NDLI: Non-Identifier-Based Adaptive Tracking Control for a Two-Mass System

Content Provider	IEEE Xplore Digital Library
Author	Schuster, H. Westermaier, C. Schroder, D.
Copyright Year	2006
Description	Author affiliation: Inst. of Electr. Drive Syst., Tech. Univ. Munich (Schuster, H.; Westermaier, C.; Schroder, D.)
Abstract	High-gain-control is a well known control strategy which is non-identifier-based and needs no identification algorithm therefore. The outcome of this is a rather simple control concept which enables to control plants with uncertain values of the system parameters. The most severe disadvantage however is its nondecreasing gain function. This inhibits the use of high-gain-control especially if tracking control is required. For this reason, funnel-control is introduced which is an advancement of high-gain-control and contains a non-monotone time-varying gain function. Because of the proportional control law, a steady state error must be accepted as well as a tracking error. Although the error can be forced acceptable small if no sensor noise is present, this is not longer true in practical applications. To get an asymptotically vanishing control error, the funnel-controller is extended with a dynamic model, generating the reference signal, and with a dynamic feedback structure. Both extensions are introduced such that the closed loop stability is maintained. It is shown that a two-mass flexible servo system can be controlled with this strategy
Starting Page	190
Ending Page	195
File Size	5756702
Page Count	6
File Format	PDF
ISBN	0780397088
DOI	10.1109/INES.2006.1689367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-26
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Control systems Error correction Proportional control Steady-state Signal generators Feedback Stability Servomechanisms
Content Type	Text
Resource Type	Article

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