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modeling and simulation of Vehicle Engine PMSM Cooling System Based on Fuzzy Control 3

Modeling and Simulation of Vehicle Engine PMSM Cooling Syste...

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3rd IEEE International Electrical and Energy conference (CIEEC)

作者： Gui, Chengdong Chen, Wenguang Du, Jia Hu, Wei Univ South China Sch Elect Engn Hengyang 421000 Hunan Peoples R China

ISBN: (纸本)9781728116754

From the perspective of thermodynamics, based on the structural characteristics of the vehicle engine permanent magnet synchronous motor (PMSM) driving cooling system and the principle of heat dissipation, a simplified mathematical model of the cooling system is established. Taking the optimal coolant temperature and system energy consumption optimization at the engine as the research goal, the fuzzy control algorithm is adopted to adjust the speed of the motor-driven cooling fan, and a nonlinear control strategy is introduced for a comparative study. The energy consumption of the cooling system is analyzed and optimized to ensure optimum engine outlet coolant temperature. The results show that the fuzzy control strategy has a fast response speed, which can control the coolant temperature at engine outlet within 90 +/- 0.25 degrees C, and can reduce the energy consumption of the entire cooling system.

关键词： Cooling system Mathematical model Coolant Temperature Energy consumption optimization Fuzzy control

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A DESIGNER-driven WELDING simulation ANALYSIS TO DEFINE THE BEST WELD SEQUENCE FOR PANEL STRUCTURES

A DESIGNER-DRIVEN WELDING SIMULATION ANALYSIS TO DEFINE THE ...

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ASME Pressure Vessels and Piping conference (PVP 2018)

作者： Asadi, Mahyar Kashani, Majid Tanbakuei Mohseni, Mohammad Smith, Mathew SKC Engn 19165 94th Ave Surrey BC V4N 3S4 Canada

ISBN: (纸本)9780791851685

Distortion is a common problem in welded panel structures, historically techniques to mitigate this problem have been developed empirically. A usual approach involves defining an intermittent weld sequence, a process that is extremely difficult to optimize given the large number of possible combinations i.e. hundreds or even thousands for multi-pass welds. Typically, plans to control weld distortion are therefore largely intuitive with welding engineers relying on their experience combined with the results of a limited number of practical tests. However, with modern computing, welding engineers can now include all the physics of welding in a simulation allowing them to cheaply and efficiently optimize a welding sequence without the need for multiple physical samples. The final welding procedure is then physically qualified based on the simulation results. In this paper, the authors present their use of computer modeling to automate the implementation of welding patterns to minimize distortion in panel lines, We describe a signature technique based on the Joint Rigidity Method where a combinatorial algorithm optimizes the welding sequence based on the panel's resistance to angular bending i.e. the welding sequence starts at the point in the panel with the highest rigidity and moves progressively toward the lowest rigidity thereby minimizing distortion. This enables the designer to carry out an optimization of this complex weld design without relying on empirical observations.

关键词： Welding simulation analysis

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Small data driven metaheuristic petro-elastic model development using seismic inversion 81

Small data driven metaheuristic petro-elastic model developm...

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SPE Europec Featured at 81st EAGE conference and Exhibition 2019

作者： Ramsay, Travis Halliburton United States

ISBN: (纸本)9781613996614

The petro-elastic model (PEM) represents an integral component in the closed-loop calibration of integrated four-dimensional (4D) solutions incorporating time-lapse seismic, elastic and petrophysical rock property modeling, and reservoir simulation. Calibration of the reservoir simulation model is needed so that it is not only consistent with production history but also with the contemporaneous subsurface description as characterized by time-lapse seismic. The PEM requires dry rock properties in its description, which are typically derived from mechanical rock tests. In the absence of those mechanical tests, a small data challenge is posed, whereby all necessary data is not available but the value of reconciling seismic attributes to simulated production remains. A seismic inversion-constrained n-dimensional metaheuristic optimization technique is employed directly on three-dimensional (3D) geocellular arrays to determine elastic and density properties for the PEM embedded in the commercial reservoir simulator. Ill-posed dry elastic and density property models are considered in a field case where the seismic inversion and petrophysical property model constrained by seismic inversion exist. An n-dimensional design optimization technique is implemented to determine the optimal solution of a multidimensional pseudo-objective function comprised of multidimensional design variables. This study investigates the execution of a modified particle swarm optimization (PSO) method combined with an exterior penalty function (EPF) with varied constraints. The proposed technique involves using n-dimensional design optimization to solve the pseudo-objective function comprised of the PSO and EPF given limited availability of constraints. In this work, an examination of heavily and reduced-order penalized metaheuristic optimization processes, where the design variables and optimal solution are derived from 3D arrays, is conducted so that constraint applicability is quantified. While

关键词： Calibration

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Waveform optimization for Near-Field Wireless Powered Communication Using a Coil Array

Waveform Optimization for Near-Field Wireless Powered Commun...

