Positioning and control of boom crane luffing with double-pendulum payloads

Author(s):  
Ehsan Maleki ◽  
William Singhose ◽  
Sriram Srinivasan
Author(s):  
Maren Eriksen Eia ◽  
Elise Mari Vigre ◽  
Thorstein Ravneberg Rykkje

Abstract A Knuckle Boom Crane is a pedestal-mounted, slew-bearing crane with a joint in the middle of the distal arm; i.e. boom. This distal boom articulates at the ‘knuckle (i.e.: joint)’ and that allows it to fold back like a finger. This is an ideal configuration for a crane on a ship where storage space is a premium. This project researches the motion and control of a ship mounted knuckle boom crane to minimize the pendulum motion of a hanging load. To do this, the project leverages the Moving Frame Method (MFM). The MFM draws upon Lie group theory — SO(3) and SE(3) — and Cartan’s Moving Frames. This, together with a compact notation from geometrical physics, makes it possible to extract the equations of motion, expeditiously. The work reported here accounts for the masses and geometry of all components, interactive motor couples and prepares for buoyancy forces and added mass on the ship. The equations of motion are solved numerically using a 4th order Runge Kutta (RK4), while solving for the rotation matrix for the ship using the Cayley-Hamilton theorem and Rodriguez’s formula for each timestep. This work displays the motion on 3D web pages, viewable on mobile devices.


2012 ◽  
Vol 232 ◽  
pp. 527-531 ◽  
Author(s):  
L. Ángel ◽  
M.P. Pérez ◽  
C. Díaz-Quintero ◽  
C. Mendoza

In this paper a dynamic simulation methodology of systems is presented by using ADAMS/MATLAB co-simulation. This methodology allows simulation, development and validation of different control strategiesfor robotic manipulator models in a fast way. It provides a first stage into the design of robotic prototypes for researchers and professionals. Finally, the methodology was validated by constructing a simulation model of a double pendulum and by implementing a PD type control strategy.


Author(s):  
Angelo Marcelo Tusset ◽  
José Manoel Balthazar ◽  
Clivaldo Oliveira ◽  
Marcus Varanis ◽  
Vinicius Piccirillo

2014 ◽  
Vol 15 (8) ◽  
pp. 1675-1680 ◽  
Author(s):  
Jae-Young Lee ◽  
Abdul Manan Khan ◽  
Hye-Youn Jang ◽  
Jung-Soo Han ◽  
Chang-Soo Han

Author(s):  
Joe Hays ◽  
Dennis Hong ◽  
Corina Sandu ◽  
Adrian Sandu

This work presents a systematic approach to the optimal co-design of a multibody dynamical system’s mechanics and control. The formulation presented is based on a simple double pendulum system, thus allowing a focused illustration of the co-design methodology. However, the ultimate goal is to apply this co-design methodology to the design of a novel Self-excited Tripedal Dynamic Experimental Robot, STriDER. One of STriDER’s design challenges is to determine its mechanical properties and control inputs that minimize the amount of externally supplied actuation energy required to take a single step. Past STriDER prototypes have successfully taken highly efficient dynamic steps, however, these former prototypes required significant manual ‘tweaking’ of its mechanical parameters to realize these steps. Additionally, STriDER’s optimal joint trajectories and actuation inputs have not been outputs of the previous design process. This work provides the first systematic process for the optimal co-design of a controlled multibody dynamic system such as STriDER.


Author(s):  
Michele Ambrosino ◽  
Marc Berneman ◽  
Gianluca Carbone ◽  
Rémi Crépin ◽  
Arnaud Dawans ◽  
...  

Author(s):  
Ehsan Maleki ◽  
William Singhose

Cranes are vital to many manufacturing and material-handling processes. However, their physical structure leads to flexible dynamic effects that limit their usefulness. Large payload swings induced by either intentional crane motions or external disturbances decrease positioning accuracy and can create hazardous situations. Boom cranes are one of the most dynamically complicated types of cranes. Boom cranes cannot transfer the payload in a straight line by actuating only one axis of motion because they have rotational joints. This paper presents a nonlinear model of a boom crane. A large range of possible motions is analyzed to investigate the dynamic behavior of the crane when it responds to operator commands. A command-shaping control technique is implemented, and its effectiveness on this nonlinear machine is analyzed. Experimental results verify key theoretical predictions.


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