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检索条件"主题词=Optimization algorithm"

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Introduction to Dynamics and Control of Flexible Structures

引用

丛书名： AIAA Education Series

1993年

作者： John L. Junkins Youdan Kim

ISBN: (数字)9781600862076

ISBN: (纸本)9781563470547

Effective control laws for mechanical systems are best designed by professionals who understand both the basic mechanics of the system under consideration and the control methodology being used to design the control law. This textbook blends two traditional disciplines: engineering mechanics and control engineering. Beginning with theory, the authors proceed through computation to laboratory experiment and present actual case studies to illustrate practical aerospace applications. Intended for first-year graduate students in engineering and applied science, this book will help structural dynamists and control engineers gain broad competence in mechanics and control. A solutions manual is available for professors.

关键词： Aeronautics algorithms and Data Structures Applied Mathematics Autonomous Systems Avionics Avionics Computers Beam (Structures) Classical Mechanics Computational Fluid Dynamics Computer Networks Computer Programming and Language Computer Storage Devices Computing System Computing and Informatics Computing, Information, and Communication Control Systems Control Theory Data Science Elementary Algebra Embedded Systems Energy Energy Forms Energy Forms, Production and Conversion Feedback Control Finite Element Method Flexible and Active Structures Fluid Dynamics General Physics Geometry Functions Guidance, Navigation, and Control Systems Inverse Problems Kalman Filter Mathematical Analysis Mathematical optimization Mechanical and Structural Vibrations Numerical Analysis Optimal Control Theory optimization algorithm Riccati Equations Robotics Robots Sensors Signal Processing Spacecraft Guidance and Control Structural Analysis Structural Design and Development Structural Engineering Structural Kinematics and Dynamics Structural Modeling and Simulation Structural System Structures, Design and Test Transducers Vibration Control

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Comparative Study of Transformer Topologies for Distributed IPT Systems

Comparative Study of Transformer Topologies for Distributed ...

引用

IEEE Transportation Electrification Conference and Expo

作者： Evangelos Lanaras Venugopal Prasanth Pavol Bauer Delft University of Technology

ISBN: (纸本)9781479922635

Distributed inductive power transfer (IPT) systems address the range restrictions of electric vehicles (EVs), charging the battery on-road through a loosely coupled transformer. Comparing different primary and secondary coil topologies is the main objective of this paper. Variations including single and multiphase layouts are analyzed by laboratory experimentation and finite element simulations. A system parameter optimization algorithm is introduced, utilizing sensitivity analysis techniques and equivalent circuit representation. Interphase power circulation in multiphase system primaries is addressed by a terminal correction setup, minimizing the interphase mutual inductance. The optimized designs are compared in terms of power and efficiency under alignment variations.

关键词： Inductive power transfer interphase mutual inductance optimization algorithm quadrature pick-up

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Modeling and Control of Irrational Fractional-Order System and Its Block Diagram Simulation

Modeling and Control of Irrational Fractional-Order System a...

引用

第34届中国控制与决策会议

作者： Lanfeng Chen Dingyu Xue Xinshu Cui College of Physics Science and Technology Shenyang Normal University School of Information Science and Engineering Northeastern University

ISBN: (纸本)9781665478977

The use of fractional-order to describe an actual system can better reveal its essential characteristics and its *** description and analysis of an irrational fractional-order system are more complicated than that of a rational fractional-order *** solve this difficulty,this paper studies its system identification and controller design for the characteristics of such ***,based on the frequency domain response data of these systems,combined with the optimization algorithm to realize the rationalization of them,the curves fitting are used to illustrate the correctness and effectiveness of the identification ***,based on the identified rational models,the optimum controllers are *** response comparison shows that the performance of fractional-order controllers is superior to that of traditional integer-order ***,through the block diagram implementation,the effectiveness and correctness of the fractional-order controller design are explained.

关键词： irrational fractional-order system frequency domain response data optimization algorithm optimum controllers block diagram

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An improved Stud Genetic algorithm using the Opposition-based Strategy

An improved Stud Genetic Algorithm using the Opposition-base...

