Buck circuit multiparameter on-line identification method

Abstract

The invention discloses a Buck circuit multiparameter on-line identification method. The method comprises the steps that firstly, the Buck circuit is analyzed according to the Kirchhoff's law, and a state-space equation set of the Buck circuit is set up; secondly, according to the state-space equation set, a local linear model of the Buck circuit is set up; thirdly, according to the local linear model, a measurement matrix and a parameter matrix are defined; fourthly, different parameter values, monitoring inductive currents, output voltages and diode voltage signals of different elements in the Buck circuit are set; fifthly, estimated valve of the parameter matrix is obtained through least squares recursive algorithm. The parameter matrix obtained from the above estimated valve is used to calculating the parameter valves of the element need to be identified. According to the Buck circuit multiparameter on-line identification method, the influence of the diode and diode pre-stage circuit parameters including a non-ideal voltage and an input voltage on the precision of the parameter identification is removed, the practical operation is easy to achieve, and the identification precision is higher.

Description

technical field [0001] The invention relates to a circuit fault identification method, in particular to a buck circuit multi-parameter online identification method. Background technique [0002] System fault prediction and health management (Prognostics and Health Management, PHM) is a comprehensive fault detection, isolation and prediction and health management technology. By monitoring the fault characteristic parameters of the system and using various reasoning algorithms to estimate the health status of the system itself, it can monitor and effectively predict the faults of the system as early as possible before the occurrence of system faults, accurately locate the degradation or fault parts, and combine various information resources Given the maintenance plan, so as to realize the condition-based maintenance and autonomous support of the system, it is of great significance to reduce maintenance costs, ensure system reliability and security, and improve combat readiness...

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Problems solved by technology

However, in the actual operation of this method, since the input voltage is not a constant value, in addition to sampling the switching signal, the input voltage value must also be sampled; in addition, the non-ideality of the switching tube and diode is not considered in the modeling, which will affect the accuracy of parameter identification. have an impact

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