Reconfigurable internal model control based on adaptive lattice filtering Original Research Article

In this paper a reconfigurable adaptive control (RAC) algorithm is presented. The algorithm relies on lattice filtering and is suitable for linear discrete jump systems. The utilized lattice filter identifies recursively the system’s dynamics as an autoregressive model through the transfer function’s reflection coefficients. In addition, the system’s order is monitored through the magnitude of the estimated reflection coefficients. An internal model control (IMC) structure is employed, where the stable-inverse of the filter is utilized in the forward path in cascade with a gain compensator and a lowpass detuning filter. Upon sudden variations of the estimated system’s order the RA controller reconfigures its structure and calculates the command signal based on the IMC principle. Simulation studies are used to investigate the efficacy of the suggested scheme.