Title :
Two degree-of-freedom of Generalized Predictive Control based on polynomial approach using a genetic algorithm
Author_Institution :
Sch. of Eng., Kinki Univ., Higashi-Hiroshima
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;
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
DOI :
10.1109/ICNSC.2009.4919325
