Multivariable self-tuning PID controller based on wavelet fuzzy neural networks

Author

Chi-Huang Lu ; Pen-Yu Liao ; Yuan-Hai Charng ; Chi-Ming Liu ; Jheng-Yu Guo

Author_Institution

Dept. of Electr. Eng., Hsiuping Univ. of Sci. & Technol., Taichung, Taiwan

Volume

2

fYear

2014

fDate

13-16 July 2014

Firstpage

755

Lastpage

759

Abstract

This paper presents a multivariable self-tuning proportional-integral-derivative (PID) controller based on wavelet fuzzy neural networks (WFNNs) for a class of nonlinear systems. A mathematic model using WFNN is constructed for the controlled nonlinear multivariable system, and the self-tuning PID controller is derived via a generalized predictive performance criterion. Numerical simulations exhibit that the proposed multivariable self-tuning PID control law gives satisfactory tracking and disturbance rejection performances.

Keywords

adaptive control; fuzzy neural nets; multivariable control systems; neurocontrollers; nonlinear control systems; self-adjusting systems; three-term control; WFNNs; disturbance rejection performances; generalized predictive performance criterion; mathematic model; multivariable self-tuning PID controller; multivariable self-tuning proportional-integral-derivative controller; nonlinear multivariable system control; numerical simulations; wavelet fuzzy neural networks; Abstracts; Fuzzy control; Fuzzy neural networks; Numerical models; Radio access networks; Generalized predictive control; Multivariable system; PID controller; Self-tuning; Wavelet fuzzy neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2014 International Conference on

Conference_Location

Lanzhou

ISSN

2160-133X

Print_ISBN

978-1-4799-4216-9

Type

conf

DOI

10.1109/ICMLC.2014.7009704

Filename

7009704