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2015
DOI: 10.1016/j.isatra.2015.01.012
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Output feedback control of a mechanical system using magnetic levitation

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Cited by 27 publications
(14 citation statements)
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“…Define the first-order filter error as z 1i = ω refi − ω refi , and the virtual tracking error as e ωi = ω i − ω refi for i = 1, 2, 3. Substituting Equation (39) into Equation (38), one can arrive at…”
Section: Control Law Design For Attitude Angle Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…Define the first-order filter error as z 1i = ω refi − ω refi , and the virtual tracking error as e ωi = ω i − ω refi for i = 1, 2, 3. Substituting Equation (39) into Equation (38), one can arrive at…”
Section: Control Law Design For Attitude Angle Systemmentioning
confidence: 99%
“…The ADRC scheme has a wide range of applications in many fields, such as hypersonic reentry vehicles [34], forced Duffing mechanical systems [35], inverter systems [36], permanent magnet synchronous motors [37], etc. Beltran-Carbajal et al [38] put forward an output feedback control for a linear mass-spring-damper mechanical system, and an asymptotic estimation method was proposed to estimate the velocity, acceleration and disturbance signals in order to reduce the number of sensors. In [39], a novel output feedback control based on a generalized proportional integral observer for stabilization and robust tracking control of a nonlinear magnetic suspension system was investigated.…”
Section: Introductionmentioning
confidence: 99%
“…A spherical air bearing positioning system using electromagnetic actuators has been also developed in [17]. Other important applications of magnetic suspension systems have been reported in [18][19][20]. Hence, active suspension systems using electromagnetic actuators represent a feasible and efficient alternative for undesirable vibration attenuation and isolation.…”
Section: Introductionmentioning
confidence: 99%
“…In this regard, algebraic parametric identification methods have been also proposed for online reconstruction of unknown excitation forces [26][27][28]. Bounded disturbances have been also locally modelled by certain order Taylor polynomials for synthesis of asymptotic extended state observers for robust and efficient trajectory tracking control tasks on nonlinear magnetic suspension systems [19,20] and active nonlinear vibration suppression on mechanical systems [29].…”
Section: Introductionmentioning
confidence: 99%
“…Many magnetic levitation control design have been reported in the literature, including feedback linearization based controllers [4,6,[9][10][11], linear state feedback control design [6,12], the gain scheduling approach [13], observer-based control [5], neural network techniques [14], sliding mode controllers [8,15,16], backstepping control [17], model predictive control [18], cascade control [19] and PID controllers [20]. Since the governing differential equations are highly nonlinear, the nonlinear controllers are more attractive.…”
Section: Introductionmentioning
confidence: 99%