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- Title
Adaptive Predictive PID Control Using Fuzzy Wavelet Neural Networks for Nonlinear Discrete-Time Time-Delay Systems.
- Authors
Tsai, Ching-Chih; Tai, Feng-Chun; Chang, Ya-Ling; Tsai, Chia-Ta
- Abstract
This paper presents a novel adaptive predictive proportional-integral-derivative (PID) control using fuzzy wavelet neural networks (FWNN) for a kind of highly nonlinear discrete-time system with time delay. The proposed controller, abbreviated as FWNN-APPID, is composed of an adaptive predictive PID controller with abilities of accurate tracking and disturbance rejection and an FWNN identifier with online parameter tuning and estimation. Several simulations for controlling a highly nonlinear time-delay process show constant disturbances rejection and its performance of setpoint tracking for the proposed FWNN-APPID control method, thus clearly showing its effectiveness and merit. Experimental results on a real PET stretch blow molding machine show the applicability of the proposed method.
- Subjects
PID controllers; FUZZY neural networks; WAVELETS (Mathematics); DISCRETE-time systems; TIME delay systems; BLOW molding
- Publication
International Journal of Fuzzy Systems, 2017, Vol 19, Issue 6, p1718
- ISSN
1562-2479
- Publication type
Article
- DOI
10.1007/s40815-017-0405-z