Parameter Identification of Roll Motion Equation of Ship in Regular Wave Using Opposition Based Learning Gaussian Bare Bone Imperialist Competition Algorithm

2021 ◽  
Author(s):  
Dongge Lei ◽  
Ting You ◽  
Lulu Cai
Keyword(s):  
Parameter Identification ◽  
Motion Equation ◽  
Roll Motion ◽  
Regular Wave ◽  
Opposition Based Learning ◽  
Bare Bone

scholarly journals On the Identification of Coupled Pitch and Heave Motions Using Opposition-Based Particle Swarm Optimization

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yuntao Dai ◽  
Liqiang Liu ◽  
Shanshan Feng
Keyword(s):  
Particle Swarm Optimization ◽  
Parameter Identification ◽  
Learning Algorithm ◽  
Particle Swarm ◽  
Identification System ◽  
Identification Algorithm ◽  
Swarm Optimization ◽  
Disturbing Force ◽  
Hydrodynamic Parameters ◽  
Opposition Based Learning

A mathematical model must be established to study the motions of ships in order to control them effectively. An assessment of the model depends on the accuracy of hydrodynamic parameters. An algorithm for the parameter identification of the coupled pitch and heave motions in ships is, thus, put forward in this paper. The algorithm proposed is based on particle swarm optimization (PSO) and the opposition-based learning theory known as opposition-based particle swarm optimization (OPSO). A definition of the opposition-based learning algorithm is given first of all, with ideas on how to improve this algorithm and its process being presented next. Secondly, the design of the parameter identification algorithm is put forward, modeling the disturbing force and disturbing moment of the identification system and the output parameters of the identification system. Then, the problem involving the hydrodynamic parameters of motions is identified and the coupled pitch and heave motions of a ship described as an optimization problem with constraints. Finally, the numerical simulations of different sea conditions with unknown parameters are carried out using the PSO and OPSO algorithms. The simulation results show that the OPSO algorithm is relatively stable in terms of the hydrodynamic parameters identification of the coupled pitch and heave motions.

Roll Stability Indicator Incorporating Roll Center Movement

2007 ◽  
Author(s):  
Jongchul Jung ◽  
Taehyun Shim ◽  
Jamie Gertsch
Keyword(s):  
Parameter Identification ◽  
Threshold Value ◽  
Vertical Movement ◽  
Roll Angle ◽  
Roll Motion ◽  
Identification Algorithm ◽  
Simple Task ◽  
Rollover Prevention ◽  
Vehicle Rollover ◽  
Robust Parameter

Predicting impending vehicle rollover is essential for rollover prevention systems but it is not a simple task. In describing roll motion, the roll center movement becomes important as the vehicle roll angle increases, and thus affects the performance of rollover warning devices. This paper proposes a dynamic roll stability indicator incorporating roll center movement. A robust parameter identification algorithm is designed to estimate the horizontal and vertical movement of the roll center. This estimate is used in the roll stability indicator to update its rollover threshold value. The effectiveness of the proposed roll stability indicator is demonstrated through simulations.

DESIGN OF SURGE AND ROLL MOTION CONTROL SYSTEM OF ITSUNUSA AUV USING PID CONTROLLER

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 139
Author(s):  
Teguh Herlambang ◽  
Subchan Subchan
Keyword(s):  
Control System ◽  
Motion Control ◽  
Pid Control ◽  
Pid Controller ◽  
Autonomous Underwater Vehicle ◽  
Motion Equation ◽  
Roll Motion ◽  
Proportional Integral Derivative ◽  
Motion Control System ◽  
Nonlinear Motion

ABSTRACT This paper is about designing motion control system with 2-DOF motion equation to be applied to an Autonomous Underwater Vehicle (AUV) system. The 2-DOF motion equation which consists of surge and roll motion in the form of equations of nonlinear motion. The control system design applied to the ITSUNUSA AUV system uses the Proportional Integral Derivative (PID) method. The simulation results of the PID control system with the motion equation with 2-DOF on the ITSUNUSA AUV system show that the system proves to be stable at a predetermined set-point with an error of 0.01% for surge motion and that with an error of 4.2% for roll motion.  Keywords: AUV, motion control, PID

Fusing Multiple Strategies in Population-Based Optimization Algorithm

2015 ◽  
Vol 764-765 ◽  
pp. 1407-1411
Author(s):  
Chang Huang Chen
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Population Based ◽  
Solution Quality ◽  
Swarm Optimization ◽  
Bone Particle ◽  
Opposition Based Learning ◽  
General Optimization Problem ◽  
Population Based Algorithm ◽  
Bare Bone

A multi-strategy based population optimization, referred to MSPO, is proposed in this paper. The algorithm is developed by hybridizing four different population-based algorithms, bare bone particle swarm optimization, quantum-behaved particle swarm optimization, differential evolution and opposition-based learning. It aims at enhancing the exploration and exploitation capability of population based algorithm for general optimization problem. These four options are randomly selected with equal probability during the search process. The proposed algorithm is validated against test functions and then compares its performance with those of particle swarm optimization and bare bone particle swarm optimization. Numerical results show that the performance is increased greatly both in solution quality and convergent speed.

On the effectiveness of constant coefficients roll motion equation

1996 ◽  
Vol 23 (7) ◽  
pp. 597-618 ◽  
Author(s):  
Giorgio Contento ◽  
Alberto Francescutto ◽  
Maurizio Piciullo
Keyword(s):  
Motion Equation ◽  
Roll Motion ◽  
Constant Coefficients
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