Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach

This express brief deals with the problem of the state variables regulation in the ball and beam system by applying the discrete-inverse optimal control approach. The ball and beam system model is defined by a set of four-order nonlinear differential equations that are discretized using the forward...

Full description

Autores:
Montoya, Oscar Danilo
Gil-González, Walter
Ramírez-Vanegas, Carlos
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/9543
Acceso en línea:
https://hdl.handle.net/20.500.12585/9543
https://www.mdpi.com/2073-8994/12/8/1359
Palabra clave:
Discrete-inverse optimal control
Ball and beam dynamical system
Asymptotic stability
Passivity-based analysis
Hamiltonian and Lagrangian functions
State variables regulation
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach
title Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach
spellingShingle Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach
Discrete-inverse optimal control
Ball and beam dynamical system
Asymptotic stability
Passivity-based analysis
Hamiltonian and Lagrangian functions
State variables regulation
title_short Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach
title_full Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach
title_fullStr Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach
title_full_unstemmed Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach
title_sort Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach
dc.creator.fl_str_mv Montoya, Oscar Danilo
Gil-González, Walter
Ramírez-Vanegas, Carlos
dc.contributor.author.none.fl_str_mv Montoya, Oscar Danilo
Gil-González, Walter
Ramírez-Vanegas, Carlos
dc.subject.keywords.spa.fl_str_mv Discrete-inverse optimal control
Ball and beam dynamical system
Asymptotic stability
Passivity-based analysis
Hamiltonian and Lagrangian functions
State variables regulation
topic Discrete-inverse optimal control
Ball and beam dynamical system
Asymptotic stability
Passivity-based analysis
Hamiltonian and Lagrangian functions
State variables regulation
description This express brief deals with the problem of the state variables regulation in the ball and beam system by applying the discrete-inverse optimal control approach. The ball and beam system model is defined by a set of four-order nonlinear differential equations that are discretized using the forward difference method. The main advantages of using the discrete-inverse optimal control to regulate state variables in dynamic systems are (i) the control input is an optimal signal as it guarantees the minimum of the Hamiltonian function, (ii) the control signal makes the dynamical system passive, and (iii) the control input ensures asymptotic stability in the sense of Lyapunov. Numerical simulations in the MATLAB environment allow demonstrating the effectiveness and robustness of the studied control design for state variables regulation with a wide gamma of dynamic behaviors as a function of the assigned control gains.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-11-04T21:33:20Z
dc.date.available.none.fl_str_mv 2020-11-04T21:33:20Z
dc.date.issued.none.fl_str_mv 2020-08-14
dc.date.submitted.none.fl_str_mv 2020-11-03
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dc.identifier.citation.spa.fl_str_mv Danilo Montoya, O.; Gil-González, W.; Ramírez-Vanegas, C. Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach. Symmetry 2020, 12, 1359.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/9543
dc.identifier.url.none.fl_str_mv https://www.mdpi.com/2073-8994/12/8/1359
dc.identifier.doi.none.fl_str_mv 10.3390/sym12081359
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Danilo Montoya, O.; Gil-González, W.; Ramírez-Vanegas, C. Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach. Symmetry 2020, 12, 1359.
10.3390/sym12081359
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/9543
https://www.mdpi.com/2073-8994/12/8/1359
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessRights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.cc.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 12 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv Symmetry 2020, 12, 1359; doi:10.3390/sym12081359 Vol 12 no 8
institution Universidad Tecnológica de Bolívar