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2016 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics(AMEII 2016)

作者： Hongwei Xu Wulanchabu Vocational College

ISBN: (纸本)9781510823808

This paper proposed an improved Stud Genetic algorithm using the Opposition-based strategy(SGAO) to improve the performance of the traditional SGA and accelerate its convergence *** SGAO,we use opposition-based approach to initialize the population and to perform mutation with the aim to improve the quality of *** experiments,we use some benchmark functions to the show the performance of the proposed approach and compare it with other algorithms such as genetic algorithm,different evolutionary,particle swarm optimization and stud genetic *** show that SGAO has faster convergence speed and higher solution precision.

关键词： Opposition-based Strategy Stud Genetic algorithm optimization algorithm

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A modified dynamic lattice searching(DLS) method for structure evolution of metal oxide clusters

A modified dynamic lattice searching(DLS) method for structu...

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2019中国化学会第十五届全国计算（机）化学学术会议

作者：魏迪 Longjiu Cheng 安徽大学 Department of Chemistry Anhui University

A modified dynamic lattice searching （DLS） method is developed to study on structure evolution of metal oxide clusters with increase size （n） in different proportion[the ratio of metal atoms to oxygen atoms,including MO,MO （or MO）,MO,MO].Results show that,for MO clusters,the main configurations of the cluster evolve from tubular to cubic with cluster *** MO clusters,the configurations of suspended oxygen atoms are more popular at small *** structures are more stable for a large range of cluster *** MO clusters,the pyramid unit is found in most of the stable structures,in which a central atom followed by four oxygen *** small size,the lowest energy structures maintain high symmetry,but structural symmetry are destroyed at large cluster *** MO clusters,the cage structures are the most stable,which consist of （MO） and（MO） *** contrast to the MO clusters,the MO clusters tend to have cage structures linked to quadrihedron *** relative stability for clusters are compared by the second order finite difference parameter.

关键词： structure evolution metal oxide clusters optimization algorithm

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Power Loss Reduction for Electric Vehicle Penetration with Embedded Energy Storage in Distribution Networks

Power Loss Reduction for Electric Vehicle Penetration with E...

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IEEE International Energy Conference

作者： Cheng Wang Rod Dunn Bo Lian Department of Electrical and Electronic Engineering University of Bath BA2 7AY UK|c|

ISBN: (纸本)9781479924509

Electric vehicles (EVs) are becoming more popular in modern society. These vehicles can be charged at home or in public areas with standard outlets. However, the extra power demand affects the distribution network (DN) in terms of power losses. If these vehicles are connected into the DN during peak times, it increases the power losses. One effective methods to solve this issue would be the introduction of energy storage systems (ESSs). Therefore, both active and reactive power dispatch combined with different charging periods, off peak and peak, for the ESS is proposed in this paper. The research provides both uncoordinated optimal active-reactive power flow (UA-RPF) of the ESS and the coordinated optimal active-reactive power flow (CA-RPF) of the ESS, which improves the performance of the DN. Results for the IEEE-33 distribution system are presented. It is demonstrated that 1.43MW total power losses (TPL) and 1.64MW of imports from the transmission network (TN) can be reduced by using the proposed approach.

关键词： Power losses optimization algorithm ESS

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Pressure Vessel Design Simulation Using Hybrid Harmony Search algorithm

Pressure Vessel Design Simulation Using Hybrid Harmony Searc...

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作者： Alaa A.Alomoush Mohammed I.Younis Khalid S.Aloufi AbdulRahman A.Alsewari Kamal Z.Zamli Faculty of Computing College of Computing and Applied SciencesUniviersiti Malaysia Pahang Department of Computer Engineering College of Engineering University of Baghdad College of Computer Science and Engineering Taibah University IBM Centre of Excellence Faculty of Computing College of Computing and Applied SciencesUniviersiti Malaysia Pahang

Recently the development of optimization algorithm is rapidly increased. Among several optimization algorithms, Harmony Search(HS) has been recently proposed for solving engineering optimization problems. The HS has some weaknesses such as parameters selection and falling in local optima. Many variants proposed to solve these problems. This paper presents successful hybrid algorithms with high performance to solve the pressure vessel design simulation. The hybrid algorithms consist of wellknown variants of HS and an opposition-based learning technique. The hybrid algorithm improved the HS exploration and avoiding falling in local optima, which lead the algorithm to provide significant results.

