Robust Tracking for the Diffusion Equation using Sliding-Mode Boundary Control.

CDC(2022)

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摘要
Robust output tracking is addressed in this paper for a diffusion equation with Neumann boundary conditions and anti-collocated boundary input and output. The desired reference tracking is solved using the well-known flatness and Lyapunov approaches. The reference profile is obtained by solving the motion planning problem for the nominal plant. To robustify the closed-loop system in the presence of the disturbances and uncertainties, it is then augmented with PI feed-back plus a discontinuous component responsible for rejecting matched disturbances with a priori known magnitude bounds. Such control law only requires the information of the system at the same boundary as the control input is located. The resulting dynamic controller globally exponentially stabilizes the error dynamics while also attenuating the influence of Lipschitz-intime external disturbances and parameter uncertainties. The proposed controller relies on a discontinuous term that however passes through an integrator, thereby minimizing the chattering effect in the plant dynamics. The performance of the closedloop system, thus designed, is illustrated in simulations under different kinds of reference trajectories in the presence of external disturbances and parameter uncertainties.
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关键词
anti-collocated boundary input,anti-collocated boundary output,chattering effect,closed-loop system,control design,control law,diffusion equation,discontinuous component,discontinuous term,dynamic controller,error dynamics,first-order parabolic partial differential equation,global exponential stability,Lipschitz-in-time external disturbances,Lyapunov approaches,magnitude bounds,motion planning,Neumann boundary conditions,nominal plant,parameter uncertainties,PI feedback,plant dynamics,reference profile,reference tracking,reference trajectories,robust output tracking,sliding-mode boundary control
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