Sliding mode control design based on the state-dependent Riccati equation: theoretical and experimental implementation
In this paper, a suboptimal sliding mode control method is derived from combination of the sliding mode control (SMC) and the state-dependent Riccati equation (SDRE) technique, applied for a class of nonlinear closed-loop systems. One of the distinguished features of this control method is its robus...
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Published in | International journal of control Vol. 92; no. 9; pp. 2136 - 2149 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis
02.09.2019
Taylor & Francis Ltd |
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Abstract | In this paper, a suboptimal sliding mode control method is derived from combination of the sliding mode control (SMC) and the state-dependent Riccati equation (SDRE) technique, applied for a class of nonlinear closed-loop systems. One of the distinguished features of this control method is its robustness towards uncertainty. Due to lack of optimality in SMC method, in this paper, a robust and suboptimal method is presented by considering the SDRE in design of the sliding surface in two types of: algebraic and integral sliding surfaces. In addition, due to the use of the state-dependent differential Riccati equation in the integral form of sliding surface, proposed method is able to provide a robust attitude with desired finite-time control option. The sensitivity of various percentage of uncertainty in the physical structure of the system is studied and control strategies for general manipulators are provided. The proposed control structure was implemented on Scout robot theoretically and practically by the LabVIEW software; and the results were compared by considering the uncertainty in its structure. In comparison with conventional SMC, the proposed method reduced the required time to reach the sliding surface almost 50%. |
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AbstractList | In this paper, a suboptimal sliding mode control method is derived from combination of the sliding mode control (SMC) and the state-dependent Riccati equation (SDRE) technique, applied for a class of nonlinear closed-loop systems. One of the distinguished features of this control method is its robustness towards uncertainty. Due to lack of optimality in SMC method, in this paper, a robust and suboptimal method is presented by considering the SDRE in design of the sliding surface in two types of: algebraic and integral sliding surfaces. In addition, due to the use of the state-dependent differential Riccati equation in the integral form of sliding surface, proposed method is able to provide a robust attitude with desired finite-time control option. The sensitivity of various percentage of uncertainty in the physical structure of the system is studied and control strategies for general manipulators are provided. The proposed control structure was implemented on Scout robot theoretically and practically by the LabVIEW software; and the results were compared by considering the uncertainty in its structure. In comparison with conventional SMC, the proposed method reduced the required time to reach the sliding surface almost 50%. |
Author | Korayem, M. H. Nekoo, S. R. Korayem, A. H. |
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Cites_doi | 10.1109/CCA.2010.5611160 10.1080/00207179.2013.868610 10.1016/j.isatra.2015.02.008 10.1109/ICMA.2007.4303548 10.1109/CCA.1996.558705 10.1109/TIA.2017.2740304 10.1016/j.isatra.2014.06.006 10.1007/s12206-015-0349-x 10.1109/ICRoM.2014.6991015 10.1109/CDC.2003.1272569 10.1109/CCA.2009.5281130 10.3182/20070625-5-FR-2916.00131 10.1109/WCSE.2009.812 10.1111/j.1934-6093.2004.tb00208.x 10.1109/CMI.2016.7413771 |
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SubjectTerms | Differential equations Feedback control integral sliding surface Integrals Nonlinear systems Riccati equation Robot arms Robust control SDDRE SDRE Sliding mode control Suboptimal sliding mode controller Uncertainty |
Title | Sliding mode control design based on the state-dependent Riccati equation: theoretical and experimental implementation |
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