2022
DOI: 10.1080/00207179.2022.2032363
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Sliding mode control with extended state observer for a class of nonlinear uncertain systems

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Cited by 7 publications
(6 citation statements)
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“…ADRC is a high-gain adaptive anti-disturbance control algorithm, including three main modules: track-differentiator(TD), extended state observer(ESO) and nonlinear state error feedback(NLSEF). The most important feature of ADRC is that the system model and external disturbances are all regarded as disturbances to the system, which are estimated by ESO and then compensated directly [9]. In addition, the parameter tuning of this controller is far easier than that of the classic pid controller under disturbance conditions [10].…”
Section: 33mentioning
confidence: 99%
“…ADRC is a high-gain adaptive anti-disturbance control algorithm, including three main modules: track-differentiator(TD), extended state observer(ESO) and nonlinear state error feedback(NLSEF). The most important feature of ADRC is that the system model and external disturbances are all regarded as disturbances to the system, which are estimated by ESO and then compensated directly [9]. In addition, the parameter tuning of this controller is far easier than that of the classic pid controller under disturbance conditions [10].…”
Section: 33mentioning
confidence: 99%
“…e sign e e fal e e e (9) In this equation, the variable r represents the speed of the control tracking signal, which is proportional to the tracking speed. z 11 is the speed signal after smoothing transition, y* is the given speed signal, and δ 1 is the filtering factor, α is usually taken as 0.5 or 0.25.…”
Section: Velocity Loop Td Designmentioning
confidence: 99%
“…Active Disturbance Rejection Control (ADRC) is a new type of nonlinear control theory that does not depend on the exact mathematical model of the object, proposed by Kyung-Ching Han [9] ADRC is a new nonlinear control theory that does not depend on the exact mathematical model of the object. Many results have been achieved in the application as well as improvement of the active disturbance rejection controller.…”
Section: Introductionmentioning
confidence: 99%
“…In practical systems, the state variables are usually unmeasurable or just partly measurable, and some control plans may not be well implemented. The observer can estimate those unmeasurable state variables; it overcomes the difficulties caused by lack of accurate state information (Han 1995;Yao and Wang 2009). By using observer method, in Wang and Su (2013), a LESO is constructed using a linear function, meanwhile detailed selection procedure of the proposed LESO related parameters is given.…”
Section: Introductionmentioning
confidence: 99%