Feedback Control Methodologies for Nonlinear Systems |
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Authors: | Beeler S. C. Tran H. T. Banks H. T. |
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Affiliation: | (1) Center for Research in Scientific Computation, North Carolina State University, Raleigh, North Carolina;(2) Center for Research in Scientific Computation, North Carolina State University, Raleigh, North Carolina;(3) Center for Research in Scientific Computation, North Carolina State University, Raleigh, North Carolina |
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Abstract: | A number of computational methods have been proposed in the literature to design and synthesize feedback controls when the plant is modeled by nonlinear dynamics. However, it is not immediately clear which is the best method for a given problem; this may depend on the nature of the nonlinearities, size of the system, whether the amount of control used or time needed for the method is a concern, and other factors. In this paper, a comprehensive comparison study of five methods for the synthesis of nonlinear control systems is carried out. The performance of the methods on several test problems are studied, and some recommendations are made as to which feedback control method is best to use under various conditions. |
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Keywords: | nonlinear optimal feedback control Hamilton– Jacobi– Bellman equation state-dependent Riccati equation interpolation of open-loop controls |
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