Decoupling Multivariable GPC With Reference Observation
Abstract
This paper deals with an algorithm for decoupling multivariable systems based on generalized predictive control. Proposed control algorithm uses adaptive error weighting in cost function and reference change observation. From filtered reference it auto-tunes weight coefficients in order to reduce decoupling between control loops. The algorithm is applied to greenhouse climate control : obtained simulation results show its efficiency.
Type
Publication
Proceedings of the 10th Mediterranean Electrotechnical Conference, MELECON 2000
