Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization

Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization

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 intr...

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Main Authors: Dong-yun Wang, Chen Guan
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/831564
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spelling doaj-2993e7a573ba4abca2368ff45b1dae392020-11-24T22:08:23ZengHindawi LimitedThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/831564831564Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm OptimizationDong-yun Wang0Chen Guan1School of Engineering, Zhejiang Normal University, Zhejiang 321005, ChinaSchool of Mechanical Engineering, Zhejiang University, Zhejiang 321005, ChinaOptimal 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.http://dx.doi.org/10.1155/2013/831564
collection DOAJ
language English
format Article
sources DOAJ
author Dong-yun Wang
Chen Guan
spellingShingle Dong-yun Wang
Chen Guan
Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization
The Scientific World Journal
author_facet Dong-yun Wang
Chen Guan
author_sort Dong-yun Wang
title Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization
title_short Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization
title_full Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization
title_fullStr Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization
title_full_unstemmed Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization
title_sort optimal control for a parallel hybrid hydraulic excavator using particle swarm optimization
publisher Hindawi Limited
series The Scientific World Journal
issn 1537-744X
publishDate 2013-01-01
description 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.
url http://dx.doi.org/10.1155/2013/831564
work_keys_str_mv AT dongyunwang optimalcontrolforaparallelhybridhydraulicexcavatorusingparticleswarmoptimization
AT chenguan optimalcontrolforaparallelhybridhydraulicexcavatorusingparticleswarmoptimization
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