Research of PID Control Algorithm Based on Neural Network | Zendy

Liu Luoren | Zendy; Luo Jinling | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Research of PID Control Algorithm Based on Neural Network

Author(s) -

Liu Luoren,

Luo Jinling

Publication year - 2011

Publication title -

energy procedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.474

H-Index - 81

ISSN - 1876-6102

DOI - 10.1016/j.egypro.2011.12.409

Subject(s) - pid controller , artificial neural network , computer science , algorithm , control (management) , control theory (sociology) , control engineering , artificial intelligence , engineering , temperature control

Through the research on the existing BP network and PID control technology, for the defects of general BP algorithms such as slow convergence and easy to fall into local minimum, this paper presents an improved BP algorithm, and based on this algorithm proposes an implementation scheme of PID control system, the results show that the scheme can not only improve the convergence speed of the algorithm in the training process, and the trained BP neural network also has strong adaptive and self-learning capability, which further improves the performance of PID controllers. © 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ESEP 2011

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research