Title

Neural network adaptive autotuner

Abstract

It is critical that modern control theory techniques be integrated into assignments which involve the application of basic concepts in engineering technology to prepare students for the next millennium. The adaptive neural network discussed in this paper can be viewed as an appropriate use of these modern techniques in engineering technology curriculum. Adaptive tuning of PID controller gains in case of plant parameter variations is of great importance. There are many approaches available for PID autotuning. In this paper the PID controller gains are adaptively changed using a neural network approach. The neural network tuner is incorporated in the control system to adapt the PID gains to changing system parameters. The neural network architecture employed is a multilayer perceptron. A computer simulation is conducted to show the tracking behavior of the controller in the case of plant parameter variations and set point changes.

Publication Date

12-1-1998

Publication Title

ASEE Annual Conference Proceedings

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0032302531 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0032302531

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