State Observer-Based Prescribed Performance Control for MDF Continuous Hot Pressing System

This paper investigates the problem of position tracking control for a medium density fiberboard (MDF) continuous hot pressing electro-hydraulic servo system (EHSS). A novel adaptive neural output feedback control scheme is proposed that seeks to achieve high-precision tracking control with guaranteed transient performance, in the presence of unmeasured states, unknown nonlinearities, and external disturbance. Specifically, in the proposed control framework, a reduced-order observer (ROO) is first designed to estimate the unmeasured system states. Subsequently, an adaptive controller is constructively synthesized by incorporating the designed ROO into dynamic surface control design. It is shown that the derived controller can enable the tracking error to converge to a preset arbitrarily small residual set with prescribed convergence rate and maximum overshoot. Finally, simulation results are given to verify the effectiveness of the developed approach.

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