Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm

Zheng, Xinyu; Su, Xiaoyu

doi:10.3390/machines9110283

Cited by 12 publications

(6 citation statements)

References 16 publications

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“…e dynamic model of the motor servo system is described as follows [46][47][48]: It can be seen from equation (33) that the estimated parameter can be written as θ 1 � (g 2 /J), θ 2 � (g 1 /J), θ 3 � (K c /J), and θ 4 � (b/J). e controller is chosen as PID, in which the parameters are k p � 320, k i � 2.8, k d � 6.1. e parameter estimation results using the developed scheme, WMISG, MGRA, and RLS-MI are shown in Figure 9.…”

Section: Experimentmentioning

confidence: 99%

Parameter Identification with a New Recursive Framework for Wiener–Hammerstein-Like System and Its Application

Liang

Zhang

et al. 2022

Mathematical Problems in Engineering

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In the process of actual system modeling, many systems exhibit nonlinear characteristics with memory. Thus, the parameter identification problem of the nonlinear system with memory usually appears in the system modeling. This report focuses on the nonlinear system identification of Wiener–Hammerstein-like model with memory hysteresis, in which a new recursive estimation way is introduced. In this algorithm, the estimation bias problem can be improved by introducing a data filtering technique. On the basis of the filtered data, some auxiliary matrices and vectors are proposed. Following this, the identification error variable is introduced by using auxiliary matrices and vectors with an adaptive forgetting factor. Afterward, the identification error variable is integrated into the design of parameter estimation adaptive law with recursive gain structure. By comparison with the classic estimation methods, the proposed algorithm shows an alternative identification algorithm design angle. In addition, it is strictly proved that the parameter estimation error converges to zero under a general excitation condition. Based on the results of indices M S E , compared with the existing methods, the performance improvements of the proposed method are 33.9 %, 41.26%, and 53.5%, respectively. In terms of indices P E M , the augmented performances of the developed scheme are 50%, 56.2%, and 68.4%, respectively, in comparison to the available schemes.

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Section: Experimentmentioning

confidence: 99%

Parameter Identification with a New Recursive Framework for Wiener–Hammerstein-Like System and Its Application

Liang

Zhang

et al. 2022

Mathematical Problems in Engineering

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“…As one of the common nonlinear control methods, sliding-mode control, which uses discontinuous control to guide the system state onto a specific sliding-mode surface, has higher applicability in electro-hydraulic servo systems due to its better performance in terms of robustness, response speed, control accuracy, and nonlinear control capability. 11,12 A prescribed performance constraint control method was adopted in electro-hydraulic systems to restrict the tracking position error of the cylinder position to a prescribed accuracy and guaranteed the dynamic and steady position response in a required boundedness under these uncertain nonlinearities. 13 Han et al 14 presented an adaptive sliding-mode controller based on a hydraulic pressure estimator to track desired hydraulic pressure for sensorless electro-hydraulic brake systems.…”

Section: Introductionmentioning

confidence: 99%

Sliding-mode control of electro-hydraulic positioning tracking system combining K-observer and nonlinear disturbance observer

Gao,

Shen,

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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High-precision position control of hydraulic systems is of great significance in industrial applications. However, unknown external force disturbance, measurement noise, and other uncertain nonlinearities widely exist in electro-hydraulic servo systems, which severely degrade the system performance. To handle this problem, a sliding-mode controller based on K-observer with nonlinear disturbance observer is proposed for electro-hydraulic position systems in this article. The nonlinear disturbance observer is to estimate and eliminate the time-varying external force disturbance. The sliding-mode controller based on K-observer is to reach low gain observation of states and improve the system performance by reducing the chattering of the sliding-mode algorithm. The proposed controller is proved to be stable by the Lyapunov stability criterion. Comparative experiments support that the controller has high precision and strong robustness.

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“…In comparison, PID control algorithms are widely used in electro-hydraulic servo system control. With the development of artificial intelligence science, the combination of artificial intelligence algorithms [ 31 , 32 , 33 ] and PID control algorithms has become the mainstream trend and Hao et al [ 34 ] proposed an improved particle swarm optimization for the trajectory tracking accuracy problem to optimize the proportional-integral differential (PID) controller coefficients of the PSO algorithm, which obtained high accuracy and fast convergence of the electro-hydraulic servo system; nevertheless, the problem of system lag and slow response exists. Fan [ 35 ] and Ma et al [ 36 ] improved the control performance by improving the objective evaluation function of the PSO algorithm, but the proposed objective evaluation function is too simple for the system performance index requirements, which may be ineffective or inefficient for processing complex signals, and has not been validated and tested in various situations.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Hybrid Test Control Research Based on Improved Electro-Hydraulic Servo Displacement Algorithm

Shen

Guo

Zha

et al. 2023

Sensors

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Real-time hybrid testing (RTH) is a test method for dynamic loading performance evaluation of structures, which is divided into digital simulation and physical testing, but the integration of the two may lead to problems such as time lag, large errors, and slow response time. The electro-hydraulic servo displacement system, as the transmission system of the physical test structure, directly affects the operational performance of RTH. Improving the performance of the electro-hydraulic servo displacement control system has become the key to solving the problem of RTH. In this paper, the FF-PSO-PID algorithm is proposed to control the electro-hydraulic servo system in real-time hybrid testing (RTH), which uses the PSO algorithm to operate the optimized PID parameters and the feed-forward compensation algorithm to compensate the displacement. First, the mathematical model of the electro-hydraulic displacement servo system in RTH is presented and the actual parameters are determined. Then, the objective evaluation function of the PSO algorithm is proposed to optimize the PID parameters in the context of RTH operation, and a displacement feed-forward compensation algorithm is added for theoretical study. To verify the effectiveness of the method, joint simulations were performed in Matlab/Simulink to compare and test FF-PSO-PID, PSO-PID, and conventional PID (PID) under different input signals. The results show that the proposed FF-PSO-PID algorithm effectively improves the accuracy and response speed of the electro-hydraulic servo displacement system and solves the problems of RTH time lag, large error, and slow response.

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Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm

Cited by 12 publications

References 16 publications

Parameter Identification with a New Recursive Framework for Wiener–Hammerstein-Like System and Its Application

Parameter Identification with a New Recursive Framework for Wiener–Hammerstein-Like System and Its Application

Sliding-mode control of electro-hydraulic positioning tracking system combining K-observer and nonlinear disturbance observer

Real-Time Hybrid Test Control Research Based on Improved Electro-Hydraulic Servo Displacement Algorithm

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