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Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-02
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Optimal control using particle swarm optimization (PSO) is put forward in a parallel hybrid hydraulic excavator (PHHE).
A power-train mathematical model of PHHE is illustrated along with the analysis of components’ parameters.
Then, the optimal control problem is addressed, and PSO algorithm is introduced to deal with this nonlinear optimal problem which contains lots of inequality/equality constraints.
Then, the comparisons between the optimal control and rule-based one are made, and the results show that hybrids with the optimal control would increase fuel economy.
Although PSO algorithm is off-line optimization, still it would bring performance benchmark for PHHE and also help have a deep insight into hybrid excavators.
American Psychological Association (APA)
Wang, Dong-yun& Guan, Cheng. 2013. Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1012964
Modern Language Association (MLA)
Wang, Dong-yun& Guan, Cheng. Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization. The Scientific World Journal No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1012964
American Medical Association (AMA)
Wang, Dong-yun& Guan, Cheng. Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1012964
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1012964