2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019
DOI: 10.1109/iros40897.2019.8968144
|View full text |Cite
|
Sign up to set email alerts
|

A Dynamic Optimization Approach for Sloshing Free Transport of Liquid Filled Containers using an Industrial Robot

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
13
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 23 publications
(13 citation statements)
references
References 16 publications
0
13
0
Order By: Relevance
“…• linear mass-spring-damper model (L-MSD): the displacement of the sloshing mass was found by solving (3) and the result was introduced into ( 10) to obtain the sloshing height; • non-linear mass-spring-damper model (NL-MSD): the displacement of the sloshing mass was found by solving (7) and the result was introduced into ( 11) to obtain the sloshing height; • linear pendulum model (L-PEN): the angle described by the sloshing mass with the axis of the container was found by solving (14) and the result was introduced into ( 13) to obtain the sloshing height; • non-linear pendulum model (NL-PEN): the angle described by the sloshing mass with the axis of the container was found by solving (12) and the result was introduced into (13) to obtain the sloshing height.…”
Section: Experimental Results and Validationmentioning
confidence: 99%
See 1 more Smart Citation
“…• linear mass-spring-damper model (L-MSD): the displacement of the sloshing mass was found by solving (3) and the result was introduced into ( 10) to obtain the sloshing height; • non-linear mass-spring-damper model (NL-MSD): the displacement of the sloshing mass was found by solving (7) and the result was introduced into ( 11) to obtain the sloshing height; • linear pendulum model (L-PEN): the angle described by the sloshing mass with the axis of the container was found by solving (14) and the result was introduced into ( 13) to obtain the sloshing height; • non-linear pendulum model (NL-PEN): the angle described by the sloshing mass with the axis of the container was found by solving (12) and the result was introduced into (13) to obtain the sloshing height.…”
Section: Experimental Results and Validationmentioning
confidence: 99%
“…A general study on the last ones is also reported in [9] and [10]. Another common approach to design the optimal trajectory of a container is the solution of a constrained optimization problem, as in [11] and [12].…”
Section: Introductionmentioning
confidence: 99%
“…In the former case, the generalized coordinates describing the system are the angles defining the position of the pendulum mass, whereas in the latter they are the mass displacements from the reference position. Although being intuitive, the use of the angular coordinates of the pendulum mass to assess the sloshing behavior of the liquid (see [11,12]) lacks physical meaning, in particular when the knowledge of the liquid peak height is important. For this reason, in the spherical pendulum model used in [13], [14], and [15], the sloshing height is estimated by means of the tangent functions of the spherical coordinates.…”
Section: Introductionmentioning
confidence: 99%
“…However, the conversions of objective functions or constraint conditions into the convex optimization and sequential quadratic programming forms are complex. Reinhold et al (2019) established an optimization model by summing the regularization term of acceleration norm with time, which is solved by ACADO-Toolkit (optimization algorithm toolkit) according to a multiple shooting method and a fourth-order Runge–Kutta integrator. In summary, optimization methods are usually proposed to generate desirable trajectories for manufacturing tasks by forcing actuators to work near the edge of torque limitations and building the acceleration model as bang-bang types (Shen et al , 2019).…”
Section: Introductionmentioning
confidence: 99%