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On-line recognizing method for nonlinear dynamic model parameter of high-speed train

A technology of nonlinear dynamics and model parameters, which is applied in the field of system parameter identification, can solve the problems of complex calculation, large amount of calculation, and poor real-time performance of model parameter identification

Inactive Publication Date: 2015-07-29
XIAN UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide an online identification method for the nonlinear dynamic model parameters of high-speed trains, which solves the problems of complex identification and calculation of model parameters, large amount of calculation and poor real-time performance in the prior art

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  • On-line recognizing method for nonlinear dynamic model parameter of high-speed train
  • On-line recognizing method for nonlinear dynamic model parameter of high-speed train
  • On-line recognizing method for nonlinear dynamic model parameter of high-speed train

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Embodiment Construction

[0047] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0048] The present invention is an online identification method of high-speed train nonlinear dynamic model parameters, the overall flow chart is as follows figure 1 As shown, follow the steps below:

[0049] Step 1. Establish a dynamic state-space model of the high-speed train system:

[0050] x k + 1 = x 1 k + Tx 2 k x 2 k +...

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Abstract

The invention discloses an on-line recognizing method for nonlinear dynamic model parameters of a high-speed train. The method comprises the following realization steps that a corresponding system model is built according to a practical high-speed train system, the noise interference possibly suffered by a system is analyzed, the model parameters under the interference are obtained, in addition, the weights of each group of parameters are initialized, the system state is estimated by a particle filter algorithm under the condition of each group of parameters, the current observation output of the system is obtained, the posterior probability of each group of parameters is calculated through a probability density function of observation noise under the condition that the output value is known, the weights of each group of parameters are updated, and along with the system operation, the recognizing result is obtained according to the weights of each group of parameters. The on-line recognizing method has the advantages that the calculation quantity of parameter recognition is reduced, the recognition accuracy is improved, and the system parameters can be recognized in real time.

Description

technical field [0001] The invention belongs to the technical field of system parameter identification, and in particular relates to an online identification method for parameters of a nonlinear dynamic model of a high-speed train. Background technique [0002] In recent years, in order to meet the rapidly growing demand for passenger transportation and meet the needs of national economic development, high-speed railways, which have many technical and economic advantages such as high speed, low energy consumption, large capacity, and safety and punctuality, have developed rapidly and become the priority development of countries all over the world. green means of transport. At the same time, as the operating speed increases, the interaction between the train and the catenary, wheel-rail, and air increases significantly, and the complexity of train control increases significantly. At the same time, due to the performance differences of vehicles and the influence of random dis...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 谢国张丹黑新宏钱富才马维纲
Owner XIAN UNIV OF TECH
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