A CLOSED LOOP NEURAL NETWORK AUTOMATIC TUNER

摘要

A closed loop neural network based autotuner (66) develops optimized proportional, integral and/or derivative parameters (18) based on the outputs (u, y, r, e...) of other elements in the loop. Adjustments are initiated by making a step change in the set-point which may be done by a user or automatically. A Smith predictor (3 1) may also be employed.