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The Scientific World Journal
Volume 2013, Article ID 831564, 6 pages
http://dx.doi.org/10.1155/2013/831564
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.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • M. J. Mahmoodabadi, M. Taherkhorsandi, and A. Bagheri, “Pareto Design of State Feedback Tracking Control of a Biped Robot via Multiobjective PSO in Comparison with Sigma Method and Genetic Algorithms: Modified NSGAII and MATLAB’s Toolbox,” The Scientific World Journal, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Qi-huai Chen, Qing-feng Wang, and Tao Wang, “Optimization design of an interior permanent-magnet synchronous machine for a hybrid hydraulic excavator,” Frontiers Of Information Technology & Electronic Engineering, vol. 16, no. 11, pp. 957–968, 2015. View at Publisher · View at Google Scholar
  • Peien Feng, Bei Peng, Yu Gao, and Qingying Qiu, “Stage-based power matching control of hydraulic excavator,” Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, vol. 38, no. 9, pp. 1461–1469, 2017. View at Publisher · View at Google Scholar
  • Yang Song, Dongyun Wang, Hualing Ren, Jiancheng Cai, and Baode Jing, “Research on hydraulic pump displacement control using PI and feed-forward compensation,” Advances in Mechanical Engineering, vol. 9, no. 12, pp. 168781401774408, 2017. View at Publisher · View at Google Scholar