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Multi-fault diagnosis and fault-tolerant control of wind turbine system

A wind power generation system, fault-tolerant control technology, applied in the monitoring of wind turbines, wind turbines, motors, etc., can solve the problem of low probability of failure of a single sensor or actuator

Active Publication Date: 2016-10-12
国电崇礼和泰风能有限公司
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Problems solved by technology

[0005] Most of the current research is aimed at the diagnosis and fault-tolerant control of a single sensor or actuator fault in the wind power generation system. With the continuous improvement of the automation level, the wind power generation system is becoming more and more complicated, and the failure situation is also complex and changeable. The actual system The probability of failure of a single sensor or actuator is low, and the research has great limitations

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Embodiment Construction

[0114] The present invention will be further described below in conjunction with accompanying drawing and example.

[0115] Step 1: Establish a global fuzzy model of the wind power generation system

[0116] According to the state equation of the wind power generation system obtained in formula (5), the global T-S fuzzy model of the wind power generation system is obtained by using the T-S fuzzy algorithm, as shown in formula (8).

[0117] Step 2: Multi-fault diagnosis and reconstruction strategy of wind power generation system

[0118] Through the analysis of the characteristics of actuator faults and sensor faults, actuator faults are internal faults of the system, which will cause changes in system-related parameters and eventually affect the output of the system. Therefore, they can be regarded as sensor faults. Through the combination of sensor hardware redundancy technology Based on the theory of sliding mode observer, the logical residual table is established to realiz...

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Abstract

The invention discloses a multi-fault diagnosis and fault-tolerant control method of a wind turbine system. The method comprises the following steps: firstly, establishing a global fuzzy model of the wind turbine system by utilizing the T-S fuzzy algorithm; converting an actuator fault into a sensor fault by utilizing the characteristic of combining the sensor hardware redundancy technology with the actuator fault, and establishing a multi-fault diagnosis logical table to realize multi-fault detection; then, introducing a filter, converting the sensor fault into the actuator fault, establishing a virtual actuator fault, and realizing simultaneous reconstitution of two faults through reconstitution of the virtual actuator fault; finally, revising input and output of a controller based on a fault reconstitution value to realize active fault-tolerant control. The method has the following advantages: diagnosis and reconstitution of the wind turbine system with concurrent actuator and sensor faults can be simultaneously realized, accurate fault information is obtained in a real-time and on-line manner, fault-tolerant control is realized, the capacity of processing unknown faults of the system is enhanced, and the wind energy conversion efficiency under the fault is improved.

Description

technical field [0001] The invention relates to a multi-fault diagnosis and fault-tolerant control of a wind power generation system, which performs active fault-tolerant control on faults based on accurate fault information acquired online and in real time by an FDD unit. Background technique [0002] Wind power is the fastest growing renewable energy in the world, and it has become an indispensable force to solve the world's energy problems. Wind power generation equipment is generally located in high mountains or remote areas far from the coast, where climate change is unpredictable. In such a highly harsh and complex working environment, actuator and sensor failures occur frequently. [0003] The internal structure of the wind power generation system is complex, and there are many components. Among them, the actuator is the most complex, including the transmission system, power generation system, yaw system and hydraulic system, etc., which carry the largest load and hav...

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Application Information

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IPC IPC(8): F03D17/00
CPCF05B2260/80
Inventor 沈艳霞王旭杨雄飞
Owner 国电崇礼和泰风能有限公司
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