Dynamic Response and Maneuvering

نویسنده

  • Lauren Alise Cooney
چکیده

The Odyssey IV autonomous underwater vehicle (AUV) is the next generation of unmanned subsurface robots from the MIT Sea Grant AUV Laboratory. The Odyssey IV AUV has a novel propulsion system, which includes a pair of azimuthing thrusters for maneuvering in surge and heave. An analytical model was developed to describe the complex nonlinear vehicle dynamics, and experiments were performed to refine this model. The fluid dynamics of unsteady azimuthing marine propulsors are largely unstudied, especially for small vehicles like the Odyssey IV AUV. Experiments suggest that thrust developed by an azimuthing propulsor is dependent on the azimuth angle rate of change, and can substantially affect vehicle dynamics. A simple model capturing the effects of azimuthing on the thruster dynamics is developed, and is shown to improve behavior of the model. The use of azimuthing thrusters presents interesting problems and opportunities in maneuvering and control. Nonlinear model predictive control (MPC) is a technique that consists of the real-time optimization of a nonlinear dynamic system model, with the ability to handle constraints and nonlinearities. In this work, several variations of simulated and experimental MPC-based controllers are investigated. The primary challenge in applying nonlinear MPC to the Odyssey IV is solving the time intensive trajectory optimization problem online. Simulations suggest that MPC is able to capitalize on its knowledge of the system, allowing more aggressive trajectories than a traditional PID controller. Thesis Supervisor: Franz S Hover Title: Assistant Professor Acknowledgments First and foremost, I would like to thank my advisor, Professor Franz Hover, for providing me with guidance and encouragement throughout both my undergraduate and graduate careers. The members of the MIT AUV Lab past and present have built an awesome vehicle in the Odyssey IV AUV, and I appreciate all of their support. Justin Eskesen was an amazing source of knowledge regarding all things software. Thank you to the Department of Defense for providing me with a National Defense Science and Engineering Graduate (NDSEG) Fellowship, which has allowed me to dive into my interests. My office mates and the members of the Hover group provided interesting discussions. I want to thank Jordan Stanway for not only keeping me sane, but for also being an incredible source of knowledge and advice. Finally, I thank my family for their constant support and encouragement throughout my entire time at MIT.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Improved UFIR Tracking Algorithm for Maneuvering Target

Maneuvering target tracking is a target motion estimation problem, which can describe the irregular target maneuvering motion. It has been widely used in the field of military and civilian applications. In the maneuvering target tracking, the performance of Kalman filter (KF) and its improved algorithms depend on the accuracy of process noise statistical properties. If there exists deviation be...

متن کامل

Spatial Spectrum Estimation with a Maneuvering Sensor Array in a Dynamic Environment

Spatial Spectrum Estimation with a Maneuvering Sensor Array in a Dynamic Environment by Jonathan L. Odom Department of Electrical and Computer Engineering Duke University

متن کامل

A Dynamic Multiple Sensor System for Radar Maneuvering Target Tracking Problems

In view of the lack dynamicity in a traditional fixed sensor system, an algorithm of tracking multiple maneuvering targets in a dynamic sensor system is proposed in this paper. The algorithm combines coordinate conversion logics and a multiple sensor data fusion for it to work in the dynamic sensor system. With the developed algorithm, the sensors can be installed in various tracking systems wh...

متن کامل

A Dynamic Controlling Scheme for a Tracking System

The surveillance area of a radar system is usually very huge and the observations are usually more than the real targets. Moreover, both non-maneuvering and maneuvering conditions are usually existed during the tracking process. The computation burden of a radar system is heavy to track multiple maneuvering targets in real time because of the complicated tracking environment. In order to reduce...

متن کامل

A Survey of Maneuvering Target Tracking: Approximation Techniques for Nonlinear Filtering

This is a part of Part VI (nonlinear filtering) of a series of papers that provide a comprehensive survey of techniques for tracking maneuvering targets without addressing the so-called measurement-origin uncertainty. Part I [52] and Part II [48] deal with target motion models. Part III [49], Part IV [50], and Part V [51] cover measurement models, maneuver detection based techniques, and multip...

متن کامل

Penalty Dynamic Programming Algorithm for Dim Targets Detection in Sensor Systems

In order to detect and track multiple maneuvering dim targets in sensor systems, an improved dynamic programming track-before-detect algorithm (DP-TBD) called penalty DP-TBD (PDP-TBD) is proposed. The performances of tracking techniques are used as a feedback to the detection part. The feedback is constructed by a penalty term in the merit function, and the penalty term is a function of the pos...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009