Trajectory tracking considering model uncertainty with interconnection and damping assignment passivity-based control for electro-hydraulic servo systems

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2025-03-06 DOI:10.1016/j.matcom.2025.02.027
Junjie Gong , Jian Chen , Dengsheng Cai , Haibo Xie , Wei Wei , Yu Long
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Abstract

In this paper, a novel dual closed-loop control framework is proposed for trajectory tracking of electro-hydraulic servo systems, utilizing interconnection and damping assignment passivity-based control alongside a finite-time extended state observer. First, a finite-time approach, coupled with an extended state observer, is employed to estimate system model uncertainties and stochastic disturbances, achieving fast finite-time uniformly ultimately bounded stability of observation errors. Second, the nonlinear state–space model is converted into a port-controlled Hamiltonian system with disturbances. Energy shaping and damping injection methods are then applied to transform the port-controlled Hamiltonian model into the desired closed-loop system. Subsequently, the cascade characteristics of the electro-hydraulic servo system are leveraged to establish virtual inputs, facilitating the development of a dual closed-loop interconnection and damping assignment passivity-based controller. The inner-loop controller utilizes spool displacement as an input to mitigate the effects of external disturbances and enhance single-loop control performance, thereby increasing robustness against model uncertainties and external disturbances. Finally, numerical simulations validate the effectiveness and performance of the proposed control strategy in the context of trajectory tracking control for the electro-hydraulic servo system. Compared with FLSMC-MPC and Backstepping-MPC, the proposed controller improve the tracking accuracy by 61.6% and 12.4%, and the velocity tracking performance by 75.7% and 34.2%, respectively.
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Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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