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Nonlinear flow modeling of electro hydrostatic pump unit based on Gauss Newton iterative method for high performance control.
Zhang, Tiangui; Yan, Guishan; Liu, Xianhang; Yao, Chong; Ai, Chao.
Affiliation
  • Zhang T; School of Mechanical Engineering, Yanshan University, Qinhuangdao, 066004, China.
  • Yan G; School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen, 510275, China. yangsh235@mail.sysu.edu.cn.
  • Liu X; The State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, 310000, China. yangsh235@mail.sysu.edu.cn.
  • Yao C; School of Mechanical Engineering, Yanshan University, Qinhuangdao, 066004, China.
  • Ai C; School of Mechanical Engineering, Yanshan University, Qinhuangdao, 066004, China.
Sci Rep ; 14(1): 21750, 2024 Sep 18.
Article in En | MEDLINE | ID: mdl-39294255
ABSTRACT
For the electric hydrostatic pump unit (EPU), which is a crucial component in the electro hydraulic servo pump control system (EHSPCS), nonlinear flow modelling is a key challenge to achieve high performance operation, especially in position control. For the nonlinear flow of EPUs, simple linearization combined with compensation has become a popular control method recently. However, the control performance is constrained by the reliance on deviation correction. This paper proposes utilizing the Gauss Newton iterative method to investigate the nonlinear flow modeling in the EPU, aiming to obtain the mapping relationship between the load flow and operating parameters in the EPU, thereby directly improving the control performance. A nonlinear flow model is built by utilizing the Gauss Newton iterative method based on test data obtained from various operating conditions, and the mapping relationship is presented accordingly. Experimental studies show that compared to well-established methods, this model exhibits high accuracy and practicality in improving the control performance, particularly in position control of the EPU.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom