Mathematical and computer modelling of adaptive systems identification and control with power objects on the basis of Wiener-Hammerstein model

In this article problems of mathematical and computer modeling of adaptive systems identification and control in the class of Wiener-Hammerstein models on the basis of personal computers for such nonlinear stochastic dynamic power objects are considered. The problem of identification is reduced to minimization of criterion of quality identification on parameters where the optimal two-stage recurrent algorithm of identification - on the basis of the average method of the least squares is applied. The model of Wiener-Hammerstein constructed in this way is applied in the closed contour of identification and control at creation Ad SIC to track active power desirable value by means of TSRIA, AMLS and adaptive algorithm of control - AdAC. The effective functioning of constructed Ad SIC is checked on the basis of statistics.