2018
DOI: 10.1016/j.measurement.2018.07.023
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Speed control for K-mirror of 2-m telescope using improved active disturbance rejection controller

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Cited by 8 publications
(3 citation statements)
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“…It has a higher anti-disturbance ability [8], [9], but it increases the complexity of the control structure and necessitates the use of additional inertial sensors. The ADRC method extends the total disturbance to the state equation for estimation and compensation without the use of additional sensors, but it has more parameters and is more difficult to design [10], [11]. LQR obtains the optimal control law of state linear feedback, from which a closed-loop optimal control can be easily formed.…”
Section: Introductionmentioning
confidence: 99%
“…It has a higher anti-disturbance ability [8], [9], but it increases the complexity of the control structure and necessitates the use of additional inertial sensors. The ADRC method extends the total disturbance to the state equation for estimation and compensation without the use of additional sensors, but it has more parameters and is more difficult to design [10], [11]. LQR obtains the optimal control law of state linear feedback, from which a closed-loop optimal control can be easily formed.…”
Section: Introductionmentioning
confidence: 99%
“…For example, the active disturbance rejection controller (ADRC) is designed based on the classical feedback control framework. With the help of tracking differentiator, feedback control law, and the extended state observer (ESO), the ADRC controller can resist the internal uncertainty (e.g., the nonlinearity of the system) and the external disturbance (e.g., the wind disturbance) (Qiu et al 2014;Ranka et al 2015;Guo et al 2016;Feng & Guo 2017;Deng et al 2018;Li et al 2019). However, as the core of ADRC controller, the ESO can only estimate rough disturbance signal and is very sensitive to parameter tuning since it is not designed based on the system's model.…”
Section: Introductionmentioning
confidence: 99%
“…The PID controller has the feature of simple structure, easy tuning, and independence of the controlled plant model, although there are limitations in its performance. Some advanced control schemes are also researched, such as adaptive control [5], sliding control [15], H∞ method [16], LQG method [17] and active disturbance rejection control [18][19][20], etc.…”
Section: Introductionmentioning
confidence: 99%