2019
DOI: 10.21629/jsee.2019.01.16
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Switching disturbance rejection attitude control of near space vehicles with variable structure

Abstract: A switching disturbance rejection attitude control law is proposed for a near space vehicle (NSV) with variable structure. The multiple flight modes, system uncertainties and disturbances of the NSV are taken into account based on switched nonlinear systems. Compared with traditional backstepping design methods, the proposed method utilizes the added integrals of attitude angle and angular rate tracking errors to further decrease the tracking errors. Moreover, to reduce the computation complexity, a rapid conv… Show more

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Cited by 5 publications
(3 citation statements)
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“…Remark 1: The introduction of H(t) is based on strict mathematical logic. In (14), (7) and system (8) shows that H(t) is derivable. Furthermore, please refer to Table 1 in the text for the aerodynamic derivative in the aircraft system.…”
Section: Hypothesismentioning
confidence: 99%
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“…Remark 1: The introduction of H(t) is based on strict mathematical logic. In (14), (7) and system (8) shows that H(t) is derivable. Furthermore, please refer to Table 1 in the text for the aerodynamic derivative in the aircraft system.…”
Section: Hypothesismentioning
confidence: 99%
“…Attitude control system is no exception, and its nonlinear dynamics must also be considered [2]. Various nonlinear control algorithms, such as fault tolerant control [3][4][5], that studied H ∞ fault tolerant attitude control of satellite with actuator and sensor faults based on observer; fuzzy adaptive algorithm [6,7]; variable structure control [8]; and sliding control [9,10], that studied the fixed time integral sliding mode control for the attitude stability of the quadrotor unmanned aerial vehicle with actuator failure; etc., have been proposed for solving the attitude control problem for spacecraft. However, so far, few scholars have studied the attitude control of aircraft by using ADRC; it is rare to study this problem in combination with the back-stepping method.…”
Section: Research Backgroundmentioning
confidence: 99%
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