ALGORITHMS FOR THE PROGRAMM IMPLEMENTATION OF DIGITAL STATISTICALLY OPTIMAL REGULATORS OF INDUCTION ELECTRIC DRIVES WITH STOCHASTIC LOADS

The paper is devoted to the development of algorithms for the programm implementation of digital statistically optimal regulators of electric drives, which are under the influence of dynamic loads that change according to stochastic laws. On the basis of continuous transfer functions of statistically optimal regulators for similar loads, which can be approximated by exponential and exponential-cosine correlation functions, the following algorithms were obtained in the form of recurrent difference equations, which can be implemented by software. Recommendations have been developed for the accuracy of determining the parameters of the corresponding digital regulators. Ref. 11, fig. 5.