Sliding surface optimization via regional pole placement for a class of nonlinear systems

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Arıcan, Ahmet Çağrı
Çopur, Engin Hasan
Inalhan, Gokhan
Salamci, Metin U.

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2372-1618

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Arıcan AC, Çopur EH, Inalhan G, Salamci MU. (2023) Sliding surface optimization via regional pole placement for a class of nonlinear systems. In: 2023 27th International Conference on System Theory, Control and Computing (ICSTCC), 11-13 October 2023, Timisoara, Romania

Abstract

In this paper, a new approach is introduced which combines Eigenvalue Assignment, State Dependent Riccati Equation (SDRE) and Sliding Mode Control (SMC) methods for nonlinear systems. In the classical SDRE based SMC (SDRESMC) approach, a nonlinear system is frozen at each time instant to obtain a linear-like structure model that is used to design a sliding surface (SS) at each time instant. This mechanism produces a state-dependent SS to hold the states on the SS. The approach proposed here is built on this mechanism and offers a new way to design a state-dependent SS for nonlinear systems so that the pointwise eigenvalues of the closed-loop system matrix of the control-free dynamics in the regular form can be kept in a specified disk. This gives a great advantage to shape the transient response characteristics. The performance of the nonlinear controller approach proposed here is investigated in simulations.

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Github

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nonlinear systems, eigenvalue assignment, sliding mode control, sliding surface design

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Attribution-NonCommercial 4.0 International

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