Two degree-of-freedom of Generalized Predictive Control based on polynomial 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

492

Lastpage

497

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 GPC system based on polynomial approach is obtained by using a genetic algorithm for selection of integral gain.

Keywords

compensation; control system synthesis; genetic algorithms; polynomials; predictive control; tracking; degree-of-freedom; generalized predictive control; genetic algorithm; integral compensation; integral gain selection; modeling disturbance; modeling error; polynomial approach; robust tracking; step-type reference signal; two degree-of-freedom; Control systems; Design methodology; Error correction; Genetic algorithms; Performance analysis; Polynomials; Predictive control; Robust control; Search methods; Signal design;

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.2009.4919325

Filename

4919325