TY - JOUR
T1 - Application of Two degree-of-freedom generalized predictive control to temperature control experiment of an aluminum plate
AU - Yanou, Akira
AU - Okazaki, Satoshi
AU - Nishizaki, Junki
AU - Masuda, Shiro
AU - Minami, Mamoru
AU - Saito, Seiji
PY - 2012
Y1 - 2012
N2 - This paper explores an application of two degree-of-freedom generalized predictive control (GPC) to temperature control of an aluminum plate. Two degree-of-freedom GPC has the feature that its controller reveals an effect of integral compensation only if there is modeling error or disturbance. Therefore performance degradation due to an integral compensation, such as excessive control effort or slow response, can be expected to avoid. In this paper, this feature is defined as two degree-of-freedom system because the characteristics of output response with and without modeling error and disturbance can be designed independently, that is, on one hand the characteristic of output response without modeling error and disturbance is designed by minimization of objective function which includes control input and tracking error, on the other hand the characteristic of output response with modeling error and disturbance is designed by a gain of integral compensator. In order to verify the validity of proposed method, this paper explores numerical simulation and experiment for an aluminum plate thermal process with proposed method.
AB - This paper explores an application of two degree-of-freedom generalized predictive control (GPC) to temperature control of an aluminum plate. Two degree-of-freedom GPC has the feature that its controller reveals an effect of integral compensation only if there is modeling error or disturbance. Therefore performance degradation due to an integral compensation, such as excessive control effort or slow response, can be expected to avoid. In this paper, this feature is defined as two degree-of-freedom system because the characteristics of output response with and without modeling error and disturbance can be designed independently, that is, on one hand the characteristic of output response without modeling error and disturbance is designed by minimization of objective function which includes control input and tracking error, on the other hand the characteristic of output response with modeling error and disturbance is designed by a gain of integral compensator. In order to verify the validity of proposed method, this paper explores numerical simulation and experiment for an aluminum plate thermal process with proposed method.
KW - Generalized predictive control
KW - Process control
KW - Two degree-of-freedom
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U2 - 10.1541/ieejeiss.132.879
DO - 10.1541/ieejeiss.132.879
M3 - Article
AN - SCOPUS:84866987865
VL - 132
SP - 879
EP - 885
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
SN - 0385-4221
IS - 6
ER -