关键词： Pressure Vessel Design Harmony Search algorithm optimization algorithm hybrid algorithm opposition-based learning Computational Intelligence

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Research on Meter Image Recognition Based on Improved LeNet-5 20

Research on Meter Image Recognition Based on Improved LeNet-...

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Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering

作者： Yang Shuang Wang Gang Computer Engineering College JiMei University Xiamen City FuJian Province China

ISBN: (纸本)9781450387811

Because most mechanical instruments have no special intelligent interface, it is difficult to achieve automatic data acquisition, at the same time the domestic meter specifications have not been completely unified, so it is difficult to achieve high accuracy and high efficiency by manual data collection. In recent years, with the continuous development of information technology and computer hardware, people's demand for intelligence is also increasing. In this paper, through the optimization of the meter image preprocessing a convolution neural network model based on improved LeNet-5 is proposed to identify the meter image. Using ReLU function instead of traditional sigmoid function to solve the problem of gradient dispersion, and using max pooling to improve the sampling richness. Adding the dropout function in the full connection layer to prevent the neural network from over fitting. The experimental results show that the prediction results can be improved by optimizing the image preprocessing and improving the network model of LeNet-5. The accuracy rate can reach 99.8%, and the recognition speed is fast.

关键词： Meter Recognition Convolution Neural Network Preprocessing Machine Learning optimization algorithm

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Research on Calibration and Compensation of the Installation Errors for GFSINS with Twelve-Accelerometers

Research on Calibration and Compensation of the Installation...

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2010 Third International Symposium on Knowledge Acquisition and Modeling (KAM 2010)

作者： Cui Min, Ma Tie-hua, Zhang Hui and Yang lei Key Laboratory of Instrumentation Science & Dynamic Measurement North University of China Tai Yuan, 030051,china

In this paper, a physical model device of twelve-accelerometer’ inertial measurement unit is designed and manufactured to solve the High-speed projectile attitude angular estimation’s low precision’s problem. And proposing methods to calibrate misalignment angle and position installation error. According to the mathematical model of angular speed solving with the installation errors, nonlinear least squares is used to compensate accelerometers’ installation errors. Simulation result shows that this method can suppress installation errors effectively and acquire attitude of high efficiency. This method has some actual application value.

关键词： Twelve-accelerometer Installation error Calibration and compensation optimization algorithm

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Development of an algorithm to Control and Optimize the Coordinated Charging Process of a Group of Electric Vehicles

Development of an Algorithm to Control and Optimize the Coor...

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European Conference on Smart Objects, Systems and Technologies

作者： Roham Torabi Catarina Sabino Alvaro Gomes Energy for Sustainability Initiative University of Coimbra

ISBN: (纸本)9781467380539

The increasing number of electric vehicles (EVs) in the near future will require control systems endowed with adequate algorithms able to manage their recharging process and avoiding massive investment in reinforcement of low voltage distribution network infrastructure. The deployment of EVs as an alternative to internal combustion engines will pose new challenges for electric power systems, grid operators, electricity suppliers and consumers. The impacts of the increasing penetration of EVs will be felt at the level of the distribution grid, as the lack of infrastructure capacity may hinder the increasing number of EVs from being simultaneously charged. Scenarios in which there is no local coordination between all the EVs to be charged through the same distribution power transformer may lead to new peak demands, possibly impeding the charging of all the vehicles. Therefore, the increasing number of EVs will require a control system to manage their recharging process. This study proposes the development of a decentralized charging control system, which is able to control and optimize the charging process of number of EVs in a coordinate way. Thus charging a greater number of EVs will be feasible without needing to invest in increasing the capacity of the grid infrastructure. To accomplish this, the algorithm considers the users' preferences, such as their next time of use and desired state of charge while taking every user's tariff scheme into consideration (i.e. different price structures/values and contracted power). The optimization objectives will be set for both the distribution grid operator, maximizing the number of EVs being charged simultaneously and for the consumers, minimizing the deviation from the minimum cost of the charge. Various entities are interested in such management. For instance, the distribution grid operator is interested in managing the charging to incorporate the maximum number of EVs without massively reinforcing the grid, whereas the co

关键词： Electric vehicles Coordinated charging Decentralized control optimization algorithm

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