NDLI: Real-time intelligent controllers for systems with partially known dynamic models

Content Provider	IEEE Xplore Digital Library
Author	Hongsheng Yu Zein-Sabatto, S.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Tennessee State Univ., Nashville, TN, USA (Hongsheng Yu; Zein-Sabatto, S.)
Abstract	In this paper, the strength of two different control theories were combined to construct an intelligent control system. The modern control theory is first used to design a full-state feedback controller. This controller provides the needed accuracy of the control system performance at a specific operating range (modeled range) of the plant dynamic. Then the fuzzy logic technology is used to design a bank of controllers, which handle the intelligent decision-making of the control system at the remaining operating range of the plant dynamics. Typically this is the un-modeled dynamics of the controlled plant. The developed intelligent control system was used to balance inverted pendulum hardware. The controller was first simulated then implemented and tested on the dSPACE real-time controller board. The results showed that the intelligent control system could provide a practical control performance for the inverted pendulum hardware starting from any arbitrary initial condition including failed conditions with unexpected external disturbance.
Sponsorship	Lane Dept. Comput. Sci. & Electr. Eng. Electr. & Comput. Eng., WVU Inst. Technol. Adv. Power Eng. Res. Center IEEE Control Syst. Soc. IEEE West Virginia Sect
Starting Page	43
Ending Page	47
File Size	364570
Page Count	5
File Format	PDF
ISBN	0780376978
ISSN	00942898
DOI	10.1109/SSST.2003.1194527
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Intelligent systems Control system synthesis Intelligent control Control systems Control theory Hardware State feedback System performance Fuzzy logic
Content Type	Text
Resource Type	Article

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