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Asilomar conference on Signals, Systems & Computers

作者： Tomohiro Arakawa James V. Krogmeier David J. Love School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

driven by the growing number of Internet of Things (IoT) devices, there is a pressing need for powering devices wirelessly while communicating with them. This paper considers wireless powered communication (WPC) using near-field inductive coupling, a technique to communicate with remote devices that do not have batteries or a power supply. While near-field WPC has long been used for passive radio-frequency identification (RFID) systems, the performances of communication and power transfer have not been fully analyzed. This paper models near-field WPC using a coil array based on an abstract circuit model in which the characteristics of mutual coupling and other linear effects are captured by a small number of parameters. We investigate how the choices of load impedances and source voltages affect the performance of power transfer and communication. The improvement in power and information transfer are verified by simulation.

关键词： Wireless communication Performance evaluation Power supplies Pressing Internet of Things Integrated circuit modeling Passive RFID tags

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10th Annual Symposium on simulation for Architecture and Urban Design, SimAUD 2019

10th Annual Symposium on Simulation for Architecture and Urb...

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10th Annual Symposium on simulation for Architecture and Urban Design, SimAUD 2019

The proceedings contain 41 papers. The special focus in this conference is on simulation for Architecture and Urban Design. The topics include: Streets, parks & plazas: Analyzing daylight in the public realm;unleashing the diversity of conceptual building renovation design: Integrating high-fidelity simulation with rapid constraint-based scenario generation;application of surrogate modeling to multi-objective optimization for residential retrofit design;aerial thermography as a tool to inform building envelope simulation models;Towards assembly information modeling (AIM);influence of subjective impressions of a space on brightness satisfaction: An experimental study in virtual reality;immersive representation of urban data;a data-driven framework for urban building operational energy use modeling;an integrated urban planning and simulation method to enforce spatial resilience towards flooding hazards;A method for integrating an UBEM with GIS for spatiotemporal visualization and analysis;a technique for developing high-resolution residential occupancy schedules for urban energy models;environmental data and land use: Integration of site-specific ecology and urban design;how to generate a thousand master plans: A framework for computational urban design;cityfiction – scenarios for densification;exploring urban walkability models and pedestrian movement trends in a vancouver neighbourhood;a simulation-based design analysis for the assessment of indoor comfort under the effect of solar radiation;black globe free convection measurement error potentials;Assessing the performance of UFAD system in an office building located in various climate zones;evaluating the influence of three simplifications on natural ventilation rate simulation;adaptive occupancy scheduling: Exploiting microclimate variations in buildings;environmentally informed robotic-aided fabrication.

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Deployment of Multiple Demand Response Programs Using Data-driven Multi-Step Method with Elasticity

Deployment of Multiple Demand Response Programs Using Data-D...

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Annual conference of Industrial Electronics Society

作者： Charles Ibrahim Imad Mougharbel Hadi Y. Kanaan Nivine Abou Daher Semaan Georges Maarouf Saad Faculty of Engineering – ESIB Saint-Joseph University of Beirut Lebanon Ecole de Technologie Supérieure Montreal Canada Institut de Recherche Hydro Québec Canada Computer and Communication Engineering Notre Dame University Beirut Lebanon

ISBN: (数字)9781728154145

ISBN: (纸本)9781728154152

Assessment and qualification of consumers' behavior play an important role in the selection of the suitable Demand Response Programs (DRPs) achieving their engagement and satisfaction. Targeting the assessed consumers' clusters with adequate and elastic pricing schemes ensures their participation. The model offers the full visibility on the dynamicity of pricing and demands for the various simultaneous clusters' DRPs operating in a synchronized manner. The originality of this paper resides in the classification of consumers' behaviors according to the criteria and the elasticity of the multiple dynamic offered pricing schemes for the clusters along with their impacts on each other. An optimal solution is reached through assessment, qualification, planning, benefits' visibility on various proposals and relocation. Intensive what if scenarios assist in the decision making process of the optimal selection in a planned phase. Thus, contracts' terms and conditions suiting the consumers and the electrical utility are arranged. The method is validated through a simulation on Matlab using clustering and multi-objective optimization.

关键词： Elasticity Pricing optimization Load modeling Real-time systems Mathematical model Heuristic algorithms

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Multiphysics Dynamic Model Validation Methodology for Laser-driven Microrobots 15

Multiphysics Dynamic Model Validation Methodology for Laser-...

