Багатокритеріальний синтез регульованих за напругою асинхронних електроприводів зі стохастичним навантаженням

Автор(и)

  • Ю. В. Шуруб
  • А. О. Дудник

Анотація

MULTICRITERION SYNTHESIS OF VOLTAGE REGULATED INDUCTION ELECTRIC DRIVES WITH STOCHASTIC LOADS

Y. Shurub, A.Dudnyk

Significant class of drives has stochastic load moments that significantly impair their technical and economic performance. Increasing the efficiency of electric drives may be done by creating closed systems with optimal regulators. To do this, it is need to create optimization criteria and constraints laws regulating electric induction of stochastic loads, providing optimal power consumption in operation mode while maintaining the nominal starting torque and overload capacity. For closed systems "voltage converter - induction motor", "frequency converter - induction motor" can be shown that the minimum loss in dynamic mode with loads of intensive change at random by law, meets the criterion of minimum mean square error adjusting optimal parameters, which should stabilize. In the case of a regulated voltage electric mode power optimization options are optimal sliding.

Purpose of research is development of methods for the synthesis of electric drive regulator via the "voltage converter - induction motor" at random perturbations applying statistical methods of optimal synthesis of stochastic dynamical systems.

Materials and methods of research. In the "voltage converter - induction motor" to ensure minimum power losses in the induction motor by changing the static load necessary to maintain optimum sliding.

The feature of the proposed optimization methods here is a random process decomposition burden on average, served as a useful signal and high-frequency fluctuations around the average value, served as barrier - centered stationary random process. Note that the static part of the perturbation in this case believe only useful signal so that it is already known law optimization, and an appropriate signal problem that is truly useful signal the physical sense, fulfills this particular component.

The method of statistically optimal synthesis of asynchronous electric drives, which is to determine the transfer function controller that provides the least mean square error of the performance limitations for handling ability and starting torque.

Research results. Calculations made by this method showed that the load has exponential correlation function, the transfer function is statistically optimal controller serial connection aperiodic link and forcing a first-order level, and with a load of exponentially-cosine correlation function - serial connections aperiodic level and second order forcing managers.

Simulation of the electric uniflow grain crusher when using statistically optimal regulator showed an increase in cycle efficiency electric performance compared to electric without a regulator such as the Cycle Efficiency (8-12 %) and power factor (10-14 %), and reducing the variance of output parameters electric - electromagnetic torque, current, speed (60-70 %), indicating a significant regulator of optimal filtering high frequency components disturbance.

The optimal structure of asynchronous electric regulators closed stochastic loads depending on the type of random disturbances. Improvement of energy efficiency of electric uniflow mills grain by application of multi synthesis is shown.

Посилання

Andryuchshenko O. A., Boyko A. A., Babiichuk O. B. (2004). Osobennosti rezhimov minimizatsii poter’ v asinhronnih dvigateliah [Modes features for losses minimizing in induction motors]. Electrical machinery and electrical equipment, 62, 24 – 28.

Shurub Yu. V. (2013). Matematychna model reguliovanogo za naprugou asinhronnogo dviguna dlia statistichno optimal’nogo sintezu zamknutih system elektroprivodu [Mathematical model of a voltage regulated induction drive for statistically optimal synthesis of closed electric drive systems]. Scientific Bulletin of National University of Life and Environmental Sciences of Ukraine, 184/2, 189 – 192.

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Опубліковано

2017-02-27

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