Adaptive Composite Fuzzy Dynamic Surface Control for Electro‐Hydraulic‐System, with Variable‐Supply‐Pressure

Guo, Qinyang; Shi, Guanglin; Wang, Dongmei

doi:10.1002/asjc.1907

Cited by 12 publications

(12 citation statements)

References 43 publications

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“…However, the complexity of the backstepping controller dramatically increases as the order of the system increases, which is called "computational explosion", due to the classic backstepping method requiring repeated derivation of the signal. A dynamic surface control method was utilized in order to solve this problem [29][30][31]. It was shown that this method helped to deal with the "computational explosion" problem.…”

Section: Controller Designmentioning

confidence: 99%

Robust Backstepping Control with Active Damping Strategy for Separating-Metering Electro-Hydraulic System

Su-hong

Huang

et al. 2019

Applied Sciences

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Electro-hydraulic servo systems are widely used in industrial applications. The load greatly affects the dynamic response of the separating-metering electro-hydraulic system. The current researches mainly aim at the system tracking performance for the hydraulic servo system, but the researches on the damping characteristics are relatively less. For energy-saving reasons, the metering-out chamber is often maintained near a lower pressure. The system will oscillate when the load drastically changes. The active damping strategy is proposed in this work in order to increase the damping and suppress the oscillation in separating-metering electro-hydraulic system. The effectiveness of the active damping strategy is proven by mathematical derivation. Furthermore, the nonlinear mathematical model of the separating-metering electro-hydraulic system is built, and a robust backstepping controller that combines the tracking differentiator and nonlinear disturbance observer is designed. The experimental results indicate that the system oscillation is suppressed and the proposed controller has good tracking accuracy.

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Section: Controller Designmentioning

confidence: 99%

Robust Backstepping Control with Active Damping Strategy for Separating-Metering Electro-Hydraulic System

Su-hong

Huang

et al. 2019

Applied Sciences

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“…Electro-Hydraulic Actuator (EHA) system is widely applied in industrial applications due to its tremendous advantages such as small size to power ratio, high precision, and fast response [1][2][3]. However, the EHA system is known as a nonlinear system due to its nonlinear dynamic characteristics such as leakage, flow-pressure relationship, temperature, the friction of the valve, dead zone [4]. For 99 that reason, the EHA system often requires a high control performance with high precision and heavy load so that it can produce a promising output in different industry applications [5].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Weightage Values with Two Objective Functions in iPSO for Electro-Hydraulic Actuator System

Chai

Ghazali

Horng

et al. 2021

ARFMTS

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In this paper, the Proportional-Integral-Derivative (PID) controller with improved Particle Swarm Optimization (iPSO) algorithm is proposed for the positioning control of nonlinear Electro-Hydraulic Actuator (EHA) system. PID controller is chosen to control the EHA system due to its popularity in industrial applications. The PID controller parameters will be tuned by using the iPSO algorithm to get the lowest overshoot percentage and steady-state error. The conventional PSO algorithm has only one objective function to get the optimum parameters. However, this is not enough to increase the control performance of the EHA system. Therefore, an improved Particle Swarm Optimization (iPSO) that includes the mean error and overshoot percentage as the two objective functions is proposed in this paper. The most popular method in PSO that included two objective functions is Linear Weight Summation (LWS). In this method, the two objective functions are combined with certain weightage into one equation to give the best control performance. This paper focuses on determining the suitable weightage between these two objective functions so that the EHA system can produce the best control performance with less overshoot and less error. Overshoot percentage and steady-state error are used to indicate the best control performance. The results showed that EHA system can perform better by using suitable weightage between the mean error and overshoot percentage.

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“…26,27 Some research has used the composite adaptive control (CAC) to improve the controller performance, 28,29 and the CAC method combined with other control strategies have also been presented recently. 30,31 The prediction error in the CAC is usually defined as ϵ = φ θ ~ , where φ is exciting signal vector and θ ~ is estimation error vector, usually using the instantaneous data to update the adaptive law. However, the adaptive law is often adopted with backstepping method, and there is a problem called the “explosion of complexity” that is caused by the partial derivatives of the virtual controllers.…”

Section: Introductionmentioning

confidence: 99%

Composite adaptive control based on historical data for electro-hydraulic system driven by dual servo motor-pump with unknown disturbance

Zhang

Shi

2021

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article presents a composite adaptive control method to improve the position-tracking performance of an electro-hydraulic system driven by dual constant displacement pump and dual servo motor named as a novel electro-hydraulic system with unknown disturbance. A composite adaptive controller based on backstepping method is designed to estimate the uncertainties of electro-hydraulic control system, including the damping coefficient and elastic modulus. In order to release the persistent excitation condition of conventional adaptive control, which is often infeasible in practice, a prediction error based on the online historical data is used to update the estimated parameters. Furthermore, a disturbance observer is used to estimate the disturbance including the unmeasurable load force, friction and other unmodeled disturbance. The experiment results are provided and compared with other methods to verify the effectiveness of the proposed method, and the results have indicated that the proposed method has a better position-tracking performance with the convergent estimated parameters.

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Adaptive Composite Fuzzy Dynamic Surface Control for Electro‐Hydraulic‐System, with Variable‐Supply‐Pressure

Cited by 12 publications

References 43 publications

Robust Backstepping Control with Active Damping Strategy for Separating-Metering Electro-Hydraulic System

Robust Backstepping Control with Active Damping Strategy for Separating-Metering Electro-Hydraulic System

The Effects of Weightage Values with Two Objective Functions in iPSO for Electro-Hydraulic Actuator System

Composite adaptive control based on historical data for electro-hydraulic system driven by dual servo motor-pump with unknown disturbance

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