Research on Electro-hydraulic Servo System of Air Rudder on Model Reference Adaptive Control

Liu, Chunqing; Jiang, Ye; Zhongzhe, Zhang; Deng, Tao; Yu, Dan; Gao, Jian

doi:10.1088/1742-6596/1650/2/022001

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…Guo et al proposed an adaptive dynamic friction compensation control for an electrohydraulic servo system based on a nonlinear observer, which could continuously modify the dynamic friction parameters of the servo system, compensate for friction through an online adaptive rate, and improve low-speed performance [16]. Liu et al designed a Popov-MRAC (model reference adaptive control) system to realize a position servo system model and a parameter variable dual-input single-output system with good following characteristics, accuracy, and robustness [17]. Hayama et al solved the effect of a pullback pressure control system on the responses of electro-hydraulic clearance control by pressurizing the counter-load side of the cylinder to increase the load force, obtaining compensation of the controller [18].…”

Section: Introductionmentioning

confidence: 99%

Clearance Nonlinear Control Method of Electro-Hydraulic Servo System Based on Hopfield Neural Network

Wang,

Song

2024

Machines

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The electro-hydraulic servo system has advantages such as high pressure, large flow, and high power, etc., which can also realize stepless regulation, so it is widely used in many engineering machineries. A linear model is sometimes only a simple approximation of an idealized model, but in an actual system, there may be nonlinear and transient variation characteristics in the systems. Coupling is reflected in the fact that the components or functional structures implemented by each system used for the design of hydraulic systems are not completely or independently related to each other, but affect each other. The nonlinear clearance between the actuator and the load reduces the control accuracy of the system and increases the impact, thus losing stable working conditions. In the paper, based on the nonlinear clearance problem of the electro-hydraulic servo system, a mathematical transfer model with clearance is established, and on this basis, a clearance compensation method based on the Hopfield neural network is proposed. In this way, clearance compensation can be realized by adjusting the parameters of neural network nodes, through simple and convenient operation. Finally, by setting different clearance values, the results of the step response and sine response curve before and after clearance compensation of the hydraulic system are compared, and the effectiveness of Hopfield neural network compensation clearance control is verified based on the comparison simulation results.

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Section: Introductionmentioning

confidence: 99%

Clearance Nonlinear Control Method of Electro-Hydraulic Servo System Based on Hopfield Neural Network

Wang,

Song

2024

Machines

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“…Stringent constraints [7] are placed on the dynamic [8] performance of the valves as well as the accuracy of the sensor feedback in order to meet the requirements of high precision [9], high response, and high robustness. This means that when developing and producing valves [10], every detail must be considered to assure their stability and dependability [11]. Simultaneously, the variable mechanism of the variable pump plays a significant role in enhancing pump flow response.…”

Section: Introductionmentioning

confidence: 99%

Advanced Control Systems for Axial Piston Pumps Enhancing Variable Mechanisms and Robust Piston Positioning

Feng,

Jian,

et al. 2023

Applied Sciences

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Axial piston pumps provide a number of benefits, including strong pressure resistance, high efficiency, high transmission power, a broad speed range, and a long lifespan. These characteristics have led to their widespread usage in naval applications, construction machines, and hydraulic machinery. On the other hand, axial piston pumps frequently display reduced operating speeds as well as instability because of their inherently nonlinear properties. In this study, a mathematical model of these changeable (variable) processes is developed using a mix of theoretical calculations and acquired data. An investigation of variable mechanism control in axial piston pumps is carried out centered on robust control methods, and the controller is constructed utilizing robust H∞ theory. In terms of resilience, control precision, and system reaction time, simulations show that the H controller surpasses the PID controller.

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“…Therefore, in recent years, some scholars have adopted the co-simulation method to conduct research and experiments on hydraulic position servo system and other related aspects, and its application elds mainly involve automobile suspension, machine tools and lifting actuators 25,26 . For the study of co-simulation, Liu et al 27 studied the modeling method of virtual prototypes and the dynamical system that simpli es instead of them, but the modeling is not accurate. Zhang et al 28 performed a cosimulation of AMEsim and Matlab platform by calling AMEsim platform using S-function interface to enhance the development of control strategies for electro-hydraulic lift systems and well validated the control accuracy of the proposed observer-sliding mode control strategy.…”

Section: Introducitionmentioning

confidence: 99%

Sliding mode control of the hydraulic swing joint based on nonlinear disturbance observers

Yang

Zhang

et al. 2023

Preprint

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Due to the nonlinearity of the hydraulic position servo system and its model uncertainty, which makes it more difficult to establish an accurate mathematical model, while a single control algorithm can no longer meet the control accuracy and demand of the hydraulic servo system. In order to better study the position control method of hydraulic swing joint and improve the control accuracy, this paper attempts to address the position servo control problem of hydraulic swing joint by proposing a sliding mode control approach in which, based on nonlinear disturbance observers and the effectiveness of the algorithm is verified by AMESim-Matlab/Simulink co-simulation. Firstly, this paper briefly describes the three-dimensional model of hydraulic swing joint and analyzes the working principle of the position servo system of hydraulic swing joint. Secondly, the mathematical model of the hydraulic swing joint position servo system was established, the control algorithm was designed, and the stability of the control algorithm was proved using Lyapunov theory. Thirdly, combining the rich component model library of AMEsim platform and the powerful numerical computing capability of Matlab platform, the co-simulation of the two platforms is realized by creating S-Function interface in Matlab platform. Finally, the validity of the proposed sliding mode control strategy based on the nonlinear disturbance observers (NDOB-SMC) strategy is verified through experimental analysis of co-simulation, and compared with the traditional PID as well as the traditional sliding mode control (SMC) algorithm, which is found to possess superior control accuracy and practical application capability.

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Research on Electro-hydraulic Servo System of Air Rudder on Model Reference Adaptive Control

Cited by 6 publications

References 1 publication

Clearance Nonlinear Control Method of Electro-Hydraulic Servo System Based on Hopfield Neural Network

Clearance Nonlinear Control Method of Electro-Hydraulic Servo System Based on Hopfield Neural Network

Advanced Control Systems for Axial Piston Pumps Enhancing Variable Mechanisms and Robust Piston Positioning

Sliding mode control of the hydraulic swing joint based on nonlinear disturbance observers

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