Title :
Two degree-of-freedom of self-tuning Generalized Predictive Control based on state space 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 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;
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.2009.4919311
