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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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/831564 |
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| _version_ | 1832552279870275584 |
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| author | Dong-yun Wang Chen Guan |
| author_facet | Dong-yun Wang Chen Guan |
| author_sort | Dong-yun Wang |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-2993e7a573ba4abca2368ff45b1dae39 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-2993e7a573ba4abca2368ff45b1dae392025-02-03T05:58:58ZengWileyThe 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 |
| spellingShingle | Dong-yun Wang Chen Guan Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization The Scientific World Journal |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2013/831564 |
| work_keys_str_mv | AT dongyunwang optimalcontrolforaparallelhybridhydraulicexcavatorusingparticleswarmoptimization AT chenguan optimalcontrolforaparallelhybridhydraulicexcavatorusingparticleswarmoptimization |