METHOD FOR ADAPTIVE AUTOMATIC SELF-TUNING OF MULTI-PARAMETER AUTOMATIC CONTROL SYSTEMS FOR OPTIMAL CONDITIONS

摘要

FIELD: automatic optimization of multi-parameter controlled objects characterized with one-extreme quality function based upon any optimum criterion.;SUBSTANCE: in space of optimized parameters stroke is made from initial state in random direction according to normal distribution law in several separate parallel circuits; selecting the best line on base of value of quality function. If value of quality function in new state is equal to or exceeds quality function value in initial point, system returns to initial state. Then random stroke is again formed from old state in each parallel circuit. If quality function value in new state is less than value of said function in initial point, then initial state is taken as new one and again random stroke is formed from new initial state for each parallel circuit.;EFFECT: improved quick response of searching.;1 dwg, 2 tbl