2023
DOI: 10.1007/s11071-023-08364-3
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Fault-tolerant control for an electro-hydraulic servo system with sensor fault compensation and disturbance rejection

Abstract: The electro-hydraulic servo system (EHSS) usually faces multiple sensor faults and disturbances, which is difficult to achieve good tracking control, reliability, and stability control. In this article, an advanced fault-tolerant controller is proposed for an EHSS to deal with the above challenge. The three fault observers, called nonlinear unknown input observers (NUIOs), are developed to effectively estimate the position, velocity, pressure sensor faults and the system states. The fault detection, estimation… Show more

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Cited by 11 publications
(4 citation statements)
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References 38 publications
(59 reference statements)
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“…To evaluate and compare the quality of controllers, we evaluate based on indicators such as Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) that are formulated as follows [31,32]:…”
Section: Performance Index Evaluationmentioning
confidence: 99%
“…To evaluate and compare the quality of controllers, we evaluate based on indicators such as Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) that are formulated as follows [31,32]:…”
Section: Performance Index Evaluationmentioning
confidence: 99%
“…Fulfilling such escalating performance requirements necessitates the development of sophisticated control strategies. However, Nonetheless, several factors such as inherent nonlinear behaviors, unpredictable parameters, output limitations, unforeseen dynamic interactions, and non-conformant disturbances-pose considerable hindrances in advancing the performance levels of EHCS, as reported in the literature [12][13][14]. To conquer these hurdles, research experts and control engineering professionals have conceived innovative control methodologies uniquely suited for EHCS applications [15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…An active force control system is developed to provide an accurate real-time force loading for the landing gear of the M-346 "iron bird", which is an integrated testing rig for the simulation, confirmation, and verification of the flight controls, hydraulic system, and landing gear of the M-346 trainer, adopting the servo valve to control the hydraulic actuator, combined with a nonlinear adaptive control law to achieve precise loading controls [11]. To account for the internal and external disturbances that affect the mechanism of the loading simulator, a more accurate mathematical model, including nonlinear factors and uncertainties, advanced control algorithms (i.e., backstepping [12], sliding mode, neural network [13], iterative learning control [14]), and sensor faults and disturbances observation [15,16], is utilized for accurate tracking and nonlinear compensation. The backstepping adaptive control, combined with the modified LuGre friction model [17], is introduced into the force-tracking control of the loading simulator [18].…”
Section: Introductionmentioning
confidence: 99%