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Neural Adaptive Tracking Control Method Based on Disturbance Observer for Fan Power in Wind Farm

A technology of self-adaptive tracking and disturbance observer, applied in the direction of self-adaptive control, general control system, control/regulation system, etc., can solve the problems that need to be improved, and the mutual disturbance of fans is not considered.

Active Publication Date: 2021-03-12
青岛格莱瑞智能控制技术有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, in the existing control method, the mutual disturbance between the fans is not considered, so the effect of the output power of the control system to track the maximum power needs to be improved

Method used

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  • Neural Adaptive Tracking Control Method Based on Disturbance Observer for Fan Power in Wind Farm
  • Neural Adaptive Tracking Control Method Based on Disturbance Observer for Fan Power in Wind Farm
  • Neural Adaptive Tracking Control Method Based on Disturbance Observer for Fan Power in Wind Farm

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Embodiment Construction

[0084] The present invention will be further described below in conjunction with embodiment.

[0085] In this embodiment, the neural adaptive tracking control method based on the disturbance observer for the fan power of the wind farm includes the following steps:

[0086] Step 1: Establish a system model of fan power

[0087] Aerodynamic power P generated by the fan a for:

[0088]

[0089] Where ρ is the density of the wind, v is the wind speed, R is the radius of the fan rotor, C P (λ, β) represents the power conversion efficiency of the fan; β is the pitch angle of the blade.

[0090] The tip speed ratio λ is determined by the following formula:

[0091]

[0092] where ω r is the angular velocity of the fan rotor, so P a Another expression is

[0093] P a = ω r T a

[0094] T a represents the aerodynamic moment;

[0095]

[0096]

[0097] There is the following mathematical relationship between the fan rotor and the generator

[0098]

[0099] ...

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Abstract

The invention discloses a neural self-adaptive tracking control method based on a disturbance observer for fan power in a wind field, comprising: step 1: establishing a system model of fan power; i : and the adaptive law of the sum is Step 3: set the controller u i The calculated command is input into the fan system, and the output power of the fan is controlled to track the maximum output power of the fan. The neural adaptive tracking control method based on the disturbance observer for fan power in the wind field of the present invention, and its controller can enable the output power of the system to better track the ideal maximum power when there is mutual disturbance in the wind field signal, and ensure that the system tracking error asymptotically tends to zero.

Description

technical field [0001] The invention relates to the technical field of fan control in a wind field, in particular to a method for controlling a fan to track the maximum output power. Background technique [0002] Now wind energy is widely used. In terms of fan power control, many such as sliding film, fuzzy, optimal, reverse thrust control, etc. are combined with it to achieve the effect of tracking the maximum power. The wind farm power system involves a large number of wind turbines, and the mutual disturbance between the wind turbines will have a significant impact on the control of the wind turbines in the wind farm, which will have a significant impact on the controller's ability to control the output power of each fan in the wind farm to track the optimal output power. However, in the existing control method, the mutual disturbance between the fans is not considered, so the effect of the output power of the control system to track the maximum power needs to be improved...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/041
Inventor 宋永端刘秀兰高瑞赖俊峰黄秀财
Owner 青岛格莱瑞智能控制技术有限公司
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