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The Scientific World Journal
Volume 2013, Article ID 831564, 6 pages
Research Article

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

1School of Engineering, Zhejiang Normal University, Zhejiang 321005, China
2School of Mechanical Engineering, Zhejiang University, Zhejiang 321005, China

Received 17 April 2013; Accepted 19 May 2013

Academic Editors: Y. Lu and S. Torii

Copyright © 2013 Dong-yun Wang and Chen Guan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.