Self-adaptive internal mold vibration control method of intelligent fan blade based on grey information optimization

Abstract

The invention discloses a self-adaptive internal mold vibration control method of an intelligent fan blade based on grey information optimization. The self-adaptive internal mold vibration control method based on grey information theory optimization is adopted for uncertain factors existing in an intelligent fan blade vibration system in a complex operating environment, that is, the blade vibration system under the influence of uncertain factors is accurately identified by using a grey incidence optimization differential evolution identifying way, so that the internal mold vibration process is identified more ideally and accurately; and the parameters of a self-adaptive internal mold vibration controller for a blade is self-adaptively optimized and adjusted by using a grey planning theory, so that the dynamic characteristics and the robustness of a control system are beneficial for being improved, and a high-performance intelligent fan blade self-adaptive vibration control effect can be obtained when a closed-loop system overcomes the influence of uncertain factors. The self-adaptive internal mold vibration control method based on grey information optimization, provided by the invention, can overcome the influence of uncertain factors of the intelligent fan blade in the complex operating 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 iden

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