Leaderless Formation Control using Dynamic Extension and Sliding Control

Zheng, Zhibo; Spry, S.; Girard, Anouck

doi:10.3182/20080706-5-kr-1001.02709

Cited by 8 publications

(5 citation statements)

References 17 publications

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“…The control is airspeed rate and is turn rate. Zheng et al (2008) use the model which describe in (3) to control three flying vehicles track the given desired path. From the single vehicle dynamics can be formed as a multi-agent multi vehicle models as special form of the system of equations (2) as follows…”

Section: Multi Vehicle Modelmentioning

confidence: 99%

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Multi flying vehicle control for saving fuel

Tjahjana¹,

Sasongko²

2014

ams

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This paper describes flying multi-vehicle control strategies and its benefit for saving fuel. Exposition starts from inspiration of flying multi-vehicle in daily life. Furthermore, from model of single flying vehicle, we construct the model of multi-vehicle and cost functional model that describe the state of the cost to be met the flying vehicle. The flying multi-vehicle control designed with optimal control strategy. The design of optimal control is done through the Pontryagin Maximum Principle, brings the model to a system of equations consisting of state equations and costate equations. In the system of states equations, each having initial and final condition, in the costate equations system has no requirements at all. The next problem is converted to the initial value problem and search for the approximate initial condition equation of costate equations system which has no requirements using a modified method of steepest descent. Thus, the control of multi-vehicle successfully performed and the simulation results presented on the results and discussion section. In addition, we also calcute the fuel which used by multi-vehicle, compared by the fuel which used by each vehicle in solo flying. The result can be conclude that the fuel more efficient if the flying vehicles in formation flying.

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Section: Multi Vehicle Modelmentioning

confidence: 99%

“…describe a flying vehicle, until the last flying vehicle modeled by the last row in equation(2). In this paper, for single vehicle model we followZheng et al (2008), specially selected flight dynamics of the vehicle in the form of non-linear…”

mentioning

confidence: 99%

Multi flying vehicle control for saving fuel

Tjahjana¹,

Sasongko²

2014

ams

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“…The idea is derived from sliding mode control used for Unmanned Aerial Vehicle (UVA). 15 If the position at the n th jump is represented in the cross track-tangential plane,d −t, by…”

Section: Control Algorithmsmentioning

confidence: 99%

Dynamics and Control for Surface Exploration of Small Bodies

Bellerose

Scheeres

2008

AIAA/AAS Astrodynamics Specialist Conference and Exhibit

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We provide a general discussion on the surface dynamics of particles in the gravitational field of a small body system. In this paper, we model the asteroid as an ellipsoid, and also consider binary systems. We investigate the dynamics near the stable and unstable surface equilibria of an ellipsoid body under different perturbations. We give analytical tools to approximate the total distance covered and the amount of time it takes for a particle to settle on a non-ideal surface. Using these analytical tools, we develop control laws for single and multiple collaborating vehicles to counteract the effect of surface equilibria. Simulations of the dynamics and control are shown.

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“…For the MAS itself, there are many situations to consider when a suitable control strategy is adopted. For example, no specific agent is designated as the leader in a leaderless MAS [16], the agent cannot update the control input in time due to communication delay in a time-delay MAS [17], and the control input subject to saturation owing to its maximum and minimum limits [12].…”

Section: Introductionmentioning

confidence: 99%

Consensus-Based Formation of Second-Order Multi-Agent Systems via Linear-Transformation-Based Partial Stability Approach

Wan

Zhou

et al. 2019

IEEE Access

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The paper studies the time-invariant formation problem of second-order multi-agent systems under a time-invariant directed communication topology. Extensions of the consensus protocol are introduced in the formation control. By choosing appropriate consensus states, the state-linear-transformation approach and the partial stability theory are adopted to analyze the formation problem. Sufficient and necessary algebraic criteria are derived for the formation regulation problem with or without velocity constrains and the formation tracking problem. They are expressed in terms of Hurwitz stability of matrices which are constructed from the gain matrices of formation control protocols.

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Leaderless Formation Control using Dynamic Extension and Sliding Control

Cited by 8 publications

References 17 publications

Multi flying vehicle control for saving fuel

Multi flying vehicle control for saving fuel

Dynamics and Control for Surface Exploration of Small Bodies

Consensus-Based Formation of Second-Order Multi-Agent Systems via Linear-Transformation-Based Partial Stability Approach

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