Journal article
Human lifting simulation using a multi-objective optimization approach
Multibody System Dynamics, Vol.23(4), pp.431-451
04/2010
DOI: 10.1007/s11044-009-9186-y
Abstract
This paper presents a multiobjective optimization (MOO) approach to predicting dynamic lifting for a three-dimensional, highly redundant digital human model with 55 degrees of freedom. The optimization problem is formulated to optimize two objective functions simultaneously—dynamic effort and stability—subject to basic physical and kinematical constraints. The predictive dynamics approach is used to solve for the joint angles, torque profiles, and ground reaction forces. The weighted sum approach of MOO is used to aggregate the two objective functions, and the Pareto optimal set for the problem is generated by systematically varying the weighting parameters for the objective functions. Experimental data are used to validate the final simulation. Several examples are presented to demonstrate the effect of the weighting parameters for the two objective functions on the predicted box-lifting strategies. The results show that the proposed MOO approach improves the simulation results compared to the single objective optimization formulation. Also, the formulation is less sensitive to the weighting coefficient for the stability criterion.
Details
- Title: Subtitle
- Human lifting simulation using a multi-objective optimization approach
- Creators
- Yujiang Xiang - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design (CCAD), College of Engineering The University of Iowa Iowa City IA 52242 USAJasbir Arora - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design (CCAD), College of Engineering The University of Iowa Iowa City IA 52242 USASalam Rahmatalla - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design (CCAD), College of Engineering The University of Iowa Iowa City IA 52242 USATimothy Marler - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design (CCAD), College of Engineering The University of Iowa Iowa City IA 52242 USARajankumar Bhatt - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design (CCAD), College of Engineering The University of Iowa Iowa City IA 52242 USAKarim Abdel-Malek - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design (CCAD), College of Engineering The University of Iowa Iowa City IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- Multibody System Dynamics, Vol.23(4), pp.431-451
- DOI
- 10.1007/s11044-009-9186-y
- ISSN
- 1384-5640
- eISSN
- 1573-272X
- Publisher
- Springer Netherlands; Dordrecht
- Language
- English
- Date published
- 04/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Civil and Environmental Engineering; Iowa Technology Institute; Injury Prevention Research Center; Mechanical Engineering
- Record Identifier
- 9983992049002771
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