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Neuro-PID control for nonlinear plants with variable parameters


Article Information

Title: Neuro-PID control for nonlinear plants with variable parameters

Authors: M. V. Burakov, V. G. Kurbanov

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2017

Volume: 12

Issue: 4

Language: English

Categories

Abstract

The synthesis technique of neuro-PID controller as three-channel structure in which each channel has piecewise-and-linear activation function which settings are configured by means of a genetic algorithm is considered in the article. The given examples of modeling show that the offered option of the organization of the controller can be successfully used in control of nonlinear objects with variable parameters for which linear PID-regulators cannot provide acceptable quality of control.


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