LQR based optimal tuning of PID controller for trajectory tracking of magnetic levitation system
E. Vinodh Kumar,Jovitha Jerome +1 more
TLDR
In this paper, the stabilization and trajectory tracking of magnetic levitation system using PID controller whose controller gains are determined via Linear Quadratic Regulator (LQR) approach is considered.About:
This article is published in Procedia Engineering.The article was published on 2013-01-01 and is currently open access. It has received 75 citations till now. The article focuses on the topics: Linear-quadratic regulator & PID controller.read more
Citations
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Journal ArticleDOI
Optimized PID Controller for Magnetic Levitation System
TL;DR: The effectiveness of the proposed controller is validated by comparing it with the classical tuning criterion and the system performance is improved in terms of time & frequency domain by optimizing the parameters of the PID controller using grey wolf optimizer (GWO).
Journal ArticleDOI
Design and Control of Magnetic Levitation System by Optimizing Fractional Order PID Controller Using Ant Colony Optimization Algorithm
Abdullah Mughees,S. A. Mohsin +1 more
TL;DR: FopID controller, due to its extra tuned parameters, has shown extremely efficient results in comparison to the traditional IOPID controller.
Journal ArticleDOI
Improved adaptive fuzzy backstepping control of a magnetic levitation system based on Symbiotic Organism Search
TL;DR: An improved adaptive fuzzy backstepping control for systems with uncertain input nonlinear function (uncertain parameters and structure) is proposed and applies to a magnetic levitation system, which is a typical representative of such systems.
Journal ArticleDOI
Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization
Kaveh Hassani,Won-Sook Lee +1 more
TL;DR: An aggregated dynamic weighting criterion is introduced that dynamically combines the soft and hard constraints with control objectives to provide the designer with a set of Pareto optimal solutions and lets her to decide the target solution based on practical preferences.
Journal ArticleDOI
Performance enhancement of magnetic levitation system using teaching learning based optimization
TL;DR: The potency of evolution based optimization techniques in the sense of enhancing the system’s performance is demonstrated by comparing it with the conventional control techniques.
References
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Journal ArticleDOI
Modeling and nonlinear control of magnetic levitation systems
A. El Hajjaji,Mustapha Ouladsine +1 more
TL;DR: A nonlinear model for magnetic levitation systems which is validated with experimental measurements and a real-time implementation of this model based on differential geometry is developed.
Journal ArticleDOI
Linear and nonlinear state-space controllers for magnetic levitation
Walter Barie,John Chiasson +1 more
TL;DR: The problem of precisely controlling (within sensor resolution) the height of a steel ball above the ground by levitating it against the force of gravity using an electromagnet using a standard linear state feedback controller.
Journal ArticleDOI
Sliding mode control of a magnetic levitation system
TL;DR: Sliding mode control schemes of the static and dynamic types are proposed for the control of a magnetic levitation system in this paper, which guarantee the asymptotic regulation of the states of the system to their desired values.
Journal ArticleDOI
Nonlinear control of a magnetic levitation system without premagnetization
Ali Charara,J. De Miras,B. Caron +2 more
TL;DR: A nonlinear model of an inertial wheel supported by active magnetic bearings is presented and a nonlinear controller based on input-output linearization is then derived to stabilize this model.
Journal ArticleDOI
LQR based improved discrete PID controller design via optimum selection of weighting matrices using fractional order integral performance index
TL;DR: The impact of fractional order (as any arbitrary real order) cost function on the LQR tuned PID control loops is highlighted in the present work, along with the achievable cost of control.
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Linear and nonlinear state-space controllers for magnetic levitation
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