2023
DOI: 10.1177/09544062231152339
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Decoupled adaptive terminal sliding mode control strategy for a 6-DOF electro-hydraulic suspension test rig with RBF coupling force compensator

Abstract: Aiming at the problems of poor tracking accuracy, low convergence speed, weak robustness of a 6-DOF electro-hydraulic suspension test system under system uncertainties and external disturbance, this article proposes double closed-loop control scheme. In the outer loop controller, this article designs a new decoupled adaptive fast nonsingular terminal sliding mode (DAFNTSM) control to achieve fast convergence rate, high accurate and adaptive disturbances estimation during trajectory tracking. Additionally, a co… Show more

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Cited by 4 publications
(3 citation statements)
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“…Li and Gao [22] proposed an RBFNN-optimized adaptive parameter control strategy for robotic arm control. Fu and Zhou [23] designed an adaptive SMC strategy based on RBFNN optimization for a six-degree-of-freedom electro-hydraulic servo platform, achieving multi-variable coupling control of electro-hydraulics.…”
Section: Introductionmentioning
confidence: 99%
“…Li and Gao [22] proposed an RBFNN-optimized adaptive parameter control strategy for robotic arm control. Fu and Zhou [23] designed an adaptive SMC strategy based on RBFNN optimization for a six-degree-of-freedom electro-hydraulic servo platform, achieving multi-variable coupling control of electro-hydraulics.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the conventional SMC is poor in treating the rapid variations of disturbances and is prone to causing chattering [15,16]. To retain the merits and reduce the weakness of SMC, a terminal SMC (TSMC) has been developed [17,18]. However, the conventional TSMC has a deficiency in providing lag convergence speed and singularity issues [19].…”
Section: Introductionmentioning
confidence: 99%
“…To address the above issues, the method based on inverse dynamics and a compensation strategy is used for the control of complex mechanical structures [12,13]. The ISM has been widely used for system decoupling and has achieved obvious results in model linearization [14]. In view of the influence of system coupling on control performance, an inverse dynamic model using ISM is constructed to eliminate nonlinear coupling.…”
Section: Introductionmentioning
confidence: 99%