Method of Gray Combination Modeling and Optimal Vibration Control for Large Intelligent Fan Blade System

Abstract

The invention discloses a method for gray combination modeling and optimized vibration control of blades of a large intelligent fan. The steps of the method are as follows: (1) Wind tunnel test data acquisition: through the design of the aerodynamic test of the blade airfoil, the aerodynamic characteristic data of the blade is collected; the appropriate intelligent driver is selected, and the aerodynamic test of the blade intelligent driver is designed, and the data of the driver is collected and obtained. Input and output signals; (2) establish the blade aerodynamic stall model based on experimental data; (3) establish the gray model of the intelligent driver; (4) establish the gray combination model of the blade system of the large-scale intelligent fan; (5) establish according to the step (4) The gray combination model of the large-scale intelligent fan blade system is designed, and the controller is designed based on the model predictive control method to realize the optimal vibration control of large-scale intelligent fan blades that suppresses uncertain disturbances. The method of the invention is advanced and scientific, ensures the safe and stable operation of the blades of the large-scale fan, and has the effects of improving the power generation quality of the large-scale fan.

Description

technical field [0001] The invention relates to a method for gray combination modeling and optimized vibration control of blades of a large-scale intelligent fan, and belongs to the technical field of wind power generation. Background technique [0002] With the development of science and technology and the increase of energy demand, the large-scale wind turbine has become an inevitable trend to increase the capacity of wind turbine assembly. In recent years, the installed capacity of wind turbines in the world has continued to rise, and the development of wind power in my country has been particularly rapid. Large-scale wind turbines and power generation technology have a very important position in my country's renewable energy development strategy and the sustainable increase of the national economy. [0003] The spanwise length of fan blades is also increasing with the increase of the model. Under the coupling effect of inertial force, elastic force and complex aerodynami...

AI Technical Summary

Problems solved by technology

Therefore, the large intelligent fan blade system is a complex time-varying strongly coupled nonlinear system with many uncertain factors

[0006] Wind turbines operate in harsh and complex environments for a long time. Gusts, actuator actions, and wind turbine yaw will bring different degrees of disturbance to the system, and these disturbances are also uncertain.

[0007] However, the current research methods for modeling and control technology of large-scale intelligent fan blade systems do not consider various uncertain factors in practice, and ignore various interference factors in the working environment of fan blades, which affect the performance of large-scale fan blades. The improvement of system model accuracy and blade control effect is not conducive to further improving the safe and stable operation of large wind turbines and the efficiency of wind power generation

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