LQR controller design for quad‐rotor helicopters

E Okyere, A Bousbaine, GT Poyi… - The Journal of …, 2019 - Wiley Online Library
This paper presents an analysis and performance of a LQR control algorithm for quadrotor
helicopters. For a successful analysis, first the dynamic model has been developed for the …

Improved LQR control using PSO optimization and Kalman filter estimator

H Maghfiroh, M Nizam, M Anwar, A Ma'Arif - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization

K Hassani, WS Lee - Applied Soft Computing, 2016 - Elsevier
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 …

Modeling and Control of a Double Inverted Pendulum using LQR with Parameter Optimization through GA and PSO

MK Habib, SA Ayankoso - 2020 21st International Conference …, 2020 - ieeexplore.ieee.org
An inverted pendulum system has potential applications in different domains that motivate
researchers for new innovative development. An inverted pendulum system is an …

Uncooperative spacecraft relative navigation with LIDAR-based unscented Kalman filter

R Opromolla, A Nocerino - IEEE Access, 2019 - ieeexplore.ieee.org
Autonomous relative navigation is a critical functionality which needs to be developed to
enable safe maneuvers of a servicing spacecraft (chaser) in close-proximity with respect to …

[PDF][PDF] Optimal tuning of a LQR controller for an inverted pendulum using the bees algorithm

MA Sen, M Kalyoncu - J Autom Control Eng, 2016 - academia.edu
The paper presents the design of a Linear Quadratic Regulator (LQR) controller for an
Inverted Pendulum (IP) system using The Bees Algorithm (BA) to provide optimal …

[PDF][PDF] Optimal tuning of linear quadratic regulator controller using ant colony optimization algorithm for position control of a permanent magnet dc motor

LT Rasheed - IRAQI JOURNAL OF COMPUTERS …, 2020 - iasj.net
This paper presents the design of an optimal Linear Quadratic Regulator (LQR) controller
using Ant Colony Optimization (ACO) and particle swarm optimization (PSO) methods for …

[HTML][HTML] Semitrailer steering control for improved articulated vehicle manoeuvrability and stability

S Milani, Y Samim Ünlüsoy, H Marzbani… - Nonlinear …, 2019 - degruyter.com
Articulated heavy vehicles have some specific performance limitations and safety risks due
to their special dynamic characteristics. They show poor manoeuvrability at low speeds and …

Deterministic LQR controller for dc-dc Buck converter

SA Lindiya, K Vijayarekha… - 2016 Biennial International …, 2016 - ieeexplore.ieee.org
A closed loop control system based on optimal control by Linear Quadratic Regulator whose
weighting matrices obtained by deterministic approach for dc-dc Buck converter is …

Model-matching fractional-order controller design using AGTM/AGMP matching technique for SISO/MIMO linear systems

S Damodaran, TKS Kumar, AP Sudheer - IEEE Access, 2019 - ieeexplore.ieee.org
A new two-stage method is proposed for the model-matching fractional-order (FO) controller
(FOC) design for the single-input single-output (SISO)/multiple-input multiple-output (MIMO) …