A wind turbine nacelle suspension control method based on rbf neural network pitch disturbance compensation

Abstract

Aiming at the problems of complex control structure and high failure rate in the multi-degree-of-freedom control of the axial suspension and pitch of the wind turbine nacelle, a suspension control of the wind turbine nacelle based on RBF neural network pitch disturbance compensation is proposed, and the composite suspension controller of the nacelle is used as an independent suspension variable The current reference is provided by the current controller, and the suspension control of the axial and pitch two-degree-of-freedom system of the nacelle is completed in cooperation, including state feedback control, RBF neural network pitch disturbance estimation and pitch disturbance compensation robust controller. Composite indicators composed of gap deviation, deviation differential, deviation integral and current Gaussian function value, adaptively adjust the weight and output of RBF neural network, and estimate the cabin pitch disturbance in real time. A controller for real-time acquisition and compensation of disturbance estimation errors.

Description

technical field [0001] The invention discloses an RBF neural network pitching interference compensation method for the suspension control of a wind power nacelle, which is an effective control method for solving the high operation cost and complicated control structure of multi-degree-of-freedom magnetic suspension, and belongs to the field of electrical engineering control. Background technique [0002] The wind turbine yaw system is the core component of large and medium-sized wind turbines, which realizes wind turbine blades facing the wind and wind energy capture. At present, the wind turbine yaw system adopts a multi-motor and multi-gear drive structure, which has problems such as large yaw power consumption and high failure rate. The New Energy Research Institute of Qufu Normal University proposed a wind-powered magnetic suspension yaw system, including a suspension winding, a yaw stator, and a yaw rotating body that integrates the nacelle and the suspension winding. W...

AI Technical Summary

Problems solved by technology

However, the multi-disturbance problem in the axial suspension seriously affects the suspension stability of the nacelle. The adaptive method is used to estimate and compensate the disturbance, and a certain control effect has been achieved. However, the axial disturbance includes wind speed, axial pressure disturbance, cabin pitch disturbance and other unknown Interference, traditional adaptive control has limited control ability when the structure and parameters are completely unknown, and cannot effectively estimate the interference with unknown structure

The RBF neural network has a strong ability to approximate unknown uncertainties, but there are also problems of approximation and estimation errors, which will also cause the suspension fluctuation of the wind turbine nacelle

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