Gray combined modeling and optimized vibration controlling method of large intelligent draught fan blade system

Abstract

The invention discloses a gray combined modeling and optimized vibration controlling method of a large intelligent draught fan blade system. The method comprises the following steps that firstly, wind tunnel test data are collected, blade aerodynamic characteristic data are collected and obtained by designing a blade wing-shaped aerodynamic test, an appropriate intelligent driver is selected, and input and output signals of the driver are collected and obtained by designing the aerodynamic test of the blade intelligent driver; secondly, a blade aerodynamic stall model based on the test data is established; thirdly, a gray model of the intelligent driver is established; fourthly, a gray combined model of the large intelligent draught fan blade system is established; and fifthly, based on a model predicting control method, a controller is designed according to the gray combined model, established in the fourth step, of the large intelligent draught fan blade system, and the optimized vibration control over large intelligent draught fan blades for restraining the indeterminate interference is achieved. The method is advanced and scientific, safe and stable running of the large draught fan blades is guaranteed, and the effects of improving the power generating quality of a large draught fan and the like are achieved.

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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