Design of Integral Control Algorithms for Fly-by-Wire Control System of Advanced High-Speed Helicopter

Kuvshinov, Vladimir Mikhailovich

doi:10.1615/tsagiscij.2016017070

Cited by 4 publications

(6 citation statements)

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“…In order to obtain the incremental form of the compound helicopter velocity dynamic model, (12) are rewritten by applying the Taylor series expansion to the ĝi (x 1 , x 2 , u 1 ) at the…”

Section: Outer Control Loop Designmentioning

confidence: 99%

“…However, there are still few related research results to deal with the challenges in advanced controller design. These related literatures mainly consider one certain flight mode such as high-speed mode [12] or low-speed mode [13] with traditional model-based approaches [11] including nonlinear dynamic inversion (NDI), sliding mode control (SMC) and backstepping. However, these methods ignored nonaffine property of compound helicopter and can hardly overcome uncertain cross-coupling perturbation throughout flight envelope.…”

Section: Introductionmentioning

confidence: 99%

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Improved neural network adaptive control for compound helicopter with uncertain cross-coupling in multimodal maneuver

et al. 2022

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“…In order to obtain the incremental form of the compound helicopter velocity dynamic model, (12) are rewritten by applying the Taylor series expansion to the ĝi (x 1 , x 2 , u 1 ) at the…”

Section: Outer Control Loop Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved neural network adaptive control for compound helicopter with uncertain cross-coupling in multimodal maneuver

et al. 2022

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show abstract

“…In order to obtain the incremental form of the compound helicopter velocity dynamic model, (12) are rewritten by applying the Taylor series expansion to theĝ i (x 1 , x 2 , u 1 ) at the beginning of each sampling interval (denoted by superscript 0)…”

Section: Outer Control Loop Designmentioning

confidence: 99%

“…where c i > 0 are known. Theorem 1 Consider the compound helicopter nonlinear dynamics given by (12) together with the control law given by ( 18) and ( 22), and adaptive law given by (41) satisfying assumptions 1-6 as well as the following condition…”

Section: Stability Analysis Of Proposed Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improved Neural Network Adaptive Control for Compound Helicopter with Uncertain Cross-Coupling in Multimodal Maneuver

Fang¹,

Xiong²,

Zhang³

et al. 2021

Preprint

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The main goal of this study was to create a robust control system that could guide or replace the pilots in tracking of commanded velocity and attitude in multimodal maneuver, while complex dynamics and uncertain aerodynamic cross-coupling among control surfaces of compound helicopter are considered. To this end, a Pi-Sigma neural network (PSNN) adaptive controller is proposed based upon the certainty-equivalence (CE) principle, where a novel Lyapunov-based weight self-tuning algorithm augmented with e-modification is designed to realize efficient uncertainty approximation and guarantee robustness of convergence process. Compared with traditional neural networks in control field, stronger generalization ability of PSNN must be balanced against weaker stability, which leads to inevitable parameters perturbation. Therefore, an incremental nonlinear dynamic inversion (INDI) framework is established to decouple original overactuated system and reject parameters perturbation in PSNN. Meanwhile, by incorporating Lagrang- multiplier method into allocation, an original incremental allocation method is designed to get globally ideal control input according to time-varying working capability of each surface. In terms of Lyapunov theorem, it is demonstrated that the closed-loop augmented system driven by the proposed control scheme is semi-global uniformly ultimately bounded (SGUUB). Finally, the simulation result validates the effectiveness of proposed control scheme.

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Hybrid multi-objective control allocation strategy for compound high-speed rotorcraft

et al. 2020

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Design of Integral Control Algorithms for Fly-by-Wire Control System of Advanced High-Speed Helicopter

Cited by 4 publications

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Improved neural network adaptive control for compound helicopter with uncertain cross-coupling in multimodal maneuver

Improved neural network adaptive control for compound helicopter with uncertain cross-coupling in multimodal maneuver

Improved Neural Network Adaptive Control for Compound Helicopter with Uncertain Cross-Coupling in Multimodal Maneuver

Hybrid multi-objective control allocation strategy for compound high-speed rotorcraft

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