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APPLICATION OF ADAPTIVE PREDICTIVE CONTROL TO A SHAKER CONVEYOR FOR TRANSPORTATION OF PLASTIC BEADS
Author(s) -
UNBEHAUEN H.,
KRÄMER K.
Publication year - 1997
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/(sici)1099-1115(199705)11:3<217::aid-acs430>3.0.co;2-7
Subject(s) - model predictive control , computer science , shaker , noise (video) , sensitivity (control systems) , algorithm , control (management) , control theory (sociology) , engineering , artificial intelligence , physics , image (mathematics) , quantum mechanics , electronic engineering , vibration
After having briefly portrayed the basic principles of predictive control, three adaptive predictive control algorithms–the GPC algorithm and two new modifications of it proposed by the authors, called the MGPC (modified GPC) algorithm and the DGPC (direct GPC) algorithm—will be discussed. The main disadvantage of the GPC algorithm, namely the noise sensitivity, will be highlighted, when the real‐time application to a plant with variable dead‐time, a shaker conveyor system for transportation of plastic beads, will be studied. Both new algorithms proposed here show good behaviour in reducing the computational burden and achieving a better disturbance rejection than the direct application of the GPC algorithm. © 1997 by John Wiley & Sons, Ltd.