NDLI: The model-free direct adaptive generalized predictive control approach of permanent magnet linear motor

Content Provider	IEEE Xplore Digital Library
Author	Cao, A.R. Zhou, B.H. Hou, C.Z.
Copyright Year	2009
Description	Author affiliation: Advanced Control Systems Laboratory, Beijing Jiaotong University, 100044, China (Hou, C.Z.) \|\| School of Industry, China Agricultural University, Beijing 100083, China (Cao, A.R.; Zhou, B.H.)
Abstract	In this paper, a model-free direct adaptive nonlinear predictive control (MFDANPC) algorithm of linearization of tight format of a class of SISO based on a generalized predictive control (GPC) is applied to permanent magnet linear motor speed and position control. The design of controller is based directly on estimate and prediction of pseudo-partial-derivatives (PPD) derived on-line from the input and output information of the motor motion model using a novel parameter estimation algorithm, predicted by approach for multi-degree prediction. Stability, validity and robustness against exogenous disturbance are proved for nonlinear systems with vaguely known dynamics by the simulation examples and real experiments.
Starting Page	1
Ending Page	5
File Size	394840
Page Count	5
File Format	PDF
ISBN	9781424451777
DOI	10.1109/ICEMS.2009.5382669
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-15
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Programmable control Adaptive control Predictive control Permanent magnet motors Prediction algorithms Robust stability Position control Algorithm design and analysis Motion control linear motor adaptive predictive control model-free adaptive control nonlinear systems
Content Type	Text
Resource Type	Article

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