Data-driven nonlinear system actuator fault factor identification technology

A non-linear system, fault factor technology, applied in general control systems, control/regulation systems, testing/monitoring control systems, etc., can solve the problems of poor generality, poor generality, mass production experience and process knowledge of artificial intelligence methods

Active Publication Date: 2020-09-01
QINGDAO UNIV OF SCI & TECH
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Problems solved by technology

Methods based on artificial intelligence include expert systems, neural networks, etc., which are suitable for systems that cannot obtain detailed mathematical models, but require a lot of production experience and process knowledge, and have poor versatility
[0005] In order to overcome the "unmodeled dynamic" problem of the mathematical model-based method of fault identification technology and the poor generality of the artificial intelligence-based method, it is necessary to design a method that does not rely on the system model and does not require a lot of production experience and technology Knowledge-based data-driven fault identification technology to achieve the purpose of estimating actuator fault factors in the system

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  • Data-driven nonlinear system actuator fault factor identification technology
  • Data-driven nonlinear system actuator fault factor identification technology
  • Data-driven nonlinear system actuator fault factor identification technology

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Embodiment Construction

[0085] In order to better illustrate the purpose and advantages of the present invention, the content of the invention will be further described in detail in conjunction with the embodiments and corresponding drawings.

[0086] The present invention aims at the problem of online estimation of actuator fault factors of nonlinear systems with dynamic actuator faults. Under the data-driven framework, a state observer is designed based on the Kalman filter to estimate the system state, and based on the filter Using the estimated bias, a data-driven identification technique for actuator failure factors in nonlinear systems is proposed.

[0087] see figure 1 As shown, a data-driven nonlinear system actuator failure factor identification technology disclosed in this embodiment includes the following steps:

[0088] Step S1: Establish a nonlinear system.

[0089] Consider a discrete-time nonlinear system as follows:

[0090] y(k+1)=f(y(k),...,y(k-n y ),u(k),…,u(k-n u )) (1)

[0...

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Abstract

The invention discloses a data-driven nonlinear system actuator fault factor identification technology, which belongs to the field of intelligent control. Under a data-driven framework, aiming at a fault failure factor identification problem of a nonlinear system with an actuator fault, the identification method comprises the steps of establishing the nonlinear system; dynamically linearizing thenonlinear system into an equivalent linear data model with an actuator fault failure factor; designing an updating algorithm to estimate a pseudo partial derivative in the linear data model; designinga state observer to estimate the system state; and designing an online estimation algorithm of the fault factor to realize estimation of the fault factor. According to the data-driven nonlinear system actuator fault factor identification technology disclosed by the invention, the actuator fault failure factor in the nonlinear system can be estimated on line; a data driving method is used; the method does not depend on specific model information; and the requirement for estimating the actuator fault is met on the premise that good adaptability is achieved.

Description

technical field [0001] The invention belongs to the technical field of intelligent control, and more specifically relates to an online identification technology of data-driven actuator fault factors for nonlinear systems with actuator faults. Background technique [0002] With the rapid development of modern economy, the scale and complexity of modern industrial systems are constantly increasing. Once such systems fail, it may cause huge economic losses. Fault identification technology can estimate the fault factors in the system, and then reduce the impact of faults on control. [0003] For the research on actuator fault factor identification technology, the following two issues need to be considered: 1. The current control system is becoming more and more diverse and complex, and the actuator fault factor identification technology can be effectively applied to various systems; 2. , It can guarantee the adaptability and achieve the purpose of estimating the fault factors i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0254
Inventor 池荣虎魏阳春惠宇姚文龙林娜张慧敏
Owner QINGDAO UNIV OF SCI & TECH
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