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Assessing the influence of nonlinear mooring restoring forces in the optimization and design of FOWT 21

Assessing the influence of nonlinear mooring restoring force...

引用

21st European Energy Research Alliance Meeting

作者： Amaral, Giovanni A. Mas-Soler, Jordi Simos, Alexandre N. Univ Sao Paulo Offshore Mech Lab LMO Escola Politecn Sao Paulo Brazil Technomar Engn Ocean Sao Paulo Brazil Univ Sao Paulo Naval Arch & Ocean Engn Dept Escola Politecn Sao Paulo Brazil

The design of mooring systems plays a pivotal role in the success of Floating Offshore Wind Turbine (FOWT) projects. This process naturally involves iterations, as design and analysis are intricately linked. Despite the inherent nonlinearity of mooring system restoring forces, many designers opt for employing an equivalent linear mooring system stiffness matrix to expedite the optimization process in early design stages. This article aims to underscore the limitations associated with relying on the equivalent linear model when compared to accounting for nonlinear restoring forces during optimization processes. To illustrate this point, a case study was conducted using the reference semi-submersible platform VolturnUS-S. The study considered intermediate to large water depths and addressed three different mooring configurations: catenary, semi-taut, and taut lines. The analysis focused on several critical aspects, including offset watch circles, line tensions (including those at the anchors), and a cost estimate based on the different models. The findings indicate that, for catenary-based mooring systems, the linear model remains a good approximation, leading to no significant loss of accuracy in the context of early design stages. As the lines become tauter, however, the nonlinearities become more pronounced and the errors involved in the linear model can reach unacceptable levels.

关键词： Floating Offshore Wind Turbine FOWT Mooring system optimization Nonlinear modeling Deep-water conditions

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A modeling Method Based on Koopman Operator Theory for Omnidirectional Mobile Manipulator system 21

A Modeling Method Based on Koopman Operator Theory for Omnid...

引用

21st IEEE International conference on Mechatronics and Automation (IEEE ICMA)

作者： Wang, Dong Wang, Binjie Zhang, Tong Ren, Chao Tianjin Inst Aerosp Mech & Elect Equipment Tianjin Key Lab Aerosp Intelligent Equipment Tech Tianjin Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China Tianjin Jinhang Inst Comp Technol Tianjin Peoples R China

ISBN: (纸本)9798350388084;9798350388077

The omnidirectional mobile robotic arm system is a highly coupled, multivariate, and highly nonlinear system. The traditional modeling approach uses Lagrange method to establish dynamic model, which suffers from issues of complex modeling, unknown model parameters, and insufficient accuracy in modeling. In this paper, a modeling method based on Koopman operator theory is proposed for this system, which is essentially a data-driven modeling method. Specifically, this paper collects data on system dynamic characteristics and transforms complex nonlinear models into high-dimensional linear models. This paper preprocesses the voltage data in the dataset based on platform characteristics and obtains the Koopman high-dimensional linear model, avoiding the complex modeling problems using Lagrange methods. Simulation has been performed, which confirms the accuracy and effectiveness of using Koopman operator theory for modeling omnidirectional mobile manipulators.

关键词： Lagrange multipliers

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Runtime Orchestration of Distributed Control system Services with TOSCA, Kubernetes, and GitOps 21

Runtime Orchestration of Distributed Control System Services...

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21st International conference on Software Architecture (ICSA)

作者： Linsbauer, Sofia Hark, Rhaban Koziolek, Heiko Eskandani, Nafise ABB Corp Res Ctr Mannheim Germany

ISBN: (纸本)9798350366266;9798350366259

Runtime orchestration of cloud-native microservice systems remains a challenge with many technology options, such as Kubernetes for managing containers and OASIS TOSCA, a standard for orchestrating cloud services. Researchers and practitioners have proposed different approaches on how the benefits of Kubernetes and TOSCA could be combined, but followed different design philosophies and did not reach consensus. An analysis of the different combinations is missing and existing TOSCA and Kubernetes combinations do not consider the integration of real-time embedded controllers without container workloads, nor a safeguarding of configuration changes, which can be achieved using the GitOps paradigm. In this experience report, we describe and analyze different options for combining TOSCA and Kubernetes. Following one of the options, we have enhanced an existing TOSCA orchestrator to demonstrate software updates across heterogeneous software services as well as a GitOps extension for TOSCA service models. We found that TOSCA workflows are well suited for updates spanning different technologies and that a custom GitOps operator is needed in case not all components are orchestrated by Kubernetes.

关键词： Software architecture microservices software containers deployment OASIS TOSCA Kubernetes distributed control systems case study modeling GitOps

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On optimization of Feed Network for Monopulse Radar using Sequentially Quadratic Programming 21

On Optimization of Feed Network for Monopulse Radar using Se...

