide its area. Reenactment results confirm the exactness, unwavering quality and versatility of the exhibited plan.
关键词： K-Nearest Neighbour (KNN) algorithm,Fuzzy logic,MSD,Machine Learning algorithm,Fault detection
更新于2025-09-11 14:15:04
-
[IEEE 2019 IEEE Industry Applications Society Annual Meeting - Baltimore, MD, USA (2019.9.29-2019.10.3)] 2019 IEEE Industry Applications Society Annual Meeting - Control of Single Phase Solar Photovoltaic Supply System
摘要： This work deals with the modified multilayer fifth order generalized integrator (MLFOGI) based grid tied single phase solar photovoltaic (PV) system employing fuzzy logic control (FLC) based maximum power point tracking (MPPT) algorithms. The MLFOGI is used to extract the fundamental component of grid voltage under polluted grid due to voltage sag, swell, harmonics, frequency variations and dc offsets. The FLC based MPPT is capable to extract optimum energy under change in weather conditions. It offers fast dynamic response under reduced PV voltage oscillation. The proposed system is developed on MATLAB 2018a and obtained results shows the feasibility of system control and Total Harmonics Distortions (THDs) of grid current are in acceptable limits as per IEEE-519 standard.
关键词： Multilayer Fifth Order Generalized Integrator (MLFOGI),Maximum Power Point Tracing (MPPT),Fuzzy Logic Control (FLC),Voltage Source Inverter (VSI),Solar Photovoltaic System (SPV)
更新于2025-09-11 14:15:04
-
[IEEE 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD) - Istanbul, Turkey (2019.3.21-2019.3.24)] 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD) - MPPT Control Strategies for Photovoltaic Applications: Algorithms and Comparative Analysis
摘要： In this paper, five Maximum Power Point Tracking algorithms for PV system are presented, simulated and discussed. Solar Photovoltaic energy has become a popular device of the renewable energies. The power-voltage (P-V) characteristic of PV cells is naturally nonlinear dependent of insolation and temperature degrees. Accordingly, the maximum power point change with the atmospheric conditions. In order to ameliorate the overall efficiency, a control technique for the duty cycle of the DC/DC power converter is required. The aim of this paper is to present a thorough assessment of various MPPT techniques. Five different methods are discussed which are: the Perturbation-Observation (P&O) method, the Incremental Conductance (INC) method, the Fuzzy Logic Control (FLC), the Neural Network control (NNC) and the Sliding mode control (SMC). These algorithms are modeled and simulated with a specific PV chain consisting of a 50W PV panel and a Boost converter in order to evaluate their performances.
关键词： Neural Network Control (NNC),Simulation,Maximum Power Point Tracking (MPPT),Incremental Conductance (INC),DC/DC converter,Fuzzy Logic Control (FLC),Sliding Mode Control (SMC),Perturbation-Observation (P&O),Modeling
更新于2025-09-11 14:15:04
-
Design and implementation of reconfigurable MPPT fuzzy controller for photovoltaic systems
摘要： Since, photovoltaic (PV) systems are currently very expensive, many scientific studies are being conducted to maximize the power such systems deliver. The best solution suggested so far consists of integrating the Maximum Power Point Tracking (MPPT) with the PV power systems. The present paper proposes to use the fuzzy logic technique in the actual implementation of the MPPT controller. The system includes a photovoltaic panel, a boost converter and an fuzzy logic controller. This system is designed, executed and tested under variable environmental constraints and using several technologies. A comparison between these different technologies is made. The findings of the experiments demonstrate an efficient operation of the FPGA-based PV system.
关键词： MPPT,Photovoltaic,Fuzzy logic,FPGA,Design
更新于2025-09-11 14:15:04
-
Optimal Hybrid Neuro-fuzzy Based Controller Using MOGA for Photovoltaic (PV) Battery Charging System
摘要： This paper proposes an optimal hybrid neuro-fuzzy/fuzzy controller based on maximum power point tracking (MPPT) technique and voltage regulation for photovoltaic lead-acid battery charging system through the constant current and constant voltage (CC-CV) charge, denoted by NFC-CC/FLC-CV. The parameter optimization of NFC and FLC, including rule selection, based on multi-objective genetic algorithm (MOGA) is applied to the NFC-CC design to improve the tracking accuracy while reducing complexity. By means of genetic optimization, the number of fuzzy rules can be greatly reduced by 50%. In addition, GA is applied to the FLC-CV design to increase voltage regulation (VR) accuracy. After satisfying the stability condition through the solutions determined by MOGA and GA, the performances of controllers under rapidly-changing weather are evaluated tradeoff by several creteria, including transient response, stabilized accuracy, charging time, and energy utilization and charging ef?ciency. As results, the proposed controller outperforms the other existing controllers with the fastest rise time without overshoot, the highest MPPT and VR accuracy with negligible oscillations, a 12-23% reduction in charging time, and an increase of 5-15% and 1-6% in energy utilization and charging ef?ciency. Furthermore, it provides superior results in terms of computational complexity by achieving the minimum number of multiplications and system parameters, and high reliability with the lowest Akaike information criterion (AIC).
关键词： MPPT,neuro-fuzzy,Fuzzy logic,MOGA,photovoltaic charging system
更新于2025-09-10 09:29:36
-
[IEEE 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO) - Kiev (2018.4.24-2018.4.26)] 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO) - Application of Hybrid Fuzzy Logic Controller to Keep a Standing Wave Angular Position in MEMS Rate Gyroscope
摘要： This paper considers application of fuzzy logic controller (FLC) to compensate for the Coriolis force in rate MEMS gyroscope. Comparative investigation of hybrid FLC-PI, FLC-PID and classical PI and PID controllers has been made to find advantages of any of those controllers under measurement of accumulated angle during shock and step response parameters. In this paper, from four controllers which can be used to control parameters of MEMS gyro, only one is under investigation that responsible for keeping a standing wave in the fix angular position providing accurate angle rate measurement. Hybrid controllers’ advantages in presence of noise have been shown.
关键词： shock response,step response,MEMS gyro,fuzzy logic controller
更新于2025-09-10 09:29:36
-
PACS-Based Multimedia Imaging Informatics (Basic Principles and Applications) || PACS-Based CAD
摘要： This chapter provides step‐by‐step guidelines to develop a CAD method for bone age assessment (BAA) of children from a hand and wrist radiograph. The data collection followed the Institutional Review Board data collection guidelines, including patient anonymity, CAD development, validation, evaluation, and HIPAA compliance. These guidelines are standard procedures for developing a CAD method from incubation, development, preliminary production, to clinical evaluation site deployment.
关键词： bone age assessment,CAD,digital hand atlas,PACS,fuzzy logic
更新于2025-09-10 09:29:36