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Design of an optimal generalized predictive control system
Author(s) -
Naganawa Akihiro,
Kobayashi Eri,
Aida Kazuo,
Obinata Goro
Publication year - 2000
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/1520-6416(20010130)134:2<44::aid-eej6>3.0.co;2-l
Subject(s) - integrator , control theory (sociology) , model predictive control , servomechanism , optimal control , perturbation (astronomy) , control system , quadratic equation , optimal design , computer science , control engineering , mathematics , engineering , control (management) , mathematical optimization , bandwidth (computing) , artificial intelligence , computer network , physics , geometry , electrical engineering , quantum mechanics , machine learning
We propose a new design method for the generalized predictive control (GPC) system which achieves an optimal tracking performance. The objective is to design a control system which has similar feedback properties to a two‐degree‐of‐freedom optimal type‐1 servo system. The design procedure consists of two steps. First, we design the optimal GPC system without integrator which minimizes the quadratic performance index. Next, we incorporate the integrator into the control system which acts only in the case of existence of a disturbance or a plant perturbation. A numerical example and an application are given to illustrate the effectiveness of the proposed method by comparison with the conventional method. © 2000 Scripta Technica, Electr Eng Jpn, 134(2): 44–52, 2001