A damage adaptive flight control system using neural network technology

Urnes, James M.; Davidson, Roger A.; Jacobson, Steven R.

doi:10.1109/acc.2001.946344

Cited by 6 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The PTNN was replaced by a linear inversion model in some applications. The structure has been applied to many aircraft such as anti-air missiles [76], tiltrotor aircraft [77], tailless fighter aircraft [78] and advanced control technology for integrated vehicles (ACTIVE) NF-15B [13].…”

Section: Nn Technology For Rfcsmentioning

confidence: 99%

“…Moreover, intelligent flight control system (IFCS) program [11][12][13][14][15][16] was performed from 2002 to 2006 and integrated adaptive guidance and control (IAG&C) program was held during the early 2000s [17][18][19]. Many reconfigurable control approaches and technologies have been demonstrated in these programs, such as NDI, backstepping, MPC, parameter identification (PID), and NN.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Survey on nonlinear reconfigurable flight control

Jiang

et al. 2013

J. of Syst. Eng. Electron.

View full text Add to dashboard Cite

An overview on nonlinear reconfigurable flight control approaches that have been demonstrated in flight-test or highfidelity simulation is presented. Various approaches for reconfigurable flight control systems are considered, including nonlinear dynamic inversion, parameter identification and neural network technologies, backstepping and model predictive control approaches. The recent research work, flight tests, and potential strength and weakness of each approach are discussed objectively in order to give readers and researchers some reference. Finally, possible future directions and open problems in this area are addressed.

show abstract

Section: Nn Technology For Rfcsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Survey on nonlinear reconfigurable flight control

Jiang

et al. 2013

J. of Syst. Eng. Electron.

View full text Add to dashboard Cite

show abstract

“…This was to be augmented by on-line parameter identification and a neural-network that learned the errors in the aircraft model data stored in the static neural-network. A version of this architecture without adaptation was flight tested in spring of 1999 on a research F-15 [66]. Fifteen flights were completed, making this a fairly large test program when compared with the other efforts described in this section.…”

Section: Fig 5 Adaptive Neural Network Flight Tested On X-36mentioning

confidence: 99%

Historical Overview of Research in Reconfigurable Flight Control

Steinberg

2005

Proceedings of the Institution of Mechanical Engineers, Part G:

112

View full text Add to dashboard Cite

This article presents a historical overview of research in reconfigurable flight control. For the purpose of this article, the term 'reconfigurable flight control' is used to refer to software algorithms designed specifically to compensate for failures or damage of flight control effectors or lifting surfaces, using the remaining effectors to generate compensating forces and moments. This article will discuss initial research and flight testing of approaches based on explicit fault detection, isolation, and estimation, as well as later approaches based on continuously adaptive and intelligent control algorithms. In addition, approaches for trajectory reshaping of an impaired aircraft with reconfigurable inner loop control laws will be briefly discussed. Finally, there will be some discussion on current implementations of reconfigurable control to improve safety on production and flight test aircraft and remaining challenges to enable broader use of the technology, such as the difficulties of flight certification of these types of approaches.

show abstract

“…In comparing the conventional control system to the PTNN and SOFFT controller, pilots commented that the new controller had similar or slightly improved handling qualities characteristics. 11,12 Pilots noted degraded handling qualities in the pitch axis and commented that the commands did not track actual rates as well as they did in the lateral axis. The suspected cause of this degradation is a difference between the original wind-tunnel model estimate of , based on a previous rectangular engine nozzle design used to train the PTNN, and the current configuration of the aircraft that uses round engine nozzles.…”

Section: Introductionmentioning

confidence: 99%