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An output feedback motion control system for ROVs : guidance, navigation, and control

机译:ROV的输出反馈运动控制系统:制导,导航和控制

摘要

This doctoral thesis is concerned with two main subjects, namely path generationand motion control of observation class Remotely Operated Vehicles (ROVs).Both of them are examined with an emphasis on the motion control problem. Thecommon focus renders the subjects interrelated, although they can be investigatedseparately. Indeed, the investigation is carried out separately in the thesis.The first subject dealt with is path generation. A path generation scheme concerned with the generation of sufficently smooth position, velocity, and acceleration references, for guiding the motion of ROVs along purposefully pre-definedplanar and spatial curvature- and torsion-continuous paths comprised of rectilinear and curvilinear parts, is proposed. The references are meant to be used in high-performance Motion Control Systems (MCSs) with trajectory tracking and Dynamic Positioning (DP ) capabilities. Four Degrees-of-Freedom (DoFs) are simultaneously considered, namely surge, sway, heave, and yaw. Steadier motion can beattained through the use of the references, which: i) induce steadier hydro dynamiceffects, thereby inducing less plant parameter variations; and ii) demand steadier thrust forces and moments from the propulsion system. Consequently, higheroverall motion accuracy can be attained, despite the challenging operating conditions underwater, while energy saving along the motion is favoured. Towards thisend, a Reference Model (RM ) that synthesises continuous position, velocity, andacceleration references concerning a single DoF motion, either linear or angular, isinitially proposed. The RM synthesises suboptimal references with respect to thetime taken to complete the motion under the condition of constrained accelerationand velocity. The condition of suboptimality has harmless implications in practice.It is mostly a consequence of the fact that the RM has to reflect the desired motion spcefications and the bandwidth limitations of the MCS being fed with thereferences. The RM is easy to tune through its meaningful tuning parameters.Two versions of the RM are proposed: i) a basic version, which guides motionunder the condition that both the initial and the final values of the velocity andacceleration references are equal to zero; and ii) an extended version, which guidesmotion under the condition that the initial and final values of the velocity reference can be different from zero, whereas both the initial and the final valuesof the acceleration reference are equal to zero. Finally, the three references synthesised by the RM are used as the parametrisation of the group of referencesconerning multiple DoF motion which is first and foremost the aim of the proposed path generation scheme. Even though the proposed scheme focuses only onthe (typically) fully-actuated ROVs, some of the presented ideas can be adaptedto be used as a means of also guiding the motion of (typically) underactuatedmarine rafts, e.g. ships and Autonomous Underwater Vehicles (AUV s), in pathfollowing motion control applications. The path planning problem is not in thescope of this work. The proposed RM and the proposed path generation schemeare two of the main contributions found in this thesis. The mathematical development, as well as the experiments and simulations carried out, focused only onplanar curvature-continuous paths.The second subject dealt with is motion control. An MCS dedicated to controlobservation class ROVs, which