Warm-started semionline trajectory planner for ship’s automatic docking (berthing)

نویسندگان

چکیده

In the usual framework of control, a reference trajectory is needed as set point for feedback controller. This can be generated by solving optimization problem. problem continuous optimal control (OCP) that transcribed into finite-dimensional nonlinear (NLP) and solved SQP. For an underactuated conventional vessel, mathematical model very intricate, hence NLP itself. causes significant computational time. article demonstrates balance between feasibility time achieved vessel in disturbed restricted environment. done by: (1) using almost-globally offline solution warm start semionline to speed up calculation, (2) including prediction wind dynamics, (3) representing ship rigid body predefined boundary generate necessary spatial constraints via point-in-polygon method ensure collision-free nonconvex region. Incorporation these three things maintains safe dynamically feasible where gives considerable speedup better results than without start.

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Warm-started wavefront reconstruction for adaptive optics.

Future extreme adaptive optics (ExAO) systems have been suggested with up to 10(5) sensors and actuators. We analyze the computational speed of iterative reconstruction algorithms for such large systems. We compare a total of 15 different scalable methods, including multigrid, preconditioned conjugate-gradient, and several new variants of these. Simulations on a 128x128 square sensor/actuator g...

متن کامل

Consistently Trained Artificial Neural Network for Automatic Ship Berthing Control

In this paper, consistently trained Artificial Neural Network controller for automatic ship berthing is discussed. Minimum time course changing manoeuvre is utilised to ensure such consistency and a new concept named ‘virtual window’ is introduced. Such consistent teaching data are then used to train two separate multi‐layered feed forward neural networks for com...

متن کامل

Multi-objective Genetic Manipulator Trajectory Planner

This paper proposes a multi-objective genetic algorithm to optimize a manipulator trajectory. The planner has several objectives namely the minimization of the space and join arm displacements and the energy required in the trajectory, without colliding with any obstacles in the workspace. Simulations results are presented for robots with two and three degrees of freedom, considering the optimi...

متن کامل

Genetic Trajectory Planner for a Manipulator with Acceleration Parametrization

This paper presents a genetic trajectory planning method of a robot manipulator producing the optimal trajectory between two end points. Genetic algorithm based methods seldom require a priori knowledge of a problem. Furthermore, they do not tend to fall into local optima and proceed toward the global optimum. However, they have di culty in handling equality constraints of trajectory boundary c...

متن کامل

An Improved Trajectory Planner for Redundant Manipulators in Constrained Workspace

This article studies the trajectory planning of redundant robots performing tasks within an enclosed workspace. Configuration control of kinematically redundant manipulators using the pseudo-inverse with null-space projection method is a wellknown scheme. One advantage of this method is that the gradient of an objective function can be included in the homogeneous term to optimize the objective ...

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

ژورنال

عنوان ژورنال: Ocean Engineering

سال: 2022

ISSN: ['1873-5258', '0029-8018']

DOI: https://doi.org/10.1016/j.oceaneng.2022.111127