Guidance, Navigation, and Control Conference and Exhibit 1998
DOI: 10.2514/6.1998-4487
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Integration of on-line system identification and optimization-based control allocation

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Cited by 43 publications
(25 citation statements)
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“…(15) is satisfied. The control allocation scheme used in this case draws heavily on the work of Buffington 4 and Buffington et al 9 The control allocation problems are formulated as linear programs (LPs). The LP approach minimizes a linear performance index subject to linear constraints.…”
Section: Control Allocationmentioning
confidence: 99%
See 1 more Smart Citation
“…(15) is satisfied. The control allocation scheme used in this case draws heavily on the work of Buffington 4 and Buffington et al 9 The control allocation problems are formulated as linear programs (LPs). The LP approach minimizes a linear performance index subject to linear constraints.…”
Section: Control Allocationmentioning
confidence: 99%
“…In the event of control effector damage or failures, a static approach to online system identification proposed by Chandler et al 5 and Buffington et al 9 is used to estimate the vehicle's changing control derivatives. The newly updated control derivatives are then used by the dynamic inversion control law to track the attitude guidance commands.…”
Section: Online System Identificationmentioning
confidence: 99%
“…The eventual goal is to integrate the linear program control allocation with on-line adaptation to provide robustness to large errors and optimal performance [8]. A fundamental requirement for adaptive control is persistence of excitation and a well-conditioned regressor matrix [13].…”
Section: Null Space Injection Modementioning
confidence: 99%
“…In this way the control commands needed to attain the desired moments can be computed even in presence of actuator failures, while also dealing with position and rate limits of the control effectors. A great amount of techniques for control allocation are available in literature (Virnig & Bodden, 2000;Enns, 1998;Buffington & Chandler, 1998;Durham & Bordignon, 1995;Burken et al, 2001). The technique used in this chapter is the one introduced by Harkegard (Harkegard, 2002) based on active set methods, which is very effective for real-time applications and converge in a finite number of steps.…”
Section: Introductionmentioning
confidence: 99%