are used to conduct automated (high-resolution)image-capturing missions, is proposed. The MCS essentially consists in a modelbased Multiple-Input-Multiple-Output (MIMO) output feedbak control systemthat works in tandem with an open-loop guidance system. The MIMO outputfeedbak control system is comprised of a MIMO Proportional-Integral-Derivative(PID ) controller that works in combination with a High-Gain State Observer(HGSO ). The MIMO PID controller is aided by two additional control laws: i)one that implements state feedbak linearisation of the plant dynamics; and ii)another that implements reference feedforward. An elementary thrust allocationalgorithm completes the proposed MCS. The MCS has DP and trajectory trackingcapabilities. Such capabilities enable the end-users of the ROV technology, e.g.marine archaeologists, biologists, and geologists, to obtain sequential high-qualityimages at the proper pace to construt consistent representations of objects andenvironments of interest. Four DoFs are controlled, namely surge, sway, heave,and yaw, whereas both remaining DoFs, namely roll and pitch, are left uncontrolled under the argumentation that they are self-stable - metacentric stability -by the design of the ROVs. Stability and satisfactory tracking performane are attainable through the use of suitable and suffiently smooth reference trajectories,e.g. those generated by the path generation scheme also proposed in this thesis, inspite of the presence of unmodelled plant dynamics, plant parameter variations,measurement errors and noise, and environmental disturbances. Two other maincontributions found in this thesis are the Globally Exponentially Stable (GES )model-based MIMO output feedbak MCS, and the verification of the hypothesis that an HGSO serves as an alternative to the benchmark Extended KalmanFilter (EKF ) in the proposed MCS.Results from computer simulations and full-scale sea trials, both based on theNTNU 's ROV Minerva, are presented and disussed to supp ort the developmentcarried out in the thesis.
机译:该博士论文涉及两个主要主题,即路径生成和观察类遥控车辆(ROV)的运动控制。对这两个主题都进行了重点研究的运动控制问题。尽管可以单独研究,但共同的焦点使主题相互关联。确实,研究是在论文中单独进行的。涉及的第一个主题是路径生成。提出了一种路径生成方案,该方案与足够平滑的位置,速度和加速度参考的生成有关,用于指导ROV沿着由直线和曲线部分组成的有目的地预先定义的平面和空间曲率和扭转连续路径运动。这些参考文献旨在用于具有轨迹跟踪和动态定位(DP)功能的高性能运动控制系统(MCS)。同时考虑四个自由度(DoF),即喘振,摇摆,起伏和偏航。通过使用参考可以达到稳定的运动,这些运动:i)产生更稳定的水动力效应,从而减少植物参数的变化; ii)从推进系统中获得更稳定的推力和力矩。因此,尽管在水下具有挑战性的工作条件,仍可以获得更高的整体运动精度,同时有利于沿运动进行节能。为此,最初提出了一种参考模型(RM),该模型综合了关于单个DoF运动(线性或角度运动)的连续位置,速度和加速度参考。 RM在加速度和速度受约束的条件下,针对完成运动所需的时间综合了次优参考。次优条件的条件在实践中具有无害的暗示。这主要是由于RM必须反映期望的运动指标和以参考为基础的MCS的带宽限制这一事实。 RM易于通过其有意义的调整参数进行调整。提出了两个版本的RM:i)基本版本,在速度和加速度参考值的初始值和最终值均等于零的情况下指导运动。 ii)扩展版本,它在速度参考的初始值和最终值可以不同于零的条件下引导运动,而加速度参考的初始值和最终值都等于零。最后,由RM合成的三个参考用作具有多个DoF运动的参考组的参数化,这是所提出的路径生成方案的首要目标。即使所提出的方案仅集中于(典型地)完全致动的ROV,所提出的一些思想也可以适于用作引导(典型地)欠致动的海洋筏运动的手段,例如。跟随运动控制应用的船舶和自动驾驶水下航行器(AUV)。路径规划问题不在这项工作的范围之内。提出的RM和提出的路径生成方案是本文的两个主要贡献。数学发展以及进行的实验和模拟仅关注平面曲率连续路径。第二个主题是运动控制。提出了一种专用于控制观测类ROV的MCS,该MCS用于执行自动(高分辨率)图像捕获任务。 MCS本质上包含一个基于模型的多输入多输出(MIMO)输出feedbak控制系统,该系统与开环制导系统协同工作。 MIMO输出反馈控制系统由与高增益状态观测器(HGSO)结合工作的MIMO比例积分微分(PID)控制器组成。 MIMO PID控制器还受到另外两个控制律的辅助:i)一个实现工厂动态状态馈送线性化的控制; ii)实现参考前馈的另一个。基本推力分配算法完成了提出的MCS。 MCS具有DP和轨迹跟踪功能。这样的功能使ROV技术的最终用户(例如海洋考古学家,生物学家和地质学家)能够以适当的速度获得连续的高质量图像,以构建对物体和感兴趣环境的一致表示。四个自由度是受控的,即喘振,摇摆,起伏和偏航,而剩余的两个自由度(即滚动和俯仰)则通过ROV的设计而被认为是自稳定的(亚中心稳定性)而不受控制。通过使用适当且足够平滑的参考轨迹,例如可以实现稳定性和令人满意的跟踪性能。尽管存在未建模的植物动力学,植物参数变化,但本文还提出了通过路径生成方案生成的那些,测量误差和噪声以及环境干扰。本论文中发现的另外两个主要贡献是基于全局指数稳定(GES)模型的MIMO输出feedbak MCS,以及对HGSO可以替代拟议MCS中基准扩展KalmanFilter(EKF)的假设的验证。本文基于NTNU的ROV Minerva,从计算机模拟和大规模海试中提出并进行了讨论,以支持本文进行的开发。

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