The article considers the problems that arise when developing digital controllersController for automatic control systems. In the presence of interference, as well as at a high sampling frequency, digital differentiation yields a large errorError. The problem is that the derivativeDerivative is calculated as the difference between two variables close in value. To reduce the errorError, a differentiation method is proposed in which the average of the divided differences of a series of values ​​is performed. A structural diagram is proposed for implementing this differentiation method when constructing controllersController.

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Noise Suppression in Digital Regulators

  • Dmitry Fugarov,
  • Olga Purchina

摘要

The article considers the problems that arise when developing digital controllersController for automatic control systems. In the presence of interference, as well as at a high sampling frequency, digital differentiation yields a large errorError. The problem is that the derivativeDerivative is calculated as the difference between two variables close in value. To reduce the errorError, a differentiation method is proposed in which the average of the divided differences of a series of values ​​is performed. A structural diagram is proposed for implementing this differentiation method when constructing controllersController.