On system identification using the closed-loop observations

Abstract

The aim of the given paper is development of a joint input-output approach and its comparison with a direct one in the case of an additive correlated noise acting on the output of the system (Fig. 1), when the prediction error method is applied to solve the closed-loop identification problem by processing observations. In the case of the known regulator, the two-stage method (Fig. 2), which belongs to the ordinary joint input-output approach, reduces to the one-stage method. In such a case, the open-loop system could be easily determined after some extended rational transfer function (25) is identified, including the transfer functions of the regulator and of the open-loop system, respectively, as additional terms. In the case of the unknown regulator, the estimate of the extended transfer function (27) is used to generate an auxiliary input. The form of an additive noise filter (36), that guarantees the minimal value of the mean square criterion (35), is determined. The results of numerical simulation and identification of the closed-loop system (Fig. 5) by computer, using the two-stage method and the direct approach are given (Figures 6-12, Table 1).

Straipsnyje plėtojamas jungtinis įėjimo-išėjimo metodas sistemoms su grįžtamuoju ryšiu (1)–(4), kai sistemos išėjime veikia adityvusis koreliuotasis triukšmas. Nustatytos uždarojo ciklo bei adityviojo triukšmo sistemų perdavimo funkcijos (27), (36), suteikiančios kriterijui (35) minimalią reikšmę. Gauti dinaminės sistemos (53)–(55) (5 pav.) signalų bei parametrų skaičiavimų rezultatai (6–12 pav., 1 lentelė), taikant jungtinio įėjimo-išėjimo ir tiesioginio metodų algoritmus.