Model‐free linear active disturbance rejection output feedback control for electro‐hydraulic proportional system with unknown dead‐zone

The extended state observer (ESO) has been widely used in the state and perturbation estimation of the electro-hydraulic servo system. It was found that there was a controlled quantity in the transfer function between the perturbation estimation value and the disturbance. This indicates that the traditional linear ESO’s estimation of the disturbance is affected by the change in the control input. To solve this problem, a new structure ESO for a hydraulic system (LHYESO) was designed by introducing the hydraulic system’s load pressure and system model. The corresponding frequency domain analysis results show that it eliminates the control input in the transfer function and reduces the dependence of the high-frequency domain range of the perturbation estimation on the significant observer gain. To improve the estimation speed, a finite-time convergent ESO for hydraulic systems (FTHYESO) was proposed based on the structure of LHYESO, and it was proved that the observation error converged to a sufficiently small value during a finite time. Moreover, a finite-time backstepping controller has been designed by using the Lyapunov method to guarantee the rapidity and precise response of the hydraulic servo system. Finally, the experiment results show the effectiveness of the proposed method.

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“…According to Dalla and Wang [40,41], the pressure dynamics can be written as follows, considering the compressibility and leakage of the oil:…”

Section: System Modelmentioning

confidence: 99%

Finite-Time Backstepping Control for Electro-Hydraulic Servo System via Extended State Observer with Perturbation Estimation Performance Improvement

Meng

Yan

et al. 2022

Machines

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“…Wu et al 9 designed a new electro-hydraulic ostrich machine based on ADRC, which effectively improves the damping effect of the start stop transient structure, and has good stability and tracking performance under external interference. To improve the accuracy of mobile robot trajectory tracking when disturbed by external factors, Wang et al 10 designed a trajectory tracking control method based on ADRC. To reconcile the conflict between observer response speed and system anti-interference brought by fixed bandwidth in ADRC, Wang et al 11 designed a control system of the ADRC optimized by backpropagation (BP) neural network, the simulation and experiment demonstrate the significant robustness and adaptability of the ADRC optimized by BP neural network.…”

Section: Introductionmentioning

confidence: 99%

Sensorless control of a PMSM based on an RBF neural network-optimized ADRC and SGHCKF-STF algorithm

Li,

Zhang,

Shi

et al. 2023

Measurement and Control

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For the problem of the rotor position estimation and control accuracy of permanent magnet synchronous motor (PMSM), this paper proposes a PMSM sensorless based on radial basis function (RBF) neural network optimized Automatic disturbance rejection control (RBF-ADRC) and strong tracking filter (STF) improved square root generalized fifth-order cubature Kalman filter (SGHCKF-STF). The Automatic disturbance rejection control (ADRC) has strong robustness, but there are many parameters and difficult to adjust. Now we use RBF neural network to adjust the parameters in ADRC online so as to improve the robustness and anti-disturbance ability. In order to improve the estimation accuracy of rotor position and speed, the orthogonal triangle (QR) decomposition and STF are introduced on the basis of the generalized fifth-order cubature Kalman filter (GHCKF) to design the SGHCKF-STF algorithm that not only ensure the non-positive nature of the covariance matrix but also improve the ability to cope with sudden changes in state during the filtering process. Experimental results show that the combination of RBF-ADRC and SGHCKF-STF improve the sensorless control effect of the PMSM to some extent.

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“…Peng, X. W. [15] designed a fuzzy dead-zone compensation algorithm that can adjust the amount of dead zone compensation online based on error and error rate of change, which effectively reduced the impact of nonlinearity and time-varying of the system. Wang, L. [16] designed output feedback controller based on model-free linear active disturbance rejection theory for electro-hydraulic proportional system with unknown dead-zone. In [17], dither compensation technology is presented to compensate the nonlinear dead zone of electro-hydraulic servo valve.…”

Section: Introductionmentioning

confidence: 99%

Zero Point Compensation Control of the Proportional Valve with Negative Overlap

ZENG,

LI,

TAN

et al. 2023

mech

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In order to improve the performance of the negative overlapped valve controlled asymmetrical cylinder system, a theoretical zero point model of the valve with symmetric and unequal negative overlap was established. The simulation results showed that the zero point of the system will shift as the load changes, and the error of the theoretical zero point is relatively larger in some certain pressure states. In order to find the zero point quickly and steadily and improve the positioning accuracy of the system, a zero point compensation controller based on theoretical zero point plus error integral control was designed. Compared the pure P controller with the compound control of P controller and zero point compensation controller, the control accuracy of the system has been greatly improved under transient load and sinusoidal load interference.

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Model‐free linear active disturbance rejection output feedback control for electro‐hydraulic proportional system with unknown dead‐zone

Cited by 17 publications

References 45 publications

Finite-Time Backstepping Control for Electro-Hydraulic Servo System via Extended State Observer with Perturbation Estimation Performance Improvement

Finite-Time Backstepping Control for Electro-Hydraulic Servo System via Extended State Observer with Perturbation Estimation Performance Improvement

Sensorless control of a PMSM based on an RBF neural network-optimized ADRC and SGHCKF-STF algorithm

Zero Point Compensation Control of the Proportional Valve with Negative Overlap

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