2018
DOI: 10.1061/(asce)as.1943-5525.0000814
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Conceptual Design of Stratospheric Airships Focusing on Energy Balance

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Cited by 31 publications
(11 citation statements)
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“…The atmospheric environment of stratosphere is more stable than that of troposphere, so there should be sensitive control system including telemetries and actuators installed on to response accurately, quickly to the change of the environment [22]. Because of the sensitiveness of airship weight and low thrust, the energy configuration is very close to the theoretical level [23].…”
Section: Differences Between Stratospheric and Traditional Airshipmentioning
confidence: 99%
“…The atmospheric environment of stratosphere is more stable than that of troposphere, so there should be sensitive control system including telemetries and actuators installed on to response accurately, quickly to the change of the environment [22]. Because of the sensitiveness of airship weight and low thrust, the energy configuration is very close to the theoretical level [23].…”
Section: Differences Between Stratospheric and Traditional Airshipmentioning
confidence: 99%
“…It is worthwhile noting that N increases with the performance simulation time tsim increasing. Based on the sample sets [Xj,fj(ti)](j=1,2,,2m,i=1,2,N), an approximate model f^i(X) is constructed using the radial basis function (RBF) 2123 for each time node. The thrust versus time performance curve f(tsim)can be presented by the N approximate models.…”
Section: Progressive Matching Optimization Approachmentioning
confidence: 99%
“…The optimal trajectory problem, which was transformed into an optimal control problem by Blouin et al, 14 was solved using a pseudospectral method. Based on dynamic model and kinetic model of stratospheric airship, Yang and colleagues 15,16 evaluated the power consumption of stratospheric airship and proposed a model predictive control method for the trajectory control. Guo et al 17 presented a simultaneous trajectory planning and tracking controller for use under cruise conditions based on a model predictive control (MPC).…”
Section: Introductionmentioning
confidence: 99%