A Fuzzy Proportional-Integral State Estimation Method for Nonlinear Systems with Redundant Delay Channels

A nonlinear system and state estimation technology, applied in general control systems, control/regulation systems, instruments, etc., can solve problems such as state estimation of nonlinear systems, and achieve the effect of ensuring easy execution and good estimation effect

Active Publication Date: 2022-02-22
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0006] The purpose of the present invention is to propose a fuzzy proportional-integral state estimation method for nonlinear systems with redundant time-delay channels, so as to solve the state estimation problem of nonlinear systems under the influence of redundant time-delay channels that cannot be handled by existing filtering methods

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  • A Fuzzy Proportional-Integral State Estimation Method for Nonlinear Systems with Redundant Delay Channels
  • A Fuzzy Proportional-Integral State Estimation Method for Nonlinear Systems with Redundant Delay Channels
  • A Fuzzy Proportional-Integral State Estimation Method for Nonlinear Systems with Redundant Delay Channels

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Embodiment

[0086] This embodiment describes a fuzzy proportional-integral state estimation method for nonlinear systems with redundant channels, which is based on fuzzy proportional-integral technology to solve a class of state estimation problems for nonlinear systems with redundant time-delay channels .

[0087] Such as figure 1 As shown, a fuzzy proportional-integral state estimation method for nonlinear systems with redundant channels, the steps are as follows:

[0088] S1. Establish a system state space model based on T-S fuzzy modeling technology, as shown in formula (1):

[0089]

[0090] Among them, x(k) represents the state variable of the nonlinear system at time k, and x(k) is n x dimensional column vector; y(k) represents the measurement output signal of the nonlinear system at time k, and y(k) is n y dimensional column vector; z(k) represents the signal to be estimated at time k, and z(k) is n z dimensional column vector; ω(k) represents energy bounded noise, ω(k) is ...

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Abstract

The invention discloses a fuzzy proportional-integral state estimation method for a nonlinear system with redundant time-delay channels. The method is used to solve the state estimation problem of a nonlinear system under the influence of a class of redundant time-delay channels, and specifically includes the following steps : Establishment of system state space model based on Takagi-Sugeno fuzzy modeling technology; establishment of redundant channel transmission model considering time delay; construction of fuzzy proportional-integral filter based on available measurement output; then, construction of performance index auxiliary function, According to the auxiliary function, the value of the filter gain is obtained by solving the linear matrix inequality; finally, based on the obtained filter gain, the estimated value of the fuzzy proportional-integral filter is calculated. The present invention combines two technologies of fuzzy state estimation and proportional integral state estimation, and the estimation effect is good, and since the key variable adopts the method of solving matrix inequality, the easy execution of the algorithm is guaranteed.

Description

technical field [0001] The invention relates to a fuzzy proportional-integral state estimation method for nonlinear systems with redundant time-delay channels. Background technique [0002] State estimation is one of the basic research problems in control theory, and it has great significance in practical engineering. The basic idea of ​​state estimation is to use the obtained output information and adopt a suitable filtering algorithm to obtain the estimated value of the real state of the system under a given performance index. In the past few decades, in order to meet different industrial needs, many filtering algorithms have been proposed to realize state estimation, and satisfactory results have been achieved in practice. Nonlinear phenomena exist widely in life, and almost all practical systems exhibit nonlinear characteristics, which have important practical significance for the state estimation of nonlinear systems. [0003] Among the many filtering algorithms for n...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 王业政王子栋邹磊宋保业赵忠义郭继跃
Owner SHANDONG UNIV OF SCI & TECH
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