Prescribed Performance Trajectory Tracking Control for Electro-Hydraulic Servo Pump-Controlled Systems with Input and State Delays
Electro-hydraulic servo pump-controlled systems have advantages such as energy saving and high integration and are widely applied in aerospace, engineering machinery, and other fields. However, the input and state delays introduced by drive circuit, control period, and oil leakage result in lower dynamic response speed compared to traditional valve control systems, which restricts the promotion of the system. In this paper, a prescribed performance trajectory tracking control method is proposed to improve the transient and steady-state performance of the system. A performance function is designed to constrain the range of trajectory tracking errors. The constrained space is mapped to an unconstrained space via a homeomorphic transformation, and the control laws are designed by integrating it with the backstepping method. In the final step of the backstepping design, the input and state delays are processed using Lyapunov–Krasovskii functionals. The simulation and experimental results show that under the condition of fixed input delay and state delay, the trajectory tracking errors converge within the preset range, and all states of the system are uniformly bounded. The results demonstrate the effectiveness of the proposed method in this paper.
Authors
- Gengting Qiu (ORCID: https://orcid.org/0000-0003-1566-315X)
- Gexin Chen
- Yue Hao (ORCID: https://orcid.org/0000-0002-4543-8618)
- Chen Yao (ORCID: https://orcid.org/0000-0002-9656-1448)
- Guishan Yan (ORCID: https://orcid.org/0000-0001-6565-8821)
Institutions
- Yanshan University (CN)
- Xinjiang Institute of Engineering (CN)
- Shandong Iron and Steel Group (China) (CN)
- Sinomach (China) (CN)
- Shougang (China) (CN)
Publication Details
- Journal
- Machines
- Published
- 2025-12-17
- DOI
- https://doi.org/10.3390/machines13121147
- Citations
- 1
- Primary Topic
- Hydraulic and Pneumatic Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.71