Information Support of Gas-Turbine Engine Life Cycle Based on Agent-Oriented Technology

Zagitova, A.; Kondratyeva, Natalya; Valeev, Sagit

doi:10.1007/978-3-030-22063-1_50

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…Disposal is the final stage in the lifecycle of a gas turbine engine when it can no longer be used or repaired. At all stages of the lifecycle of the control system, a sufficiently large amount of information about the characteristics of the control system is generated and collected, which allows us to make the system improvements taking into account this information [43,44]. At the disposal stage, all information about this class of control system can be used in the development of its modification [45].…”

Section: Gte Lifecycle and Nonlinear Control Designmentioning

confidence: 99%

Design of Nonlinear Control of Gas Turbine Engine Based on Constant Eigenvectors

Valeev

Kondratyeva

2021

Machines

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A gas turbine engine represents a complex dynamic control object. Its characteristics change depending on the state of the environment and the regimes of its operation. This paper discusses an algorithmic approach to the design of a nonlinear controller, based on the concept of constant eigenvectors and analytical design of the control system. The proposed design method makes it possible to ensure the stability and the required quality of transient processes at different acceleration modes. In this case, the constancy of the matrix of the canonical basis of the closed-loop control system is assumed, which guarantees stability. The design of a neural network dynamic model of a gas turbine engine based on a neural network approximator with one input and multiple outputs is considered. An example of the design of a nonlinear controller for a gas turbine engine is considered, the neural network model of which is given in the state space. The application of neural network approximation of controller coefficients is presented.

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Section: Gte Lifecycle and Nonlinear Control Designmentioning

confidence: 99%