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21st International Bhurban conference on Applied Sciences and Technology, IBCAst 2024

作者： Ahmed, Waqas Murtaza, Hassan CESAT Islamabad Pakistan

ISBN: (纸本)9798331516680

A novel method for simplifying the feed network of reconfigurable antenna arrays designed for monopulse radar applications has been introduced and evaluated. This innovative radiating system enables users to define the radiation characteristics for both sum and difference patterns while sharing the excitation amplitudes for a selected set of radiating elements. Additionally, the proposed design methodology ensures optimal feed network size, desired beamwidth, sidelobe levels, and the appropriate slope in the direction of the generated power patterns. The synthesis problem is formulated and addressed as a series of constrained minimization problems, thereby achieving performance maximization with benefits in computational efficiency and convergence to the global optimum. Theoretical insights are corroborated by both numerical simulations and experimental results, including antenna arrays. © 2024 IEEE.

关键词： Monopulse radar

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Load Flow Analysis and optimization for Smart Grid Integration in Power systems 21

Load Flow Analysis and Optimization for Smart Grid Integrati...

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21st International Learning and Technology conference, L and T 2024

作者： Alamoudi, Nora Baqais, Fatima Mustafa, Lama Barakat, Enfel Effat University Electrical and Computer Engineering Department Jeddah Saudi Arabia

ISBN: (纸本)9798350393569

The evolution of traditional power systems into smart grids has been pivotal in enhancing grid efficiency, stability, and sustainability. This study presents a comprehensive load flow analysis and optimization framework tailored for the integration of smart grid components, including hybrid photovoltaic (PV) and wind power systems, coupled with a Battery Management system (BMS) and a Unified Power Flow Controller (UPFC). The research developed a simulation model in Matlab to analyze the performance of a residential microgrid under normal and fault conditions. The results underscored the benefits of integrating distributed generation and intelligent control systems, demonstrating significant improvements in voltage regulation, line loadings, and overall system stability. The smart grid-integrated approach was compared with traditional load flow methods, revealing its superiority in accommodating renewable energy sources and enhancing grid resilience. The study concludes that intelligent control-based grid integration is not only feasible but also imperative for modern power systems, laying the groundwork for future advancements in smart grid technology. © 2024 IEEE.

关键词： MATLAB

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Design and Analysis of Broadband Vibrational Energy Harvester Based on Switchable Dynamical system Using Electropermanent Magnet 21

Design and Analysis of Broadband Vibrational Energy Harveste...

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IEEE 21st Biennial conference on Electromagnetic Field Computation (IEEE CEFC)

作者： Kato, Masayuki Kitayama, Fumiya Ibaraki Univ Elect & Elect Syst Engn Ibaraki Japan Ibaraki Univ Mech Syst Engn Ibaraki Japan

ISBN: (纸本)9798350348958;9798350348965

This paper proposes a new broadband vibrational energy harvester (VEH) based on switchable dynamical systems using an electropermanent magnet (EPM). A broadband harvesting characteristic is evaluated by solving governing equations of the VEH numerically. The effectiveness of the proposed VEH is verified by comparing a drastic increase in a harvested power with a Joule loss due to a short-time pulsed current applied to the EPM.

关键词： AlNiCo magnet broadband electropermanent magnet energy harvesting finite element analysis optimization

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Development of Meta-Heuristic optimization Based Control of Redesigned VW Crafter Hybrid Vehicle 21

Development of Meta-Heuristic Optimization Based Control of ...

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IEEE 21st International Power Electronics and Motion Control conference (PEMC)

作者： Babangida, Aminu Korondi, Peter Dios, Szabolcs Sandor Szemes, Peter Tamas Univ Debrecen Dept Mechatron Engn Debrecen Hungary

ISBN: (纸本)9798350385236;9798350385243

This paper uses the MATLAB/Simulink/Simscape environment to evaluate the performance of a conventional Volkswagen (VW) Crafter, equipped with a 6-speed manual gearbox and a 2.0 Turbocharged Direct Injection Common Rail Diesel (TDI CR) engine, which is converted into a hybrid vehicle. A parallel hybrid vehicle powered by a Permanent Magnet Synchronous Motor (PMSM) is compared to the conventional version. A genetic algorithm (GA) is applied to tune the classical PID controller to optimize energy consumption. A novel methodology is also introduced based on the hardware-in-the-loop (HIL) method, leveraging an online data acquisition (DAQ) system integrated into the vehicle's Controller Area Network (CAN Bus) system. The acquired CAN bus data is analyzed using LabVIEW and Net CAN plus 110 hardware. The simulated vehicle demonstrates better performance than the real vehicle based on the comparison between the simulation and experimental results. The transformed hybrid vehicle achieves 75.11% reduction in fuel consumption and an energy efficiency of 84.62%.

