DOI: 10.2514/1.33009 In a decentralized cooperative-control regime, individual vehicles autonomously compute their required control inputs to achieve a group objective. Controlling formations of individual vehicles is one application of decentralized cooperative control. In this paper, cooperative-control schemes are developed for a multivehicle formation problem with information flow modeled by leader–follower subsystems. Control laws are developed to drive position and velocity errors between vehicle pairs to zero. The general control law for the ith vehicle tracks its lead vehicle’s position and velocity, as well as a reference position and velocity that the whole formation follows. Rate-estimation schemes are developed for the general control law using both Luenberger-observer and passive-filtering estimation methods. It is shown that these estimation methods are complicated by the effects that the estimated rates have on formation stability. Finally, the development of a rate-free controller is presented, which does not require state informationfromothervehiclesintheformation.Thecontrolschemesaresimulatedfora five-vehicleformationand are compared for stability and formation convergence.
No takes yet. Share an insight, caveat, or question.
Weitz et al. (2008) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: