An application of time delay estimation by ANNs to frequency domain adaptive I-PD controller

Author

Kurita, Yusuke ; Hashimoto, Tsuyoki ; Ishida, Yoshihisa

Author_Institution

Dept. of Electron. & Commun., Meiji Univ., Kawasaki, Japan

Volume

3

fYear

1999

fDate

1999

Firstpage

2164

Abstract

We present an auto-tuning method of frequency domain adaptive I-PD controllers using online time delays estimation by ANNs (artificial neural networks). The ANN architecture used is a simple Adaline with the LMS training algorithm. The proposed control scheme applies estimated time delays to the Smith predictor and estimates the frequency response of the controlled object using the sliding DFT. The control gains are then determined so as to minimize the model error between the closed-loop frequency response of desired system and that of the actual system

Keywords

adaptive control; closed loop systems; delay estimation; discrete Fourier transforms; frequency response; learning (artificial intelligence); least mean squares methods; neural net architecture; neurocontrollers; predictive control; three-term control; tuning; LMS training algorithm; Smith predictor; auto-tuning method; closed-loop frequency response; control gains; frequency domain adaptive I-PD controller; model error; simple Adaline; sliding discrete Fourier transform; time delay estimation; Adaptive control; Artificial neural networks; Delay effects; Delay estimation; Frequency domain analysis; Frequency estimation; Frequency response; Least squares approximation; Programmable control; Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.832723

Filename

832723