2009
DOI: 10.1007/s11432-009-0182-x
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Characteristic model based control of the X-34 reusable launch vehicle in its climbing phase

Abstract: In this paper, a characteristic model based longitudinal control design for the trans-aerosphere vehicle X-34 in its transonic and hypersonic climbing phase is proposed. The design is based on the dynamic characteristics of the vehicle and the curves it is to track in this climbing phase. Through a detailed analysis of the aerodynamics and vehicle dynamics during this climbing phase, an explicit description of the tracking curve for the flight path angle is derived. On the basis of this tracking curve, the tra… Show more

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Cited by 29 publications
(20 citation statements)
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“…With the online data, we could use any recursive regression method to find the coefficients we need. Here a gradient descent algorithm is given below [6]:…”
Section: Characteristic Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…With the online data, we could use any recursive regression method to find the coefficients we need. Here a gradient descent algorithm is given below [6]:…”
Section: Characteristic Modelingmentioning
confidence: 99%
“…They are u 0 (keep controller), u i (logical integration controller) and u d (logical differential controller). They are (see [6])…”
Section: Golden-section Controllermentioning
confidence: 99%
“…Over the past twenty years, this control scheme has already been applied to more than 400 systems belonging to 10 kinds of engineering plants in the fields of astronautics (such as in the successful rendezvous and docking of Shenzhou-8 spacecraft [9]) and industry [2], [10] in China. In recent years, its potential in hypersonic vehicle control was revealed during both the cruising phase [11], [7] and the climbing phase [12].…”
Section: Introductionmentioning
confidence: 99%
“…The direct mapping means if the estimated parameters are not in the data set N 1 or N 2 , the parametersα 1 (k),α 2 (k) andβ 0 (k) will be assigned values that have the shortest distance between the boundary points of set N 1 or N 2 and estimated values, so the identification results will always remain in the set [31].…”
Section: Golden-section Adaptive Controlmentioning
confidence: 99%
“…The characteristic model based ACAC method has been studied and applied to several industrial applications [8,9,31,33,34]. Compared with conventional adaptive control, characteristic model based ACAC has fewer coefficients to estimate and the controller structure is much simpler.…”
Section: Ambsmentioning
confidence: 99%