Two degree-of-freedom of self-tuning Generalized Predictive Control based on state space approach using a genetic algorithm

Author

Yanou, Akira

Author_Institution

Sch. of Eng., Kinki Univ., Higashi-Hiroshima

fYear

2009

fDate

26-29 March 2009

Firstpage

410

Lastpage

415

Abstract

Generalized predictive control (GPC) achieves a robust tracking for step-type reference signal by including an integrator in advance. Although author has proposed a design scheme of two degree-of-freedom GPC system which reveals an effect of integral compensation only if there exists modeling error or disturbance, a gain for integral compensation must be selected by trial and error. In this paper, a new scheme of two degree-of-freedom of self-tuning GPC system is obtained by using a genetic algorithm for selection of integral gain.

Keywords

adaptive control; compensation; genetic algorithms; predictive control; robust control; self-adjusting systems; state-space methods; genetic algorithm; integral compensation; robust tracking; self-tuning generalized predictive Control; state space approach; step-type reference signal; two degree-of-freedom; Error correction; Genetic algorithms; Optimal control; Performance analysis; Predictive control; Predictive models; Robust control; Sampling methods; State-space methods; Weight control;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking, Sensing and Control, 2009. ICNSC '09. International Conference on

Conference_Location

Okayama

Print_ISBN

978-1-4244-3491-6

Electronic_ISBN

978-1-4244-3492-3

Type

conf

DOI

10.1109/ICNSC.2009.4919311

Filename

4919311