Flight Dynamics and Control of a Farm of Tethered Energy Systems in a Turbulent Field

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS
Ayaz Siddiqui, P. Ramaprabhu, Joe Deese, C. Vermillion
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引用次数: 5

Abstract

In this paper, we present a combined flight dynamic, control system, and wake interaction model for an array (farm) of tethered energy systems, assessing the response of the array to a turbulent incoming flow field. The model presented herein constitutes the most detailed farm-level dynamic model for tethered energy systems to-date. In particular, the model accounts for more realistic approximations of tether dynamics and added mass effects, while characterizing the ability to control the system through both tethers and control surfaces. Focusing on a specific design and array geometry for ocean current energy harvesting, we analyze the dynamic performance of the array under a turbulent flow field that is representative of the turbulent environment in the Gulf Stream. We perform a frequency domain analysis of individual tethered systems in order to better understand the attenuation properties of the modeled system.
紊流场中系留能量系统群的飞行动力学与控制
在本文中,我们提出了一个结合飞行动力学、控制系统和尾迹相互作用的阵列(农场)系留能量系统模型,评估阵列对湍流来流场的响应。本文提出的模型构成了迄今为止拴系能源系统最详细的农场级动态模型。特别是,该模型考虑了更现实的系绳动力学近似和附加的质量效应,同时描述了通过系绳和控制面控制系统的能力。针对海流能量收集的具体设计和阵列几何形状,分析了该阵列在紊流场下的动态性能,该紊流场是墨西哥湾流湍流环境的代表。为了更好地理解建模系统的衰减特性,我们对单个系绳系统进行了频域分析。
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来源期刊
Mechatronic Systems and Control
Mechatronic Systems and Control AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.40
自引率
66.70%
发文量
27
期刊介绍: This international journal publishes both theoretical and application-oriented papers on various aspects of mechatronic systems, modelling, design, conventional and intelligent control, and intelligent systems. Application areas of mechatronics may include robotics, transportation, energy systems, manufacturing, sensors, actuators, and automation. Techniques of artificial intelligence may include soft computing (fuzzy logic, neural networks, genetic algorithms/evolutionary computing, probabilistic methods, etc.). Techniques may cover frequency and time domains, linear and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques of mechatronics that combine conventional and intelligent methods are also included. First published in 1972, this journal originated with an emphasis on conventional control systems and computer-based applications. Subsequently, with rapid advances in the field and in view of the widespread interest and application of soft computing in control systems, this latter aspect was integrated into the journal. Now the area of mechatronics is included as the main focus. A unique feature of the journal is its pioneering role in bridging the gap between conventional systems and intelligent systems, with an equal emphasis on theory and practical applications, including system modelling, design and instrumentation. It appears four times per year.
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