Title :
Flatness of Semilinear Parabolic PDEs—A Generalized Cauchy–Kowalevski Approach
Author :
Schorkhuber, Birgit ; Meurer, Tim ; Jungel, Ansgar
Author_Institution :
Inst. for Anal. & Sci. Comput., Vienna Univ. of Technol., Vienna, Austria
Abstract :
A generalized Cauchy-Kowalevski approach is proposed for flatness-based trajectory planning for boundary controlled semilinear systems of partial differential equations (PDEs) in a one-dimensional spatial domain. For this, the ansatz presented in “Trajectory planning for boundary controlled parabolic PDEs with varying parameters on higher-dimensional spatial domains” (T. Meurer and A. Kugi, IEEE Trans. Autom. Control, vol. 54, no, 8, pp. 1854-1868, Aug. 2009) using formal integration is generalized towards a unified design framework, which covers linear and semilinear PDEs including rather broad classes of nonlinearities arising in applications. In addition, an efficient semi-numerical solution of the implicit state and input parametrizations is developed and evaluated in different scenarios. Simulation results for various types of nonlinearities and a tubular reactor model described by a system of semilinear reaction-diffusion-convection equations illustrate the applicability of the proposed method.
Keywords :
control nonlinearities; initial value problems; linear systems; parabolic equations; partial differential equations; path planning; trajectory control; ansatz; boundary controlled semilinear systems; flatness-based trajectory planning; formal integration; generalized Cauchy-Kowalevski approach; implicit state parametrizations; initial-boundary-value problem; input parametrizations; linear PDE; nonlinearities; one-dimensional spatial domain; partial differential equations; semilinear parabolic PDE flatness; semilinear reaction-diffusion-convection equations; seminumerical solution; tubular reactor model; unified design framework; Abstracts; Convergence; Equations; Mathematical model; Planning; Steady-state; Trajectory; Distributed parameter systems; flatness; nonlinear control systems; partial differential equations (PDEs); trajectory planning; tubular reactor;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2013.2256013