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Generalized Predictive Control With Predictive Error Correcting And Increasing Factor

Posted on:2002-12-20Degree:MasterType:Thesis
Country:ChinaCandidate:W JiangFull Text:PDF
GTID:2168360032957370Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Generalized Predictive Control (GPC) is a new computer control algorithm, which has made great progresses from its introduction since 1980's. It is capable of stable control progresses with nonminimum_phase and open_loop unstable plants. Though GPC has excellent control performance and robustness, the common GPC algorithm has some drawback, it rarely considers of the influence on system stability and robustness caused by online identification and rolling optimization. Some achievements have been got in GPC algorithm with good robustness in recent year, but they are not good enough. The algorithm presented in the paper is on the basis of this point. In this paper a GPC algorithm proposed with predictive error correcting and increasing factor, which is capable of enhancing the system robustness by predictive error, meanwhile, it can also improve the control effect by selecting proper increasing factor, as well as the system stability and robustness.This paper firstly introduces several typical GPC algorithm, then carefully deduces the GPC algorithm with predictive error and increasing factor and get some formula. The results of simulation indicate that the algorithm proposed inthis paper is capale of improving the control performance, promoting thesystem stability and robusiness, and they also show that the promoting algorithmis effective and feasible.
Keywords/Search Tags:GPC, predictive control, intemal model control, robustness, Diophantine formula, nonmimum phase plant
PDF Full Text Request
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