Wind power generator intelligent blade measurement and control method and system

Abstract

The embodiment of the invention discloses a wind power generator intelligent blade measurement and control method. The method comprises a real time lift value y(k) of a read blade is compared with a target lift value r(k) to obtain a deviation e(k)=r(k)-y(k); a single-neuron incremental PID controller is designed, an increment delta theta r(k) of a flap angle control amount is calculated, and an angle target value delta theta r(k) of a trailing edge flap on the blade is obtained through z transformation; and the difference e theta(k) of the flap target deflection angle and the flap real-time deflection angle is calculated by the PI controller, a control quantity delta u (k) is calculated, and a motor shaft target angle value u(k) of a servo motor for controlling the trailing edge flap is obtained through the z transformation. The embodiment of the invention further discloses a wind power generator intelligent blade measurement and control system. By the adoption of the system and the method, automatic control of the lifting force of the intelligent blade can be carried out by adjusting the deflection angle of the trailing edge flap according to the performance indexes of the control system, meanwhile, the deflection angle of the lifting force and the trailing edge flap of the intelligent blade can be monitored in real time. The method and the system have the advantages of beinghigh in precision, high in anti-interference capability, low in cost and good in system dynamic characteristic.

Description

technical field [0001] The invention relates to the field of blade control of wind power generators, in particular to a method for measuring and controlling intelligent blades of wind power generators and a system thereof. Background technique [0002] In terms of the blade structure of the wind turbine, as the size of the wind turbine blade increases, the flexibility and inertia of the blade increase. The existing pitch control technology is full blade pitch, which makes it difficult to quickly and effectively control the aerodynamic performance of the blade. The smart blade is to add a trailing edge flap to the trailing edge of the blade. The inertia of the trailing edge flap is smaller than that of the blade. The control scheme of the smart blade can make up for the shortcomings of large inertia, strong hysteresis and difficulty in local adjustment of pitch control to a certain extent. Existing smart blade technology only performs static measurement of aerodynamic paramet...

AI Technical Summary

Problems solved by technology

Existing smart blade technology only performs static measurement of aerodynamic parameters and lift force on smart blades, and studies the changes of aerodynamic parameters when the flaps are deflected at different angles, but does not achieve dynamic closed-loop control with a certain goal, that is, the trailing edge flaps at different angles The aerodynamic performance and lift change of the blade at different angles, without embedding the automatic control system into the smart blade

[0003] In addition, the existing pitch control technology is also a solution to realize blade lift control, but the pitch control has a strong hysteresis. When the wind speed changes greatly, it is difficult for the pitch control system to respond in time.

The reason is that the pitch control is to adjust the entire blade. When the blade is longer, the inertia and flexibility of the blade are greater, and the lag of the pitch control system when adjusting the pitch angle will be more serious.

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