Nonlinear control strategies for a UAV carrying a load with swing attenuation

ME Guerrero-Sánchez, R Lozano, P Castillo… - Applied Mathematical …, 2021 - Elsevier
Two novel nonlinear control schemes for Unmanned Aerial Vehicles (UAV) carrying a load
and their comparative results are presented in this paper. The goal is to carry the load to a …

An online trajectory planning approach for a quadrotor UAV with a slung payload

B Xian, S Wang, S Yang - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
In this article, a novel online antiswing trajectory planning approach is proposed for a
quadrotor slung-load system, which is an underacuated, strong coupling, and nonlinear …

Unmanned aerial vehicles motion control with fuzzy tuning of cascaded-pid gains

FAA Andrade, IP Guedes, GF Carvalho, ARL Zachi… - Machines, 2021 - mdpi.com
One of the main challenges of maneuvering an Unmanned Aerial Vehicle (UAV) to keep a
stabilized flight is dealing with its fast and highly coupled nonlinear dynamics. There are …

Automated tuning of nonlinear model predictive controller by reinforcement learning

M Mehndiratta, E Camci… - 2018 IEEE/RSJ …, 2018 - ieeexplore.ieee.org
One of the major challenges of model predictive control (MPC) for robotic applications is the
non-trivial weight tuning process while crafting the objective function. This process is often …

Adaptive predictive control of a differential drive robot tuned with reinforcement learning

PT Jardine, M Kogan, SN Givigi… - International Journal of …, 2019 - Wiley Online Library
One of the most important steps in designing a model predictive control strategy is selecting
appropriate parameters for the relative weights of the objective function. Typically, these are …

Disturbances and coupling compensation for trajectory tracking of a multi-link aerial robot

JJ Castillo-Zamora, J Escareño… - … on Control, Decision …, 2019 - ieeexplore.ieee.org
The actual paper presents the concept of a multi-link unmanned aerial system (ML-UAS)
intended to transport multi-cargo payload. The mathematical model is obtained through the …

[PDF][PDF] Model predictive control for constrained robot manipulator visual servoing tuned by reinforcement learning

J Li, X Peng, B Li, V Sreeram, J Wu… - Mathematical …, 2023 - aimspress.com
For constrained image-based visual servoing (IBVS) of robot manipulators, a model
predictive control (MPC) strategy tuned by reinforcement learning (RL) is proposed in this …

Autonomous assembly of structures using pinning control and formation algorithms

KM Cabral, SN Givigi, PT Jardine - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In this paper, we propose an autonomous construction system for building structures
composed of multiple mobile robots. We use formation control techniques to guide the …

Modeling and control of an aerial multi-cargo system: Robust acquiring and transport operations

JJ Castillo-Zamora, J Escareno… - 2019 18th European …, 2019 - ieeexplore.ieee.org
In this paper, we introduce the concept of a multilink unmanned aerial system (ML-UAS)
designed for multi-cargo transportation tasks. Such system features three links who are …

Nonlinear control of a multilink aerial system and asekf-based disturbances compensation

JJC Zamora, J Escareno, I Boussaada… - … on Aerospace and …, 2020 - ieeexplore.ieee.org
The actual article presents the modeling and control of a multilink unmanned aerial system
whose dynamics is computed by means of the Euler-Lagrange approach. The …