Szczegóły

Tytuł artykułu

Algebraic Riccati equation based Q and R matrices selection algorithm for optimal LQR applied to tracking control of 3rd order magnetic levitation system

Tytuł czasopisma

Archives of Electrical Engineering

Rocznik

2016

Wolumin

vol. 65

Numer

No 1 March

Autorzy publikacji

Wydział PAN

Nauki Techniczne

Wydawca

Polish Academy of Sciences

Data

2016

Identyfikator

ISSN: 1427-4221 ; eISSN: 2300-2506

Referencje

Bevilacqua (2009), Development and experimentation of LQR / APF guidance and control for autonomous proximity maneuvers of multiple spacecraft, Acta Astronautica, 68, 1260, doi.org/10.1016/j.actaastro.2010.08.012 ; Das (2013), LQR based improved discrete PID controller design via optimum selection of weighting matrices using fractional order integral performance index Mathematical Modelling, Applied, 37, 4253. ; Solihin (2010), Particle Swam Optimization for Stabilizing Controller of a Self - erecting Linear Inverted Pendulum of Electrical and Electronic Systems, International Journal Research, 3, 410. ; Tsai (2013), Variable feedback gain control design based on particle swarm optimizer for automatic fighter tracking problems, Applied Soft Computing, 13, 58, doi.org/10.1016/j.asoc.2012.07.032 ; Zhang (2012), LQR self - adjusting based control for the planar double inverted pendulum Procedia Part, Physics, 24, 1669. ; Zaafouri (2002), LQG / LTR control of a direct current motor of the IEEE International Conference on System , Man and Cybernetics, Proceedings Tunisia, 5, 6. ; Balandat (2012), On infinite horizon switched LQR problems with state and control constraints and Control Letters, Systems, 61, 464. ; Hasanzadeh (2011), An LQR based optimal tuning method for IMPbased VSI controller for electric vehicle traction drives conference on vehicle power and propulsion conference Chicago, IEEE, 1. ; Vinodh (2014), An Adaptive Particle Swarm Optimization Algorithm for Robust Trajectory Tracking of a Class of Under Actuated System of Electrical, Archives Engineering, 63, 345. ; Ling Wang (2014), MBPOA - based LQR controller and its application to the double - parallel inverted pendulum system Applications of Artificial, Engineering Intelligence, 36, 262. ; Fonseca Neto (2010), da Nogueira da eural - Genetic Synthesis for State - Space Controllers Based on Linear Quadratic Regulator Design for Eigenstructure Assignment Transactions on Systems , Man , and Cybernetics :, IEEE Part B Cybernetics, 40, 266, doi.org/10.1109/TSMCB.2009.2013722 ; Tao (2010), Design of a parallel distributed fuzzy LQR controller for the twin rotor multi - input multi - output system Sets and Systems, Fuzzy, 15, 161. ; Ali (2011), Design and implementation of LQR / LQG strategies for oxygen stoichiometry control in PEM fuel cells based systems of Power, Journal Sources, 9, 196. ; Oral (2010), A novel method on selection of Q And R matrices in the theory of optimal control of Systems Control, International Journal, 1, 84. ; Usta (2011), Aircraft roll control system using LQR and fuzzy logic controller conference on Innovations in Intelligent Systems and Applications Istanbul pp, IEEE, 223. ; Anderson (2007), Optimal Control : Linear Quadratic Methods Corporation, Courier. ; Muthairi (2004), Sliding Mode Control of a Magnetic Levitation system Problems in Engineering, Mathematical, 93. ; Keshmiri (2012), Modeling and control of ball and beam system using model based and non - model based control approaches on Smart Sensing and Intelligent Systems, International Journal, 5, 14. ; Ang (2002), Weighted energy linear quadratic regulator vibration control of piezoelectric composite plates of Smart Material Structure, Journal, 11, 98.

DOI

10.1515/aee-2016-0012

×