A systematic method of smooth switching LPV controllers design for a morphing aircraft

Jiang, Weilai; Dong, Chaoyang; Wang, Qing

doi:10.1016/j.cja.2015.10.005

Cited by 52 publications

(34 citation statements)

References 31 publications

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“…A multiloop control structure comprised of linear inner-loop and outer-loop controller is proposed for a kind of folding-wing aircraft [4]; similarly, the idea can also be found in [1] depending on gain self-scheduled ∞ technique. Subsequently, a finite-time boundedness control approach [2] and a switching linear parameter varying method [6] are investigated for swept-back wing aircraft, respectively. The common feature in [1,2,4,6] is that the controllers are capable of ensuring the aircraft flight steady subject to the wing shape changes, but those designs are highly dependent on the precise prior knowledge of the dynamic model.…”

Section: Introductionmentioning

confidence: 99%

“…Subsequently, a finite-time boundedness control approach [2] and a switching linear parameter varying method [6] are investigated for swept-back wing aircraft, respectively. The common feature in [1,2,4,6] is that the controllers are capable of ensuring the aircraft flight steady subject to the wing shape changes, but those designs are highly dependent on the precise prior knowledge of the dynamic model. However, the aerodynamic forces and moments are also quite difficult to model accurately.…”

Section: Introductionmentioning

confidence: 99%

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Robust Adaptive Neural Control of Morphing Aircraft with Prescribed Performance

Shi

et al. 2017

Mathematical Problems in Engineering

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This study proposes a low-computational composite adaptive neural control scheme for the longitudinal dynamics of a swept-back wing aircraft subject to parameter uncertainties. To efficiently release the constraint often existing in conventional neural designs, whose closed-loop stability analysis always necessitates that neural networks (NNs) be confined in the active regions, a smooth switching function is presented to conquer this issue. By integrating minimal learning parameter (MLP) technique, prescribed performance control, and a kind of smooth switching strategy into back-stepping design, a new composite switching adaptive neural prescribed performance control scheme is proposed and a new type of adaptive laws is constructed for the altitude subsystem. Compared with previous neural control scheme for flight vehicle, the remarkable feature is that the proposed controller not only achieves the prescribed performance including transient and steady property but also addresses the constraint on NN. Two comparative simulations are presented to verify the effectiveness of the proposed controller.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Neural Control of Morphing Aircraft with Prescribed Performance

Shi

et al. 2017

Mathematical Problems in Engineering

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“…Due to the significant wing reconfiguration, aerodynamic parameters, which are varied dramatically, will make the morphing aircraft be a complicated system with strong nonlinearity and uncertainties. Therefore, analysis and control of morphing aircraft are more challenging than those for traditional flight vehicles [10,15]. On the other hand, compared with conventional wing-fixed aircraft, the morphing aircraft has multi-objective adaptability, wider flight envelop and higher combat effectiveness [4].…”

Section: Introductionmentioning

confidence: 99%

“…[14], a switching LPV controller is used to regulate the air-fuel ratio of an internal combustion engine, and all of them have improved system performance in certain extent. Meanwhile, for the purpose of improving design performance and transient responses as switching occurs, a smooth switching strategy has also been developed and various successful control applications have been reported [5,6,10].…”

Section: Introductionmentioning

confidence: 99%

Switching LPV control design with MDADT and its application to a morphing aircraft

You¹,

Li²,

Zhang³

et al. 2017

Kybernetika

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“…Separation methods can clarify multiple factors, or peaks in a single run, therefore such means can be treated as multidimensional information providing methods [6]. Among them capillary electrophoresis, gas chromatography and liquid chromatography are dominating in phytochemical investigations [7,8]. Capillary electrophoresis is a method that is used for separation of soluble charged, or chargeable analytes [9].…”

Section: Introductionmentioning

confidence: 99%

Cytotoxic attributes of antiviral plants rich in polyphenolic and volatile compounds

Drevinskas¹,

Mickienė²,

Maruška³

et al. 2018

chemija

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The application of natural products for treatment and prevention of various diseases is becoming more important. Not only antibacterial natural preparations are being developed, but also antiviral natural products are investigated. There are two main problems in such investigations: (i) special chemical analysis and data analysis methods have to be used, (ii) not only antiviral effect has to be taken into account, but also cytotoxic and other unwanted effects. In this work, a combination of separation methods (capillary electrophoresis and gas chromatography), spectrophotometric methods, data mining/data analysis methods (hierarchical clusterization, multidimensional scaling and classification and regression tree induction) for clarifying chemical attributes in cytotoxic plant extracts was applied. The selected plants belonged to families: (i) Lamiaceae, (ii) Asteraceae and (iii) Fabaceae. Most cytotoxic were Agastache foeniculum Pursh. Kuntze. and Salvia officinalis L. extracts. Least cytotoxic were Perilla frutescens L. and Satureja Montana L. extracts. The tendency of cytotoxic extracts having abundant concentrations of medium and low electrophoretic mobility cations was clarified.

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A systematic method of smooth switching LPV controllers design for a morphing aircraft

Cited by 52 publications

References 31 publications

Robust Adaptive Neural Control of Morphing Aircraft with Prescribed Performance

Robust Adaptive Neural Control of Morphing Aircraft with Prescribed Performance

Switching LPV control design with MDADT and its application to a morphing aircraft

Cytotoxic attributes of antiviral plants rich in polyphenolic and volatile compounds

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