Neural network‐based output synchronization control for multi‐actuator system

Wang, Yunfei; Ding, Haigang; Zhao, Jun; Li, Ran

doi:10.1002/acs.3391

Cited by 5 publications

(1 citation statement)

References 37 publications

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“…In order to improve the precision, stability, and robustness of cooperative control, a number of researchers have proposed different methods by combining modern control methods with existing control strategies. 18 In literatures 19,20 the author presents sliding mode control, but there is sliding mode jitter; Literature 21 proposes adaptive neural network. However, there is a contradiction between control accuracy and parameter estimation; Literature 22 presents active disturbance rejection control, but there are many parameter tuning; Literature 23 proposes iterative learning control, but there is a problem with initial state selection; Literature 24 uses the fuzzy control algorithm to adjust the motor torque given value in real-time to improve the synchronization performance, but due to the simple fuzzy processing method, the useful information of the system is lost, and the dynamic tracking ability is very weak; Literature 25 proposes a variable domain fuzzy PID control based on a master-slave control structure.…”

Section: Introductionmentioning

confidence: 99%

Research on self-coupling PID for multi-driven synchronization control with ring adjacent compensation

Liu,

Song,

et al. 2023

Measurement and Control

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Multi-motor synchronous drive system is increasingly widely used in industry and manufacturing, where its control structure and control strategy affect the quality and efficiency of production. In order to solve the contradiction between fastness and overshoot, and the difficulty in determining the compensation law in the conventional PID, cross-coupling control, and master-slave control strategies used in multi-motor control, this paper proposes a self-coupling PID control strategy based on ring adjacent compensation to reduce the complexity of the control structure. Furthermore, this paper analyzes the self-coupling PID parameter tuning rules and establishes the control structure of the ring coupling strategy, and proves its validity mathematically. The simulation results verify that the proposed strategy provides a fast response speed, high control precision, good disturbance rejection, and synchronization performance.

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Section: Introductionmentioning

confidence: 99%

Research on self-coupling PID for multi-driven synchronization control with ring adjacent compensation

Liu,

Song,

et al. 2023

Measurement and Control

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Parameter adaptive based neural network sliding mode control for electro‐hydraulic system with application to rock drilling jumbo

Guo,

Wang,

Liu

2024

Adaptive Control & Signal

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SummaryRock drilling jumbo is an important large construction machine used for tunneling construction, and its automation has an urgent demand in engineering. However, the electro‐hydraulic system of the rock drilling jumbo has strong parameters uncertainties and some dynamics that are hard to model accurately, which causes certain challenges for designing model‐based high‐performance control algorithms. To solve these challenges, a parameter adaptive based neural network sliding mode control algorithm is proposed to enhance control performance of the electro‐hydraulic system. The parameter adaptive law is developed to estimate unknown parameters of the system, the neural network is applied for compensating unmodeled dynamics, and then the final control law is designed by sliding mode control method, and the stability demonstration of the closed‐loop system is given. In the simulations, the effectiveness of the designed parameter adaptive law is verified. Extensive comparison experiments are performed on a real rock drilling jumbo driven by proportional valves, the experimental results demonstrate that the developed control algorithm obviously improves the control precision of hydraulic cylinder of the rock drilling jumbo compared with the traditional sliding mode and PID control algorithm, thus the designed control algorithm can be expanded and applied for general hydraulic servo control mechanism.

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Synchronization analyze of k-uniform hyper-networks

Du,

Ma,

et al. 2024

Sci Rep

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Hyper-networks tend to perform better in representing multivariate relationships among nodes. Yet, due to the complexity of the hyper-network structure, research in synchronization dynamics is rarely involved. In this paper, a Kuramoto model more suitable for k-uniform hyper-networks is proposed. And the generalized Laplacian matrix expression of the k-uniform hyper-network is present. We use the eigenvalue ratio of the generalized Laplacian matrix to quantify synchronization. And we studied the effects of some important structure parameters on the synchronization of three types of k-uniform hyper-networks. And obtained different relationships between synchronization and these parameters. The results show the synchronization of the k-uniform hyper-networks is related to both structure and parameters. And as the size of the nodes increases, the synchronization ability gradually increases for ER random hyper-network, while that gradually decreases for NW small-world hyper-network and BA scale-free hyper-network. As the uniformity increases, the synchronization ability of all three types of uniform hyper-networks increases. In addition, when the structure and node size are fixed, the synchronization ability increases with the increase of the hyper-clustering coefficient in BA scale-free hyper-network and ER random hyper-network, while it decreases with the increase of the hyper-clustering coefficient in NW small-world hyper-network.

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Neural network‐based output synchronization control for multi‐actuator system

Cited by 5 publications

References 37 publications

Research on self-coupling PID for multi-driven synchronization control with ring adjacent compensation

Research on self-coupling PID for multi-driven synchronization control with ring adjacent compensation

Parameter adaptive based neural network sliding mode control for electro‐hydraulic system with application to rock drilling jumbo

Synchronization analyze of k-uniform hyper-networks

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