Adaptive Critic Based Design of a Fuzzy Motor Speed Controller
Published In
IEEE International Symposium on Intelligent Control - Proceedings
Document Type
Citation
Publication Date
12-1-2001
Abstract
In this paper we show the applicability of the Dual Heuristic Programming (DHP) method of Approximate Dynamic Programming to the design of a fuzzy control system. DHP and related techniques have been developed in the neurocontrol context but can be equally productive when used with fuzzy controllers or neuro-fuzzy hybrids. We demonstrate this technique on a speed controller for a brushless motor. In our example, we take advantage of the TS model framework to initialize the tunable parameters of our plant model with reasonable problem specific values, a practice difficult to perform when applying DHP to neurocontrol.
Locate the Document
https://doi.org/10.1109/ISIC.2001.971536
DOI
10.1109/ISIC.2001.971536
Persistent Identifier
https://archives.pdx.edu/ds/psu/37269
Citation Details
Shannon, T. T., & Lendaris, G. G. (2001, September). Adaptive critic based design of a fuzzy motor speed controller. In Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC'01)(Cat. No. 01CH37206) (pp. 359-363). IEEE.