Motion Planning and Robust Tracking for the Heat Equation using Boundary Control

TL;DR

This paper develops a boundary control method for the heat equation that achieves robust output tracking and disturbance rejection, ensuring stability and bounded error in uncertain conditions.

Contribution

It introduces a boundary control strategy combining flatness, Lyapunov, and PI feedback with discontinuous disturbance rejection for heat equations with uncertainties.

Findings

Global exponential stability of the error dynamics.

Effective disturbance rejection with bounded error.

Robust performance demonstrated in simulations.

Abstract

Robust output tracking is addressed in this paper for a heat 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 feedback plus a discontinuous component responsible for rejecting matched disturbances with \textit{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-in-time external disturbances and parameter uncertainties. For the case when the motion planning is performed over the uncertain plant, an exponential Input-to-State Stability is obtained, preserving the boundedness of the tracking error norm. 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 closed-loop system, thus designed, is illustrated in simulations under different kinds of reference trajectories in the presence of external disturbances and parameter uncertainties.