Work

Prescribed performance-based adaptive dynamic surface control for pump-controlled hydraulic systems with matched and mismatched disturbances

Year: 2025

Type: article

Abstract: Uncertainties, including parametric and unstructured uncertainty, are the main obstacles for hydraulic systems to achieve high precision control. This paper investigates the asymptotic tracking problem of a pump-controlled hydraulic system subject to parametric uncertainties and matched and mismatched time-varying disturbances. First, a predefined performance function is introduced into the controller design to guarantee transient and final tracking accuracy. Then, a continuous differentiable friction model is utilized for feedforward compensation, reducing the designed conservativeness and improving the tracking performance. Moreover, robust terms suppress mismatched and matched disturbances and guarantee asymptotic stability. Adaptive dynamic surface control (ADSC) with nonlinear filters is adopted to reduce the burden of online calculation and improve control accuracy. As a result, a prescribed performance-based adaptive dynamic surface controller is proposed to achieve asymptotic tracking of a pump-controlled hydraulic system. The proposed control strategy is numerically verified and experimentally validated.

Source: Alexandria Engineering Journal

DOI: 10.1016/j.aej.2025.03.117

Authors: Qian-Kun Liang, Yan Cai, Bing-Long Wang, Jin-Chun Song

Institutions: Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, Northeastern University

Language: English

Topic: Hydraulic and Pneumatic Systems

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,900

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities