Autonomous control hardware for real-time applications

Author

Gardner, David ; Ashenayi, Kaveh ; Timmerman, Marc ; Shenoi, Sujeet

Author_Institution

Center for Intelligent Syst., Tulsa Univ., OK, USA

fYear

1994

fDate

26-29 Jun 1994

Firstpage

962

Abstract

A practical implementation in low-end hardware of an online adaptive fuzzy control algorithm is described. The controller starts with a vacuous initial control policy and learns to control unknown systems by autonomously undergoing adaptation in real-time. Limited system- and implementation-dependent information is incorporated in the adaptive algorithm. This information includes input and output signal magnitudes, quantization, delay time and response time parameters. Simulation and actual experimental results are presented for a prototype autonomous controller based on an inexpensive Intel 8031 hardware platform

Keywords

adaptive control; delays; fuzzy control; quantisation (signal); real-time systems; I/O signal magnitudes; Intel 8031; autonomous control hardware; delay time; online adaptive fuzzy control; quantization; real-time system; response time; Adaptive algorithm; Adaptive control; Control systems; Delay effects; Fuzzy control; Hardware; Programmable control; Quantization; Real time systems; Time factors;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343865

Filename

343865