4.7 Article

An integral terminal sliding mode control scheme for speed control system using a double-variable hydraulic transformer

期刊

ISA TRANSACTIONS
卷 124, 期 -, 页码 386-394

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2019.08.068

关键词

Double-variable hydraulic transformer; Sliding mode control; RBF neural network; Fuzzy system

资金

  1. National Nat-ural Science Foundation of China [51975376]
  2. Natural Science Foundation of Shanghai, China [19ZR1435400]
  3. Open Founda-tion of the State Key Laboratory of Fluid Power and Mechatronic Systems, China [GZKF-201708]

向作者/读者索取更多资源

This paper proposes a new type of double-variable hydraulic transformer (DVHT) and addresses the control issue in the Common Pressure Rail (CPR) system. By adjusting the displacement, DVHT can achieve pressure regulation while maintaining cylinder speed in the high-efficiency area. A new control strategy is designed for the two control variables, and an adaptive integral terminal sliding mode controller is proposed to ensure system robustness. Simulation results demonstrate the feasibility of DVHT and show that the control method can achieve multitasking control and effectively improve control effectiveness.
In recent years, with the aggravation of energy crisis and environmental pollution, the Common Pressure Rail (CPR) system with great energy saving potential has become a research hotspot in the hydraulic research area. However, as the key component of CPR system, hydraulic transformers have the problems of low efficiency and poor control effect, which limit its practical application. The main contribution of the paper is to propose a new type of double-variable hydraulic transformer (DVHT) and address the control issue. As the displacement is adjustable, DVHT can achieve pressure regulation while maintaining the cylinder speed in the high-efficiency area. According to the system characteristics, a new control strategy is designed for the two control variables, and an adaptive integral terminal sliding mode controller is proposed to guarantee the robustness of the system. The simulation results prove the feasibility of the DVHT and show that the control method can achieve multitasking control and effectively improve the control effect. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.

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