Continuous Swept-Sine Vibration Realization Combining Adaptive Sliding Mode Control and Inverse Model Compensation for Electro-hydraulic Shake Table

Yang, Heng; Cong, Dacheng; Yang, Zhidong; Han, Junwei

doi:10.1007/s42417-021-00425-4

Cited by 9 publications

(3 citation statements)

References 41 publications

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“…x 3 = θ (2) x 4 = θ (3) x 5 = θ (4) (7) Establish the state-space expression for the closed-loop system:…”

Section: Determination Of Parameters To Be Identifiedmentioning

confidence: 99%

“…have put forward ever increasingly stronger demands for high-performance hydraulic systems, which should be more reliable, precise, energy efficient, intelligent, and so on. Owing to structural and environmental factors, system parameters are easily affected, which makes it difficult to control systems and reduce the reliability of system operation [1][2][3][4]. Therefore, to avoid affecting the control performance of the servo system, multi-parameter identification of the nonlinear system is very important, and relevant personnel have made some meaningful attempts and explorations.…”

Section: Introductionmentioning

confidence: 99%

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Reverse Nonlinear Sparrow Search Algorithm Based on the Penalty Mechanism for Multi-Parameter Identification Model Method of an Electro-Hydraulic Servo System

et al. 2022

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Aiming at the multi-parameter identification problem of an electro-hydraulic servo system, a multi-parameter identification method based on a penalty mechanism reverse nonlinear sparrow search algorithm (PRN-SSA) is proposed, which transforms the identification problem of a non-linear system into an optimization problem in a high-dimensional parameter space. In the initial stage of the sparrow search algorithm (SSA), the population distribution is not uniform, and the optimization process is easily disturbed by the local optimal solution. First, adopting a reverse learning strategy increases the exploratory nature of individuals in a population, improves population diversity, and prevents premature maturity. Subsequently, a flexible strain mechanism is provided through the nonlinear convergence factor, adaptive weight factor, and golden sine and cosine factor. The introduction of a nonlinear factor fully balances the global search and local development abilities of the algorithm. Finally, a punishment processing mechanism is developed for vigilantes while retaining the population, providing a suitable search scheme for individuals beyond the boundary, and making full use of the value of each sparrow individual. The effectiveness of each improved strategy is verified through simulation experiments with 23 benchmark functions, and the improved algorithm exhibits better robustness. The results of the model parameter identification of the electro-hydraulic servo system show that the method has a high fitting accuracy between the identification model data and the experimental data, and the fitting degree of the identification model exceeds 97.54%, which further verifies the superiority of the improved algorithm and the effectiveness of the proposed identification strategy.

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“…x 3 = θ (2) x 4 = θ (3) x 5 = θ (4) (7) Establish the state-space expression for the closed-loop system:…”

Section: Determination Of Parameters To Be Identifiedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reverse Nonlinear Sparrow Search Algorithm Based on the Penalty Mechanism for Multi-Parameter Identification Model Method of an Electro-Hydraulic Servo System

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The electric shaking table is typical in the laboratory due to its small thrust and linearity; alternatively, the hydraulic shaking table is broadly utilized to conduct the full-scale seismic simulation, considering its ability to produce colossal forces. However, strong nonlinearity and uncertainty exist in the hydraulic shaking table system [7], such as servo-valve dynamics, dead zone, and friction, making it relatively tricky to design a hydraulic shaking table controller to replicate the shaking scenarios as accurately as possible [8].…”

Section: Introductionmentioning

confidence: 99%

LSTM‐based adaptive robust nonlinear controller design of a single‐axis hydraulic shaking table

Wen

Zhao

Shi

2022

IET Control Theory & Appl

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The shaking table has been used extensively in the structure test field to verify the structure's performance against various vibrations, for example earthquakes. In order to replicate the vibrations, which are measured by the acceleration signal, the model of the shaking table should be thoroughly constructed to design the controller. However, parametric uncertainty and strong nonlinearity, such as the nonlinear friction, make it an obstacle to obtaining an accurate model. A neural network-based controller, specifically a long short-term memory neural network-based neural network controller, is designed in this paper to address this issue. The nonlinear systems are estimated by the neural network's universal approximation characteristics, and a long short-term memory neural network is utilized to optimize the time-series-related errors. Furthermore, a robust sliding mode controller is utilized to compensate for the residual error of the neural network and other uncertainties. The semi-global asymptotic stability of the controller is proved by Lyapunov analysis. Comparative experimental results indicate the superiority of the proposed controller.

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A Practical Adaptive Sinusoidal Vibration Control Strategy for Electro-Hydraulic Shake Table

Yang

Cong

Yang

et al. 2022

J. Vib. Eng. Technol.

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Continuous Swept-Sine Vibration Realization Combining Adaptive Sliding Mode Control and Inverse Model Compensation for Electro-hydraulic Shake Table

Cited by 9 publications

References 41 publications

Reverse Nonlinear Sparrow Search Algorithm Based on the Penalty Mechanism for Multi-Parameter Identification Model Method of an Electro-Hydraulic Servo System

Reverse Nonlinear Sparrow Search Algorithm Based on the Penalty Mechanism for Multi-Parameter Identification Model Method of an Electro-Hydraulic Servo System

LSTM‐based adaptive robust nonlinear controller design of a single‐axis hydraulic shaking table

A Practical Adaptive Sinusoidal Vibration Control Strategy for Electro-Hydraulic Shake Table

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