Sliding mode control for electro‐hydraulic proportional directional valve‐controlled position tracking system based on an extended state observer

Abstract

A novel method combining the sliding mode control (SMC) and extended state observer (ESO) is proposed for position control of an electro-hydraulic servo system (EHSS), which is nonlinear in mechanical dynamics. Based on the SMC technique, the corresponding sliding mode controller is designed to guarantee the state variables of the closed-loop system to converge to the reference state by applying an ESO to estimate external disturbances and the internal dynamics. Also, simulation results are presented to illustrate the effectiveness of the control strategy; synchronously, SMC can achieve better control performance than proportional integral derivative (PID) method in comparison with the PID control approach.

Terminal angle constrained time‐varying sliding mode guidance law with autopilot dynamics and input saturation

“…The proof of the convergence of the ESO can be referred to Baozhu and Zhiliang [47] and Huixuan et al [48]. By tuning the parameters properly, then the estimate errors will converge to zero after a time instant $$$ {t}_{\varepsilon_1} $$$, that is, $$$ {e}_{1i}\to 0\kern0.1em \left(i=1,2\right) $$$ and $$$ {e}_{2j}\to 0\kern0.1em \left(j=1,2,3\right) $$$.…”

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

“…The closed-loop system stability is analysed by the descriptive function method because the plant contains a dead-zone. The LESO in Equation (30) and LESF in Equation ( 31) are transformed to transfer functions. To analyse the effect of b 0 on stability, it is retained temporarily.…”

“…A compensation method based on microflow rate detection is presented in [28]. The adaptive dead-zone inverse compensation controller, sliding mode control, and robust adaptive controller are integrated to solve the problem of position tracking of the plant with unknown deadzone [29][30][31][32]. Additionally, ICMs such as fuzzy control and neural network control have also been extensively investigated to address the unknown dead-zone issue [33,34].…”

Mathematical model and PID control of a hydraulic motor using on/off solenoid valve

“…2 Such these works and others used to control the hydraulic motor a proportional or a servo valve [7]. Such theses valves have the advantages of good controllability, high precision and small hysteresis [8]. However, high cost and high sensitivity to contamination can represent defects of such these valves [9].…”