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Modeling and observer-based robust control design for energy-dense monopropellant powered actuators.

机译:基于建模和基于观测器的鲁棒控制设计,用于能量密集型单推进剂驱动的执行器。

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摘要

This dissertation presents the development of a monopropellant-based power supply and actuation system for human scale robots that is energy and power dense with the ability to be controlled accurately at a high bandwidth. This kind of actuation system is known to have an actuation potential an order of magnitude better than conventional battery-DC motor based actuation systems. Though a monopropellant-based actuator has the appeal of being simple in design, it is fairly complex in terms of the physics of its operation. The complex interaction between several energy domains and the nonlinear nature of many of them necessitates a model-based control design to provide adequately accurate, high-bandwidth, efficient, and stable operation as generally required of a mobile robot platform. In order to obtain a model-based controller, a physics-based model of this kind of a system is derived in this work. The control architecture of the centralized configuration is then presented which is shown to provide stable servo tracking of the system. This model-based controller is designed on the basis of Lyapunov stability-based sliding mode control theory to control the inertial mass. A model-based predictive controller is additionally implemented for the control of rate of pressurization and regulation of the supply pressure in the reservoir. Since the model-based control of the actuators necessitates the use of two high-temperature pressure sensors, these sensors add substantial cost to the monopropellant-based servo system. In order to make the chemofluidic system more cost effective and economically viable, a nonlinear pressure observer is developed in this work. This observer utilizes the available knowledge of other measurable states of the system to reconstruct the pressure states. The elimination of pressure sensors reduces the initial cost of the system by more than fifty percent. Additionally, the use of pressure observers along with the design of a robust controller results in lower weight, more compact and lower maintenance system.;The development of two Lyapunov-based nonlinear pressure observers for pneumatic systems is also presented in this work. The implementation of pressure observers instead of expensive pressure sensors reduces the cost of the system by nearly thirty percent. These savings are achieved without any compromise on the quality of servo tracking of the system. The results presented demonstrate that the tracking performance using pressure observers versus using pressure sensors is in essence indistinguishable.
机译:本文提出了一种用于人类规模机器人的基于单推进剂的电源和致动系统的开发,该系统具有高能量和高功率密度,并且能够在高带宽下进行精确控制。已知这种致动系统具有比传统的基于电池-DC电动机的致动系统好一个数量级的致动电势。尽管基于单推进剂的执行器具有设计简单的吸引力,但就其操作物理而言,它相当复杂。多个能量域之间的复杂相互作用以及其中许多能量域的非线性性质,使得基于模型的控制设计有必要提供移动机器人平台通常所需的足够准确,高带宽,高效且稳定的操作。为了获得基于模型的控制器,在这项工作中派生了这种系统的基于物理学的模型。然后介绍了集中式配置的控制体系结构,该体系结构显示为提供了系统的稳定伺服跟踪。该基于模型的控制器是基于Lyapunov基于稳定性的滑模控制理论设计的,用于控制惯性质量。此外,还基于模型的预测控制器用于控制增压速率和调节储罐中的供应压力。由于执行器的基于模型的控制需要使用两个高温压力传感器,因此这些传感器为基于单推进剂的伺服系统增加了可观的成本。为了使化学流体系统更具成本效益并在经济上可行,在这项工作中开发了一种非线性压力观测器。该观察者利用系统其他可测量状态的可用知识来重建压力状态。消除压力传感器可将系统的初始成本降低50%以上。此外,使用压力观测器以及坚固的控制器的设计可减轻重量,减小结构并降低维护系统。本工作还介绍了两个基于Lyapunov的气动系统非线性压力观测器的开发。使用压力观测器代替昂贵的压力传感器可将系统成本降低近30%。这些节省是在不影响系统伺服跟踪质量的情况下实现的。给出的结果表明,使用压力观测器与使用压力传感器的跟踪性能本质上是无法区分的。

著录项

  • 作者

    Gulati, Navneet.;

  • 作者单位

    Vanderbilt University.;

  • 授予单位 Vanderbilt University.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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