Adaptive internal model vibration control method for intelligent fan blades based on gray information optimization

Abstract

The invention discloses an adaptive internal model vibration control method based on gray information optimization for intelligent fan blades. The method aims at various uncertain factors existing in the vibration system of intelligent fan blades in a complex operating environment, and adopts a method based on gray information theory optimization. The self-adaptive internal model vibration control method uses the differential evolution identification method of gray relational optimization to accurately identify the blade vibration system under the influence of uncertainty, making the identification of the internal model vibration process more ideal and accurate; The parameters of the modal vibration controller are adaptively optimized and adjusted, which is conducive to improving the dynamic characteristics and robustness of the control system, so that the closed-loop system can achieve high-performance adaptive vibration control of intelligent fan blades while overcoming the influence of uncertain factors. Through the present invention, the gray optimization self-adaptive internal model vibration control method provided can overcome the influence of multiple uncertain factors of intelligent fan blades in a complex working environment.

Description

technical field [0001] The invention belongs to the technical field of high-efficiency and safe operation control of wind turbine blades, and in particular relates to an adaptive internal model vibration control method for intelligent wind turbine blades based on gray information optimization. Background technique [0002] The enlargement of wind turbines has become an inevitable trend to increase the installed capacity of wind turbines. The spanwise length of wind turbine blades is also increasing with the increase of models. Blades, as the key part of wind power generation system to capture wind energy, directly affect the performance of the entire wind power generation system. Power generation efficiency and performance. However, under the coupling action of inertial force, elastic force and complex aerodynamic load force, the blade will flutter and cause damage to the blade, and cracks or even fracture will occur in severe cases. Due to the high cost of blades, heavy vo...

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Problems solved by technology

[0007] The purpose of the present invention is to provide an adaptive internal model vibration control method for intelligent fan blades based on gray information optimization in order to solve the problem of multiple uncertain influencing factors in the vibration system of intelligent fan blades in a complex operating environment. In the environment, the gray optimization identification of the blade vibration process under the influence of various uncertain factors is carried out to improve the identification accuracy of the system process; the online adaptive correction of the internal model vibration controller is carried out to reduce the influence of uncertain factors on the control effect and improve The robustness and dynamic performance of the adaptive internal model vibration controller; the gray theory is used to optimize and adjust the adaptive internal model controller, and find the optimal adaptive internal model vibration control method for blades in different operating environments

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