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A new neural network and pole placement based adaptive composite controller

Hussain, Amir; Zayed, Ali S.; Smith, L.S.


Ali S. Zayed

L.S. Smith


The paper describes a new composite control method combining a neural network estimator with a conventional pole-placement based adaptive controller. The neural network estimation technique presented by Hussain (2000) is particularly effective when there is no complete plant information, or when considering a controlled plant as a 'black box'. In the proposed composite controller, the neural network estimator weights are adapted online to minimise the identification error, and these weights are fed into a robust self-tuning PID controller which provides an adaptive mechanism to ensure that the closed loop poles are placed at the desired positions. Simulation results show that the proposed method applies to general linear or nonlinear control systems.

Presentation Conference Type Conference Paper (Published)
Conference Name Multi Topic, IEEE International Conference
Start Date Dec 30, 2001
End Date Dec 30, 2001
Publication Date Aug 7, 2002
Deposit Date Oct 10, 2019
Publisher Institute of Electrical and Electronics Engineers
Pages 267-271
Book Title Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century.
ISBN 0780374061
Keywords PID controller, control systems, neutral networks.
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