[HTML][HTML] Robust LQR and LQR-PI control strategies based on adaptive weighting matrix selection for a UAV position and attitude tracking control
AS Elkhatem, SN Engin - Alexandria Engineering Journal, 2022 - Elsevier
Unmanned aerial vehicles (UAVs) are subject to the wind and other environmental
disturbances that can destabilize them. The high performance and robustness of the Linear …
disturbances that can destabilize them. The high performance and robustness of the Linear …
Improved LQR control using PSO optimization and Kalman filter estimator
The electric motor is a device that converts electrical power into mechanical power. The DC
motor has some advantages compared to the AC motor on its easier way to control the …
motor has some advantages compared to the AC motor on its easier way to control the …
Comprehensive Review of Metaheuristic Algorithms (MAs) for Optimal Control (OCl) Improvement
Optimal control (OCl) can be traced back to the 1960s when it was utilised for solving an
optimisation problem (OP). In the OCl technique, a stable controller can be obtained by …
optimisation problem (OP). In the OCl technique, a stable controller can be obtained by …
LQG controller design for a quadrotor UAV based on particle swarm optimisation
R Fessi, S Bouallègue - International Journal of Automation …, 2019 - inderscienceonline.com
This paper deals with the modelling and the linear quadratic Gaussian (LQG) control design
of a quadrotor unmanned aerial vehicle (UAV) using different particle swarm optimisation …
of a quadrotor unmanned aerial vehicle (UAV) using different particle swarm optimisation …
Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization
A novel and generic multi-objective design paradigm is proposed which utilizes quantum-
behaved PSO (QPSO) for deciding the optimal configuration of the LQR controller for a given …
behaved PSO (QPSO) for deciding the optimal configuration of the LQR controller for a given …
Tuning of LQR-PID controller to control parallel manipulator
The paper presents mathematical modeling and optimal path control of a 3-DOF Maryland
manipulator. Three dissimilar and consecutive paths are taken under observation, and …
manipulator. Three dissimilar and consecutive paths are taken under observation, and …
[PDF][PDF] Optimal tuning of linear quadratic regulators using quantum particle swarm optimization
Linear Quadratic Regulator (LQR) is an optimal multivariable feedback control approach that
minimizes the excursion in state trajectories of a system while requiring minimum controller …
minimizes the excursion in state trajectories of a system while requiring minimum controller …
Thrust vector controller comparison for a finless rocket
L Sopegno, P Livreri, M Stefanovic, KP Valavanis - Machines, 2023 - mdpi.com
The paper focuses on comparing applicability, tuning, and performance of different
controllers implemented and tested on a finless rocket during its boost phase. The objective …
controllers implemented and tested on a finless rocket during its boost phase. The objective …
Dynamics modeling and advanced metaheuristics based LQG controller design for a Quad Tilt Wing UAV
K Benkhoud, S Bouallègue - International Journal of Dynamics and …, 2018 - Springer
This paper deals with the modelling and advanced metaheuristics-based tuning of a Linear
Quadratic Gaussian (LQG) controller for a particular class of convertible Unmanned Aerial …
Quadratic Gaussian (LQG) controller for a particular class of convertible Unmanned Aerial …
Research on high-speed catamaran motion reduction with semi-active control of flexible pontoon
J Li, Z Li, Y Wu, X Xiong, Z Li, W Xiong - Journal of Marine Science and …, 2023 - mdpi.com
A high-speed catamaran with a suspension system and flexible pontoons to reduce motion
is proposed, and the vertical motion characteristics of the vessel are investigated. The …
is proposed, and the vertical motion characteristics of the vessel are investigated. The …