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spelling Montoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d4480Gil-González, Walterce1f5078-74c6-4b5c-b56a-784f85e52a08Ramírez-Vanegas, Carlos5cbe6c61-0f15-42e9-8b2f-09e810652f702020-11-04T21:33:20Z2020-11-04T21:33:20Z2020-08-142020-11-03Danilo Montoya, O.; Gil-González, W.; Ramírez-Vanegas, C. Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approach. Symmetry 2020, 12, 1359.https://hdl.handle.net/20.500.12585/9543https://www.mdpi.com/2073-8994/12/8/135910.3390/sym12081359Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis express brief deals with the problem of the state variables regulation in the ball and beam system by applying the discrete-inverse optimal control approach. The ball and beam system model is defined by a set of four-order nonlinear differential equations that are discretized using the forward difference method. The main advantages of using the discrete-inverse optimal control to regulate state variables in dynamic systems are (i) the control input is an optimal signal as it guarantees the minimum of the Hamiltonian function, (ii) the control signal makes the dynamical system passive, and (iii) the control input ensures asymptotic stability in the sense of Lyapunov. Numerical simulations in the MATLAB environment allow demonstrating the effectiveness and robustness of the studied control design for state variables regulation with a wide gamma of dynamic behaviors as a function of the assigned control gains.12 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Symmetry 2020, 12, 1359; doi:10.3390/sym12081359 Vol 12 no 8Discrete-Inverse Optimal Control Applied to the Ball and Beam Dynamical System: A Passivity-Based Control Approachinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Discrete-inverse optimal controlBall and beam dynamical systemAsymptotic stabilityPassivity-based analysisHamiltonian and Lagrangian functionsState variables regulationCartagena de IndiasPúblico generalKagami, R.M.; da Costa, G.K.; Uhlmann, T.S.; Mendes, L.A.; Freire, R.Z. A Generic WebLab Control Tuning Experience Using the Ball and Beam Process and Multiobjective Optimization Approach. Information 2020, 11, 132.10.3390/info11030132.Koo, M.S.; Choi, H.L.; Lim, J.T. Adaptive nonlinear control of a ball and beam system using the centrifugal force term. Int. J. Innov. Comput. Inf. Control 2012, 8, 5999–6009Ye, H.; Gui, W.; Yang, C. Novel Stabilization Designs for the Ball-and-Beam System. IFAC Proc. Vol. 2011, 44, 8468–8472. doi:10.3182/20110828-6-it-1002.01725.Rahmat, M.F.; Wahid, H.; Wahab, N.A. Application of intelligent controller in a ball and beam control system. Int. J. Smart Sens. Intell. Syst. 2010, 3, 45–60. doi:10.21307/ijssis-2017-378.Meenakshipriya, B.; Kalpana, K. Modelling and Control of Ball and Beam System using Coefficient Diagram Method (CDM) based PID controller. IFAC Proc. Vol. 2014, 47, 620–626. doi:10.3182/20140313-3-in-3024.00079.Ding, M.; Liu, B.; Wang, L. Position control for ball and beam system based on active disturbance rejection control. Syst. Sci. Control. Eng. 2019, 7, 97–108. doi:10.1080/21642583.2019.1575297.Qi, X.; Li, J.; Xia, Y.; Wan, H. On stability for sampled-data nonlinear ADRC-based control system with application to the ball-beam problem. J. Franklin Inst. 2018, 355, 8537–8553. doi:10.1016/j.jfranklin.2018.09.002Chen, C.C.; Chien, T.L.; Wei, C.L. Application of Feedback Linearization to Tracking and Almost Disturbance Decoupling Control of the AMIRA Ball and Beam System. J. Optim. Theory Appl. 2004, 121, 279–300. doi:10.1023/b:jota.0000037406.99891.b9.Aguilar-Ibañez, C.; Suarez-Castanon, M.S.; de Jesús Rubio, J. Stabilization of the Ball on the Beam System by Means of the Inverse Lyapunov Approach. Math. Probl. Eng. 2012, 2012, 1–13. doi:10.1155/2012/810597.Li, E.; Liang, Z.Z.; Hou, Z.G.; Tan, M. Energy-based balance control approach to the ball and beam system. Int. J. Control 2009, 82, 981–992. doi:10.1080/00207170802061269Kelly, R.; Sandoval, J.; Santibáñez, V. A Novel Estimate of The Domain of Attraction of an IDA-PBC of a Ball and Beam System. IFAC Proc. Vol. 2011, 44, 8463–8467. doi:10.3182/20110828-6-it-1002.00717.Chang, Y.H.; Chang, C.W.; Tao, C.W.; Lin, H.W.; Taur, J.S. Fuzzy sliding-mode control for ball and beam system with fuzzy ant colony optimization. Expert Syst. Appl. 2012, 39, 3624–3633. doi:10.1016/j.eswa.2011.09.052.Castillo, O.; Lizárraga, E.; Soria, J.; Melin, P.; Valdez, F. New approach using ant colony optimization with ant set partition for fuzzy control design applied to the ball and beam system. Inf. Sci. 2015, 294, 203–215. doi:10.1016/j.ins.2014.09.040.Zavala, S.J.; Yu, W.; Li, X. Synchronization of two ball and beam systems with neural compensation. IFAC Proc. Vol. 2008, 41, 12781–12786. doi:10.3182/20080706-5-kr-1001.02162Ornelas, F.; Loukianov, A.G.; Sanchez, E.N. Discrete-time Robust Inverse Optimal Control for a Class of Nonlinear Systems. IFAC Proc. Vol. 2011, 44, 8595–8600. doi:10.3182/20110828-6-it-1002.03386Atkinson, C.; Osseiran, A. Discrete-space time-fractional processes. Fract. Calc. Appl. Anal. 2011, 14. doi:10.2478/s13540-011-0013-9.Carrasco-Gutierrez, C.E.; Sosa, W. A discrete dynamical system and its applications. Pesqui. Oper. 2019, 39, 457–469. doi:10.1590/0101-7438.2019.039.03.0457Sanchez, E.N.; Ornelas-Tellez, F. Discrete-Time Inverse Optimal Control for Nonlinear Systems; CRC Press Taylor and Francis Group: Boca Raton, FL, USA, 2017.Galor, O. Discrete Dynamical Systems; Springer: Berlin/Heidelberg, Germany, 2007. doi:10.1007/3-540-36776-4Gil-González, W.; Serra, F.M.; Montoya, O.D.; Ramírez, C.A.; Orozco-Henao, C. Direct Power Compensation in AC Distribution Networks with SCES Systems via PI-PBC Approach. 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