scholarly journals Invariant Set Distributed Explicit Reference Governors for Provably Safe On-Board Control of Nano-Quadrotor Swarms

2021 ◽  
Vol 8 ◽  
Author(s):  
Bryan Convens ◽  
Kelly Merckaert ◽  
Bram Vanderborght ◽  
Marco M. Nicotra

This article provides a theory for provably safe and computationally efficient distributed constrained control, and describes an application to a swarm of nano-quadrotors with limited on-board hardware and subject to multiple state and input constraints. We provide a formal extension of the explicit reference governor framework to address the case of distributed systems. The efficacy, robustness, and scalability of the proposed theory is demonstrated by an extensive experimental validation campaign and a comparative simulation study on single and multiple nano-quadrotors. The control strategy is implemented in real-time on-board palm-sized unmanned erial vehicles, and achieves safe swarm coordination without relying on any offline trajectory computations.

Author(s):  
Fatma Ezzahra Rhili ◽  
Asma Atig ◽  
Ridha Ben Abdennour ◽  
Fabrice Druaux ◽  
Dimitri Lefebvre

In this study, an adaptive control based on fuzzy adapting rate for neural emulator of nonlinear systems having unknown dynamics is proposed. The indirect adaptive control scheme is composed by the neural emulator and the neural controller which are connected by an autonomous algorithm inspired from the real-time recurrent learning. In order to ensure stability and faster convergence, a neural controller adapting rate is established in the sense of the continuous Lyapunov stability method. Numerical simulations are included to illustrate the effectiveness of the proposed method. The performance of the proposed control strategy is also demonstrated through an experimental simulation.


2019 ◽  
Vol 64 (7) ◽  
pp. 2883-2889
Author(s):  
Marco M. Nicotra ◽  
Tam W. Nguyen ◽  
Emanuele Garone ◽  
Ilya V. Kolmanovsky

2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Xingge Li ◽  
Gang Li

This article investigates a novel fuzzy-approximation-based nonaffine control strategy for a flexible air-breathing hypersonic vehicle (FHV). Firstly, the nonaffine models are decomposed into an altitude subsystem and a velocity subsystem, and the nonaffine dynamics of the subsystems are processed by using low-pass filters. For the unknown functions and uncertainties in each subsystem, fuzzy approximators are used to approximate the total uncertainties, and norm estimation approach is introduced to reduce the computational complexity of the algorithm. Aiming at the saturation problem of actuator, a saturation auxiliary system is designed to transform the original control problem with input constraints into a new control problem without input constraints. Finally, the superiority of the proposed method is verified by simulation.


2020 ◽  
Vol 133 ◽  
pp. 103621 ◽  
Author(s):  
Shuo Li ◽  
Michaël M.O.I. Ozo ◽  
Christophe De Wagter ◽  
Guido C.H.E. de Croon

Author(s):  
Satoshi Nakano ◽  
Tam W. Nguyen ◽  
Emanuele Garone ◽  
Tatsuya Ibuki ◽  
Mitsuji Sampei

2014 ◽  
Vol 75 ◽  
pp. 41-53 ◽  
Author(s):  
Yonggang Liu ◽  
Datong Qin ◽  
Hong Jiang ◽  
Yi Zhang

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