A Parameter Adaptive Fractional Order Active Disturbance Rejection Automatic Generation Control Method

Abstract

The present invention provides a parameter-adaptive fractional-order active disturbance rejection automatic power generation control method. The method combines the fractional-order control idea and the active disturbance rejection algorithm into a fractional-order active disturbance rejection algorithm, and then applies the parameter adaptive strategy to the fractional-order automatic disturbance rejection algorithm. In the anti-interference algorithm. The method proposed by the invention calculates the fractional order control quantity by computer, so as to improve the control performance of the automatic power generation control system. The method proposed by the invention can avoid the cumbersome process of manually adjusting controller parameters. The method proposed in the invention uses a parameter self-adaptive algorithm to automatically adjust system parameters, and the adjusted fractional-order ADR model can obtain higher control performance without manually adjusting parameters, and has good anti-interference ability.

Description

technical field [0001] The invention belongs to the field of automatic power generation control of electric power systems, and relates to an automatic power generation control method based on the combination of parameter self-adaptive strategy, fractional order control thought and active disturbance rejection algorithm, which is applicable to the problem of automatic power generation control of electric power systems. Background technique [0002] With the continuous development of science and technology and the continuous improvement of control level, the traditional proportional-integral-derivative controller is still widely used in the field of automatic control technology. However, the parameters of the controlled object in the actual control system change, and change with the internal and external environmental disturbances of the controller, which causes a certain error between the expected value and the actual value. In recent years, many researchers have proposed man...

AI Technical Summary

Problems solved by technology

[0009] Due to the introduction of adjustable parameters λ and μ, the parameter setting range of the fractional-order ADRC controller becomes larger, and manual adjustment is required. The tedious manual adjustment makes the control effect not so efficient

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