Integral sliding mode formation control of fixed-wing unmanned aircraft using seeker as a relative measurement system

Dehghani, Mohammad Ali; Menhaj, Mohammad Bagher

doi:10.1016/j.ast.2016.08.011

Cited by 34 publications

(26 citation statements)

References 27 publications

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“…In this section, the output stationary average consensus protocol for heterogeneous unknown linear MASs is introduced. Before presentation of main results, let us define ξ i (1) ∈ ℝ n i − 1 and ξ i (2) ∈ ℝ n i − 1 as ξ˙i (1)…”

Section: Resultsmentioning

confidence: 99%

“…In the past few years, tremendous attention has been aroused among the control communities toward the multi-agent systems (MASs). Moreover, control of MASs is a resilient, cheap, and flexible way of dealing with diverse tasks in wide areas such as maintenance, surveillance, reconnaissance, search and rescue mission, cooperative construction and manipulation [1]. Among the cooperative tasks, consensus problem has received considerable attention in various engineering communities.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive output stationary average consensus for heterogeneous unknown linear multi‐agent systems

Rezaei

Menhaj

2018

IET Control Theory & Applications

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive output stationary average consensus for heterogeneous unknown linear multi‐agent systems

Rezaei

Menhaj

2018

IET Control Theory & Applications

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“…Therefore, the cooperative navigation method to improve the positioning accuracy of UAV swarm has become a research hotspot. [3][4][5] In order to solve the problem of cooperative navigation of UAV swarm, scholars have carried out targeted research. Mainstream UAV swarm cooperative navigation schemes mainly include methods based on visual assistance and wireless ranging information assistance.…”

Section: Introductionmentioning

confidence: 99%

Cooperative navigation of unmanned aerial vehicle swarm based on cooperative dilution of precision

Chen

Xiong

Liu

et al. 2020

International Journal of Advanced Robotic Systems

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Aiming at the formation problem in the cooperative navigation of unmanned aerial vehicle swarm, a cooperative position error analysis method based on cooperative dilution of precision is studied in this article. During cooperative flight, the unmanned aerial vehicle swarm can use the received position and ranging information of the adjacent unmanned aerial vehicles to calculate the position, and fuse with its own sensor position information. The final positioning accuracy depends not only on the capability of the ranging sensor but also on the position accuracy and formation of the adjacent unmanned aerial vehicles. In this article, these influence factors are combined to put forward a cooperative dilution of precision calculation method suitable for unmanned aerial vehicle swarm cooperative navigation. On this basis, a cooperative integrated navigation method based on ranging information is designed. Finally, the performance of cooperative navigation of unmanned aerial vehicles in different formations is simulated and analyzed. The simulation result shows that the cooperative dilution of precision method proposed in this article can effectively analyze the influence of formation on the positioning accuracy of unmanned aerial vehicle swarm, and the final combined positioning result is consistent with the cooperative dilution of precision analysis result.

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“…In recent years, the unmanned aerial vehicles (UAVs) have attracted much attention because of their various applications (see, e.g., [1,2,3,4,5]). Tail-sitter aircrafts are a new type of UAVs, which can vertical take off and land (VTOL) on their tails, and fly forward with high speeds and heavy loads.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear robust control of tail-sitter aircrafts in flight mode transitions

Zhang

Liu

et al. 2018

Aerospace Science and Technology

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In this paper, a nonlinear robust controller is proposed to deal with the flight mode transition control problem of tail-sitter aircrafts. During the mode transitions, the control problem is challenging due to the high nonlinearities and strong couplings. The tail-sitter aircraft model can be considered as a nominal part with uncertainties including nonlinear terms, parametric uncertainties, and external disturbances. The proposed controller consists of a nominal H ∞ controller and a nonlinear disturbance observer. The nominal H ∞ controller based on the nominal model is designed to achieve the desired trajectory tracking performance. The uncertainties are regarded as equivalent disturbances to restrain their influences by the nonlinear disturbance observer. Theoretical analysis and simulation results are given to show advantages of the proposed control method, compared with the standard H ∞ control approach.

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Integral sliding mode formation control of fixed-wing unmanned aircraft using seeker as a relative measurement system

Cited by 34 publications

References 27 publications

Adaptive output stationary average consensus for heterogeneous unknown linear multi‐agent systems

Adaptive output stationary average consensus for heterogeneous unknown linear multi‐agent systems

Cooperative navigation of unmanned aerial vehicle swarm based on cooperative dilution of precision

Nonlinear robust control of tail-sitter aircrafts in flight mode transitions

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