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15th IEEE International conference on Automation Science and Engineering (IEEE CASE)

作者： Yang, Zhong Saadatzi, Mohammad N. Zhang, Ruoshi Sherehiy, Andriy Wei, Danming Harnett, Cindy K. Popa, Dan O. Univ Louisville Dept Elect & Comp Engn Next Generat Syst Grp Louisville KY 40292 USA

ISBN: (纸本)9781728103563

In this paper we discuss a comprehensive multiphysics modeling and simulation approach with experimental validation, aimed at understanding the behavior of laser-driven microrobot locomotion on two-dimensional (2D) substrates. The ChevBot is a novel class of light actuated sub-millimetric microrobots that can perform tasks equivalent to mobile robots in future microfactories for nano-bio-technology. The robot dynamics is driven by a complex Opto-Thermo-Mechanical conversion mechanism and stick-and-slip locomotion, which are difficult to simulate. Therefore, 1D and 2D reduced order models are proposed to approximate the microrobot dynamics. Models are then validated using a combination of Finite Element Analysis simulations and direct experimentation. The framework presented here automates the process of collecting motion tracking data from microrobots and uses it to validate dynamic models. In the future, our models can be used in subsequent closed-loop control and design optimization studies.

关键词： Dynamic models

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Society of Petroleum Engineers - SPE Gas and Oil Technology Showcase and conference 2019, GOTS 2019

Society of Petroleum Engineers - SPE Gas and Oil Technology ...

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SPE Gas and Oil Technology Showcase and conference 2019, GOTS 2019

ISBN: (纸本)9781613997048

The proceedings contain 107 papers. The topics discussed include: accomplishing long-term sustainable well and reservoir health by employing a statistical methodology for choke size estimation in an integrated asset model;accurate prediction of CO2 minimum miscibility pressure using adaptive neuro-fuzzy inference systems;acid stimulation of gas wells with severely impaired gravel pack completion a case study of Mumbai offshore;acidic steam modeling and simulation for heavy oil and extra heavy oil reservoirs;advanced and integrated petrophysical evaluation for reservoir characterization of complex carbonate reservoir - case study;advanced logs and seismic driven geomechanics in complex sandstone reservoirs for drilling optimization;an artificial intelligence approach to predict molar compositions of reservoir fluid components;and automatic gas influxes detection in offshore drilling based on machine learning technology.

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Multi-Objective Simultaneous optimization for Linear Projects Scheduling

Multi-Objective Simultaneous Optimization for Linear Project...

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ASCE International conference on Computing in Civil Engineering (i3CE)

作者： Eid, Mohamed S. Elbeltagi, Emad E. El-Adaway, Islam H. Arab Acad Sci Technol & Maritime Construct & Bldg Engn Cairo 11799 Egypt Mansoura Univ Dept Struct Engn Mansoura 35516 Egypt Missouri Univ Sci & Technol Construct Engn & Management Dept Civil Architectural & Environm Engn 211 Butler Carlton Hall1401 N Pine St Rolla MO 65409 USA Missouri Univ Sci & Technol Dept Engn Management & Syst Engn 211 Butler Carlton Hall1401 N Pine St Rolla MO 65409 USA

ISBN: (数字)9780784482421

ISBN: (纸本)9780784482421

Scheduling linear projects requires an optimization tool that does not only minimizes project duration and cost, but also maximizes the utilization of crews, accounts for travelling distance between units, and meets the delivery dates of the project's units. This paper presents a multi-objective optimization model for scheduling linear projects through developing set of non-dominated optimal schedules. The proposed model consists of: ( 1) a resource driven scheduling module accounting for heterogeneity among construction crews, and ( 2) an evolutionary optimization module via genetics algorithms ( GAs) and Pareto front sorting ( PFS) that searches the solution space for optimal schedules. The model is tested on a case study drawn from the literature and provided significantly better results compared to some of the well-recognized scheduling models. The proposed model is coded using Visual Basics for Applications on a commercial scheduling tool and can be easily adopted by practitioners to provide a broad-spectrum of optimal schedules.

关键词： Solution space construction crews crews Optimal Travel distance Optimal scheduling scheduler module

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Gaussian Process Based Distributed Model Predictive Control for Multi-agent Systems using Sequential Convex Programming and ADMM

Gaussian Process Based Distributed Model Predictive Control ...

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Control Technology and Applications (CCTA),

作者： Viet-Anh Le Truong X. Nghiem School of Informatics Computing and Cyber Systems Northern Arizona University

ISBN: (数字)9781728171401

ISBN: (纸本)9781728171418

This paper develops a distributed algorithm for data-driven Distributed Model Predictive Control (DMPC) for multi-agent control systems, where the agents' dynamics are modeled by Gaussian Processes (GPs). A multi-agent control system with a coordinator is considered, in which computation and data must be distributed among the agents and the coordinator. We employ the linearized Gaussian Process (linGP) concept, proposed in our previous works, to sequentially approximate the stochastic latent processes of the GP models in a Sequential Convex Programming (SCP) framework, leading to a convex linGP-DMPC subproblem, which is solved cooperatively by the agents with the ADMM algorithm. The resulting distributed algorithm, called linGP-SCP-ADMM, can solve nonconvex GP-DMPC for multi-agent systems effectively since the data and computation are distributed among the agents. The effectiveness and advantages of the proposed algorithm are evaluated by simulation in a formation control example.

关键词： Control systems Prediction algorithms Mathematical model optimization Gaussian processes Multi-agent systems Computational modeling

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