关键词： Energy Management Diesel Engines LabVIEW Manual Gearbox MATLAB/Simulink

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optimization Configuration Method for Harmonic Monitoring in Local Distribution Networks for Global Harmonics Improvement 21

Optimization Configuration Method for Harmonic Monitoring in...

引用

21st International conference on Harmonics and Quality of Power

作者： Mu, Xiaobin Feng, Wei Dai, Fengjiao Yi, Hao Yang, Zebin Liu, Wenbin State Grid Smart Grid Res Inst Co Ltd Dept Power Elect Beijing Peoples R China Xi An Jiao Tong Univ State Key Lab Elect Insulat & Power Equipment Xian Peoples R China State Grid Shandong Elect Power Res Inst Jinan Peoples R China

ISBN: (纸本)9798350382570;9798350382563

The increase of nonlinear loads in distribution networks has led to a more serious harmonic issue and an increasing demand for monitoring and mitigation. The traditional configuration of monitoring and control equipment requires access to numerous devices, resulting in low efficiency and high costs. Aiming at global harmonic improvement, this article presents an optimal configuration method for harmonic monitoring devices. Firstly, the topology connectivity model is established based on the network topology for harmonic state estimation and observability analysis. Subsequently, the ant colony algorithm is adapted to determine the quantity and position of monitoring devices. Based on the optimal configuration result of harmonic monitoring devices, an improved multi-objective ant colony algorithm is proposed to solve the configuration of active power filters (APFs) to achieve global harmonic improvement. Then, an IEEE-18 bus test system that incorporates nonlinear loads is conducted in simulation. After configuring harmonic monitoring devices and APFs according to the results, the harmonic distortion in the distribution network can meet the recommended standard.

关键词： harmonic monitoring active power filter (APF) optimal configuration ant colony optimization multi-objective ant colony algorithm

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modeling of a rail vehicle's active suspension system to reduce vibrations using an LQR 21

Modeling of a rail vehicle's active suspension system to red...

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21st International Multi-conference on systems, Signals and Devices, SSD 2024

作者： Urooj, Ahtisham Saif, Abdul-Wahid A. King Fahd University of Petroleum & Minerals Control and Instrumentation Engineering Department Dhahran31261 Saudi Arabia Interdisciplinary Research Center for Smart Mobility and Logistics King Fahd University of Petroleum & Minerals Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350374131

This study compares the performance of two control strategies, Linear Quadratic Regulator (LQR) and pole placement controller, in both active and passive suspension systems. The investigation aims to evaluate the effectiveness of each strategy in enhancing ride comfort and rail handling capabilities. The research demonstrates that while the pole placement controller exhibits lower overshoot in the active suspension system compared to the passive system, the LQR controller significantly outperforms the pole placement controller in terms of minimizing overshoot and settling time. This indicates the superiority of the LQR controller for controlling the system's behavior, making it a more suitable choice for optimizing suspension systems. Furthermore, the analysis highlights that the control effort of the pole placement controller is significantly larger than that of the LQR controller, emphasizing the importance of efficiency and energy consumption in control strategy selection. © 2024 IEEE.

关键词： Energy utilization

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21st International conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2024

21st International Conference on the Integration of Constrai...

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21st International conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2024

ISBN: (纸本)9783031606014

The proceedings contain 21 papers. The special focus in this conference is on Integration of Constraint Programming, Artificial Intelligence, and Operations Research. The topics include: Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem;efficiently Mining Closed Interval Patterns with Constraint Programming;Local Alterations of the Lagrange Multipliers for Enhancing the Filtering of the AtMostNValue Constraint;Single Constant Multiplication for SAT;towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches;accelerating Continuous Variable Coherent Ising Machines via Momentum;decision-Focused Predictions via Pessimistic Bilevel optimization: A Computational study;bi-objective Discrete Graphical Model optimization;an Exploration of Exact Methods for Effective Network Failure Detection and Diagnosis;UNSAT Solver Synthesis via Monte Carlo Forest Search;a Hybrid Approach Integrating Generalized Arc Consistency and Differential Evolution for Global optimization;assessing Group Fairness with Social Welfare optimization;modeling and Exploiting Dominance Rules for Discrete optimization with Decision Diagrams;ViolationLS: Constraint-Based Local Search in CP-SAT;ULD Build-Up Scheduling with Logic-Based Benders Decomposition;a Benders Decomposition Approach for a Capacitated Multi-vehicle Covering Tour Problem with Intermediate Facilities;don’t Explain Noise: Robust Counterfactuals for Randomized Ensembles;Certifying MIP-Based Presolve Reductions for 0–1 Integer Linear Programs;learning to Solve Job Shop Scheduling Under Uncertainty.

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