Smooth switching linear parameter‐varying control for hypersonic vehicles via a parameter set automatic partition method

Jiang, Weilai; Dong, Chaoyang; Wang, Qing

doi:10.1049/iet-cta.2015.0178

Cited by 18 publications

(9 citation statements)

References 32 publications

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“…Since lim t → ∞ ζ 2 ℐ (t) = d ℐ (t) and S ϑ is a Hurwitz matrix, it is concluded that lim t → ∞ ζ 2 (t) = d (t). Also, since lim t → ∞ ζ 2 (t) = d (t), the system represented by (27) is a special case of the system (14). The rest of the proof is similar to proof of Lemma 1.…”

Section: E C D G R T}mentioning

confidence: 74%

“…The presence of non-linearities in the system dynamics is another challenging issue for the control design problem in multiagent systems. Furthermore, in many practical multi-agents applications, the agents often exhibit time varying dynamics due to the variation in endogenous or exogenous parameters [24][25][26][27][28]. Stability analysis and control design problems for linear parametervarying (LPV) systems have been studied to cope with the nonlinearities of such physical systems.…”

Section: Introductionmentioning

confidence: 99%

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Distributed observer‐based cooperative control for output regulation in multi‐agent linear parameter‐varying systems

Mesbahi

Velni

2017

IET Control Theory & Applications

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In this paper, output regulation problem is examined for a class of heterogeneous multi-agent systems, whose dynamics are governed by affine linear parameter-varying (LPV) models, with a known communication topology. In the proposed solution method, the agents are divided into two groups depending on whether or not their output is directly affected by external (such as reference or disturbance) inputs. Conditions for cooperative LPV control synthesis are first constructed through the design of distributed observers. To establish these conditions, the solution to a time-varying Sylvester equation is required. An offline solution to this equation will be proposed to calculate and update the controller state-space matrices. The proposed design methodologies of this study are finally validated using a numerical example.

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Section: E C D G R T}mentioning

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Distributed observer‐based cooperative control for output regulation in multi‐agent linear parameter‐varying systems

Mesbahi

Velni

2017

IET Control Theory & Applications

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“…The LPV controller operates over the whole range of flight conditions without having to create a scheduling scheme. There are several researches applied LPV control method to fixed-wing aircraft [86][87][88][89][90][91], and few investigations are conducted on rotorcrafts [92,93] because of the following reasons: (1) the nonlinear helicopter model is not affine in control inputs because of the mainrotor dynamics; (2) the rapid variation of flight parameters requires fast transient response, which provides rigorous constraints for controller synthesis; (3) the selection of effective scheduling variables is challenging, since inner dynamics, such as inflow dynamics and blade flapping dynamics, have to be considered.…”

Section: Other Modern Control Methodologies Lqr/lqg Andmentioning

confidence: 99%

Survey on Flight Control Technology for Large-Scale Helicopter

Jinshuo

2017

International Journal of Aerospace Engineering

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A literature review of flight control technology is presented for large-scale helicopter. Challenges of large-scale helicopter flight control system (FCS) design are illustrated. Following this, various flight control methodologies are described with respect to their engineering implementation and theoretical developments, whose advantages and disadvantages are also analyzed. Then, the challenging research issues on flight control technology are identified, and future directions are highlighted.

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“…For each subregion, one local LPV controller is designed and switching among local controllers is performed according to switching laws such as hysteresis, average-dwell-time (ADT), and smooth switching methods. 19,[25][26][27][28] State-dependent switching without online measurement of varying parameters and also using online measurement of scheduling parameters are considered in the presented methods by Deaecto et al 29 and by Yang et al, 30,31 respectively. Simultaneous design of switching surfaces and a switching LPV controller is tackled in some works.…”

Section: Introductionmentioning

confidence: 99%

Improved multiobjective switching gain‐scheduled controller synthesis exploiting inexact scheduling parameters

Yavari

Sadeghzadeh

Shamaghdari

2020

Intl J Robust & Nonlinear

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In this article, the design problem of switching gain-scheduled output-feedback (SGSOF) controller with mixed  2 ∕ ∞ performance exploiting inexact scheduling parameters for continuous-time linear parameter-varying (LPV) systems is tackled. The absolute and proportional uncertainties on the scheduling parameters are considered. All the system matrices of the LPV plant are supposed to have polynomial dependency of arbitrary degree on the scheduling parameters. By exploiting hysteresis switching law and utilizing two independent families of parameter-dependent Lyapunov matrices and a family of slack variables, introducing additional degrees of freedom, performance improvement is achieved. A design approach, involving a two-step algorithm, is proposed in terms of solutions to a set of parameter-dependent linear matrix inequalities (LMIs) including parameter searches for two scalar values. The merit of the proposed method lies in its less conservativeness in comparison with the available approaches in the literature. Numerical studies are carried out to demonstrate the effectiveness of the presented method.

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Smooth switching linear parameter‐varying control for hypersonic vehicles via a parameter set automatic partition method

Cited by 18 publications

References 32 publications

Distributed observer‐based cooperative control for output regulation in multi‐agent linear parameter‐varying systems

Distributed observer‐based cooperative control for output regulation in multi‐agent linear parameter‐varying systems

Survey on Flight Control Technology for Large-Scale Helicopter

Improved multiobjective switching gain‐scheduled controller synthesis exploiting inexact scheduling parameters

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