Abstract
Motion planning refers to the design of an open-loop or feedforward control to realize prescribed desired paths for the system states or outputs. For distributed-parameter systems described by partial differential equations (PDEs), this requires to take into account the spatial-temporal system dynamics. Here, flatness-based techniques provide a systematic inversion-based motion planning approach, which is based on the parametrization of any system variable by means of a flat or basic output. With this, the motion planning problem can be solved rather intuitively as is illustrated for linear and semilinear PDEs.
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Bibliography
Dunbar W, Petit N, Rouchon P, Martin P (2003) Motion planning for a nonlinear Stefan problem. ESAIM Control Optim Calculus Var 9:275–296
Fliess M, Lévine J, Martin P, Rouchon P (1995) Flatness and defect of non–linear systems: introductory theory and examples. Int J Control 61:1327–1361
Fliess M, Mounier H, Rouchon P, Rudolph J (1997) Systèmes linéaires sur les opérateurs de Mikusiński et commande d’une poutre flexible. ESAIM Proc 2:183–193
Laroche B, Martin P, Rouchon P (2000) Motion planning for the heat equation. Int J Robust Nonlinear Control 10:629–643
Lynch A, Rudolph J (2002) Flatness-based boundary control of a class of quasilinear parabolic distributed parameter systems. Int J Control 75(15):1219–1230
Meurer T (2011) Flatness-based trajectory planning for diffusion-reaction systems in a parallelepipedon – a spectral approach. Automatica 47(5):935–949
Meurer T (2013) Control of higher-dimensional PDEs: flatness and backstepping designs. Communications and control engineering series. Springer, Berlin
Meurer T, Krstic M (2011) Finite-time multi-agent deployment: a nonlinear PDE motion planning approach. Automatica 47(11):2534–2542
Meurer T, Kugi A (2009) Trajectory planning for boundary controlled parabolic PDEs with varying parameters on higher-dimensional spatial domains. IEEE Trans Autom Control 54(8): 1854–1868
Meurer T, Zeitz M (2005) Feedforward and feedback tracking control of nonlinear diffusion-convection-reaction systems using summability methods. Ind Eng Chem Res 44:2532–2548
Petit N, Rouchon P (2001) Flatness of heavy chain systems. SIAM J Control Optim 40(2):475–495
Petit N, Rouchon P (2002) Dynamics and solutions to some control problems for water-tank systems. IEEE Trans Autom Control 47(4):594–609
Rodino L (1993) Linear partial differential operators in gevrey spaces. World Scientific, Singapore
Rouchon P (2001) Motion planning, equivalence, and infinite dimensional systems. Int J Appl Math Comput Sci 11:165–188
Rudolph J (2003) Flatness based control of distributed parameter systems. Berichte aus der Steuerungs– und Regelungstechnik. Shaker–Verlag, Aachen
Rudolph J, Woittennek F (2008) Motion planning and open loop control design for linear distributed parameter systems with lumped controls. Int J Control 81(3):457–474
Schörkhuber B, Meurer T, Jüngel A (2013) Flatness of semilinear parabolic PDEs – a generalized Cauchy-Kowalevski approach. IEEE Trans Autom Control 58(9):2277–2291
Schröck J, Meurer T, Kugi A (2013) Motion planning for Piezo–actuated flexible structures: modeling, design, and experiment. IEEE Trans Control Syst Technol 21(3):807–819
Woittennek F, Mounier H (2010) Controllability of networks of spatially one-dimensional second order P.D.E. – an algebraic approach. SIAM J Control Optim 48(6):3882–3902
Woittennek F, Rudolph J (2003) Motion planning for a class of boundary controlled linear hyperbolic PDE’s involving finite distributed delays. ESAIM Control Optim Calculus Var 9: 419–435
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Meurer, T. (2015). Motion Planning for PDEs. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5058-9_14
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DOI: https://doi.org/10.1007/978-1-4471-5058-9_14
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