Parameter identification (PI) of the wind turbine generator with doubly-fed induction generator (DFIG) based on fitting actual measurement data has become a significant way of modeling the wind turbine with DFIG in po...
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In order to improve the overall forward design capability of mine fuze, the digital design method of ship power system engineering is studied. The design process of mine fuze system based on Harmony MBSE is proposed, ...
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ISBN:
(数字)9798350366556
ISBN:
(纸本)9798350366563
In order to improve the overall forward design capability of mine fuze, the digital design method of ship power system engineering is studied. The design process of mine fuze system based on Harmony MBSE is proposed, and the model system supporting the operation of the process is proposed, and the requirement analysismodeling, function modeling, system architecture analysis and synthesis of mine fuze system design are completed. It embodies the advantages of model-based design method in early verification of requirements, rapid functional simulation and data traceability in the development process of mine fuze, so as to effectively improve the efficiency of R&D design.
This paper presents the development of identification based fuzzy supervisory control for application to pressure process. The system identification is carried out using an integral based method that reformulates the ...
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ISBN:
(纸本)9788993215243
This paper presents the development of identification based fuzzy supervisory control for application to pressure process. The system identification is carried out using an integral based method that reformulates the differentials with an integral, that provides robustness to noise. A theoretical analysis of the identification method is also provided. Pressure data was obtained through the use of a pressure guage which is connected to a workstation via a DAQ. The collected data was then identified using the developed identification algorithm. Appropriate PID gains are firstly selected by pole placement methodology, where they are later modified with fuzzy rules according to the desired responses. Results show that the designed fuzzy supervisory control outperformed the constant PID gains which was designed by pole placements.
In this paper, we study the mechanism design problem of combinatorial reverse auction for 4PL transportation service procurement (TSP) considering price and multiple non-price attributes. In order to achieve efficient...
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ISBN:
(纸本)9798350334722
In this paper, we study the mechanism design problem of combinatorial reverse auction for 4PL transportation service procurement (TSP) considering price and multiple non-price attributes. In order to achieve efficient winner determination and transportation request allocation, we develop a 0-1 programing model to minimize social cost, where social cost includes real transportation cost of 3PLs and the costs incurred by non-price attributes. A multi-attribute VCG (MA-VCG) reverse auction mechanism is proposed, which satisfies efficiency, incentive compatibility, individual rationality, and budget balance. Then, a numerical example is designed to demonstrate the effectiveness and applicability of the proposed mechanism. Finally, sensitivity analysis is implemented to illustrate the influences of attribute preference, cost coefficient and other parameters on auction results.
In the digital age, digital marketing affected people's lives on a professional and societal level. The financial sector, in particular, makes substantial use of information technology that has emerged in the digi...
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The state-of-the-art modulation strategy of MMC is closely related to the quality of its output voltage waveform and system loss, and is related to whether the entire MMC system can maintain efficient and stable opera...
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ISBN:
(数字)9798331509675
ISBN:
(纸本)9798331509682
The state-of-the-art modulation strategy of MMC is closely related to the quality of its output voltage waveform and system loss, and is related to whether the entire MMC system can maintain efficient and stable operation. In fact, all multi-level modulation technologies can be applied in MMC systems. To deal with the challenges, this study proposes a novel neural network-based MMC fault diagnosis (FD) and fault-tolerant efficient control (FTEC) algorithm. First, initial step for the modeling is to conduct the comprehensive analysis of the MMC architecture characteristics and prone faults. In particular, considering the schemes of open circuit (OC) and short circuit (SC) related faults, a model based on recurrent neural network (RNN) is established to extract and classify fault features, and the network structure of deep learning is improved. At the same time, an improved CNN model is applied to process the voltage signal of MMC sub-module. In improved part, efficient Softmax function is used to realize the probability distribution of multi-fault classification. The entire fault detection and analysis framework includes the following points: data collection, data pre-processing, network parameter initialization, fault feature training and classification decision. The experiment uses a self-built MMC simulation model to test the performance. At same time, in specific experiment, high voltage and low voltage are displayed independently to achieve a comprehensive analysis.
The proceedings contain 51 papers. The topics discussed include: banking fraud identification and prevention;a seismic study of liquid filed aqueduct considering soil-structure-fluid interaction;Costas loop for BPSK c...
