A fault detection method for insulation system of marine current generator based on m-ekf algorithm
A technology of insulation system and fault detection, applied in the direction of motor generator test, calculation, measurement of electricity, etc., can solve the problems of poor real-time performance, high cost, slow convergence and so on
Active Publication Date: 2018-10-02
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology
[0005] The technical problem to be solved by the present invention lies in a kind of fault detection method based on the M-EKF algorithm of the insulation system of the marine current generator proposed in view of the technical problems of the above-mentioned prior art, the purpose of which is to overcome the poor real-time performance, Due to the shortcomings of high cost and slow convergence, the model structure is established by using the output error minimization technology and its relative sensitivity function, and the state variables of the model structure are selected, and the state space equation is established for the model structure, followed by the improved continuous extended Kalman filter (M-EKF) method for parameter identification
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[0038] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further explained below in conjunction with specific illustrations.
[0039] A fault detection method for the insulation system of marine current generators based on the M-EKF algorithm, which mainly includes obtaining the model structure of the stator coil insulation system, selecting the parameter variables required for state-space modeling, and using the traditional continuous extended Kalman filter to perform state-space Modeling, using the M-EKF method to improve state space modeling, obtaining the identification results of current parameters in the model structure, and obtaining the model structure of the stator coil insulation system are as follows:
[0040] figure 1 The flow chart of the method is described. Firstly, the model structure is determined according to the insulation system to be studied, and th...
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The invention discloses an ocean current generator insulation system failure detecting method based on an M-EKF algorithm.The method comprises the steps that step one, a model structure is selected according to an insulation system to be monitored, and a reasonable state space equation is established; step two, a continuous extended Kalman filtering (M-EKF) method based on continuous EKF improvement is utilized to more accurately identify parameters of the model structure.The utilized M-EKF method mainly comprises of obtaining the model structure of a stator coil insulation system, selecting parameter variables required by the state space modeling, utilizing traditional continuous extended Kalman filtering to perform state space modeling, utilizing the M-EKF method to improve the state space modeling and obtaining current parameter identification results in the model structure.
Description
Technical field: [0001] The invention relates to the fault detection of the insulation system of the marine current generator in the field of new energy, in particular to a fault detection method for the insulation system of the marine current generator based on the M-EKF algorithm. Background technique: [0002] With the gradual depletion of traditional energy sources, human beings are facing severe resource and environmental problems. The theoretical estimated value of ocean current energy in the world is about 108kW. If ocean current energy can be used reasonably, it will provide immeasurable energy for the survival and development of human beings. At present, marine renewable energy has become an important participant in society, but in the harsh marine environment, such as high humidity, high salt spray and thermal cycle, etc., it has brought a series of severe challenges to the safe operation of ocean current generators. challenge. In particular, it may cause damage ...
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IPC IPC(8): G01R31/34G01R31/12G06F19/00
CPCG01R31/12G01R31/343G01R31/346G16Z99/00
Inventor 刘磊王天真秦海洋
Owner SHANGHAI MARITIME UNIVERSITY