نتایج جستجو برای: linear quadratic regulator lqr

تعداد نتایج: 587932  

2016
Mahdi Kiani Hassan Salarieh Aria Alasty Mahdi Darbandi

Abstract—The design and implementation of the hybrid control method for a three-pole active magnetic bearing (AMB) is proposed in this paper. The system is inherently nonlinear and conventional nonlinear controllers are a little complicated, while the proposed hybrid controller has a piecewise linear form, i.e. linear in each subregion. A state-feedback hybrid controller is designed in this stu...

Journal: :Aerotecnica Missili & Spazio 2023

Abstract This paper addresses the development of an attitude determination and control system (ADCS) for a sounding rocket using thrust vector (TVC). To design ADCS, non-linear 6 degrees-of-freedom (DoF) model dynamics kinematics is deduced implemented in simulation environment. An optimal controller designed linear quadratic regulator (LQR) with additional integral action (LQI), relying on der...

2005
Girish Chowdhary

The problem of designing an Extended Regulator is defined as designing an algorithm that can adjust the optimal regulator gains for a time-variant linear system appropriately to match the variations in system parameters with time. Due to conditions of positive definiteness on the unknown variable in the Riccati equation for quadratic optimal control it is possible to show that repetitive iterat...

2016
Guofan Wu Koushil Sreenath

In this paper, we propose a variation-based method to linearize the nonlinear dynamics of robotic systems, whose configuration spaces contain the manifolds S and SO(3), along dynamically-feasible reference trajectories. The proposed variation-based linearization results in an implicitly time-varying linear system, representing the error dynamics, that is globally valid. We illustrate this metho...

Journal: :IEEE Access 2015
Guofan Wu Koushil Sreenath

In this paper, we propose a variation-based method to linearize the nonlinear dynamics of robotic systems, whose configuration spaces contain the manifolds S and SO(3), along dynamically-feasible reference trajectories. The proposed variation-based linearization results in an implicitly time-varying linear system, representing the error dynamics, that is globally valid. We illustrate this metho...

2012
S. M. Shariatmadar M. Manteghi M. Tajdari

Non-linear characteristic of tire forces is the main cause of vehicle lateral dynamics instability, while direct yaw moment control is an effective method to recover the vehicle stability. In this paper, an optimal linear quadratic regulator (LQR) controller for roll-yaw dynamics to articulated heavy vehicles is developed. For this purpose, the equations of motion obtained by the MATLAB softwar...

2015
Mohammad Ababneh

In the present paper, Linear Quadratic Regulator (LQR) and dual properties are employed to solve the observer-based synchronization problem. The synchronization is designed for nominal chaotic system, then it is applied to systems with uncertain parameters and systems with time-delays to investigate its tolerance to such systems. Moreover, to solve the nonlinear problem, which exist in chaotic ...

Journal: :Aerospace 2021

A smart-skin antenna structure is investigated for active flutter control with piezoelectric sensors and actuators. The skin designed as a multilayer sandwich dielectric polymer to perform the role of or radar structures. governing equations are developed according first-order shear deformation theory, von Karman strain–displacement relationships used moderate geometrical nonlinearity. To consi...

Journal: :Applied sciences 2022

To resolve the problem of high-precision trajectory tracking control under interference conditions in a missile’s mid-guidance phase, according to constructed nominal trajectory, an improved adaptive high-order sliding mode controller (AHSTC) is proposed. In this method, open-loop trajectories are established nonlinear programming and Gaussian pseudospectra method. A developed by designing surf...

2012
Mehdi Nasri Hossein Nezamabadi Malihe Maghfoori

This Paper presents a particle swarm optimization (PSO) method for determining the optimal proportional-integralderivative (PID) controller parameters, for speed control of a linear brushless DC motor. The proposed approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The brushless DC motor is modelled in Simulink and...

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