ISBN:
(纸本)9798350337594
The proceedings contain 51 papers. The topics discussed include: banking fraud identification and prevention;a seismic study of liquid filed aqueduct considering soil-structure-fluid interaction;Costas loop for BPSK carrier phase synchronization implemented on an SDR hardware platform;control principles of stationary articulated robots used in cyber-physical factories;on the discrete concavity of packet reception ratio utility functions;the use of constructive simulation in the educational process of military engineers;limitations of the optical FBMC multi-beam transmission in optical fiber communications;extracting a mathematical model from oil drilling data using GMDH;energy consumption modeling and forecasting for commercial industrial manufacturing applications;and remote temperature and humidity measurement system with the use of IoT and WSN for intelligent homes and warehouses.
The proceedings contain 70 papers. The special focus in this conference is on Signals, machines, and Automation. The topics include: Annual Cost and Power Loss Minimization in a Radial Distribution Network by Capacito...
ISBN:
(纸本)9789819909681
The proceedings contain 70 papers. The special focus in this conference is on Signals, machines, and Automation. The topics include: Annual Cost and Power Loss Minimization in a Radial Distribution Network by Capacitor Allocation;Automated Signal Monitoring of LT8228 Buck–Boost Converter;Energy Management System of Standalone DC Microgrid;state Estimation in Active Power Distribution Systems Using Phasor Measurement Units;Online Estimation of Voltage Stability Margin Using PMU data;design and Implementation the Active Clamp Forward Converter for Electric Vehicles Application;A Comparative Study on Metaheuristic-Based Reconfiguration Strategies for Non-uniformly Shaded PV Array;modeling and analysis of Wind-Driven PMSG for Healthy and Unhealthy Conditions;Performance analysis of Fuzzy Logic-Based MPPT controller;Feasibility analysis of V2G Operation in India and Cost Minimization for EV Car Parks Using Firefly Algorithm;Optimum Power Tracking of DFIG-Based Wind Energy Conversion System;To Design an Optimal PV/Diesel/Battery Hybrid Energy System for Havelock Island in India;to Design an Optimal Hybrid Energy System for Agatti Island in India;access to Solar Energy for Livelihood Security in Odisha, India;grid-Connected Fuel Cell with Upgraded Voltage Profile;performance analysis and Comparison of a Solar Tree with Stand-Alone System;comparative analysis of Series–Parallel and Bridge Link Configurations Under Various Partial Shading Conditions;necessary and Sufficient Delay-Independent Stability Conditions for Commensurate Time Delay Systems;adaptive Neuro Fuzzy control of Triple Inverted Pendulum System;Adaptive control of DC Microgrid Using EMS and Meterological data;piezoelectric Sensors for the Conversion of Noise Pollution into Electricity;effect of Biohazard Waste on Human Health.
Future aircraft structures are usually dominated by composites, and one of the key defects and forms of damage to composite structures is the impact damage caused by low-energy (especially low-speed) foreign matter. T...
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As a new type of geographic data source, real 3D models can effectively complement the lack of facade and environmental information in traditional aerial remote sensing data captured from only downward perspective. Cu...
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ISBN:
(数字)9798350374407
ISBN:
(纸本)9798350374414
As a new type of geographic data source, real 3D models can effectively complement the lack of facade and environmental information in traditional aerial remote sensing data captured from only downward perspective. Currently, there is a comprehensive push for real 3D construction in China. However, there are limited industry standards related to the quality inspection of 3D model outputs, which poses a challenge to ensuring the production quality of real 3D models. This study delves into the principles and workflow of oblique aerial photography for real 3D modeling, particularly focusing on techniques such as joint adjustment of multi-view imagery and dense matching of multi-view images. It identifies and analyzes the critical elements of quality control throughout the entire production process of oblique aerial photography 3D modeling. These elements and their specific impacts on the final product quality are examined one by one, leading to a summary of quality inspection methods for the entire production process. By conducting a qualitative inspection and evaluation of highprecision, large-scale oblique aerial photography real 3D modeling production examples in Shanghai, this study highlights five key advantages and disadvantages of this technology and offers recommendations. These insights provide valuable references for the development of industry standards for the quality inspection of oblique aerial photography real 3D model outputs. Furthermore, they offer a more sophisticated technical means for natural resource investigations, contributing to more precise and efficient natural resource management.
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