TY - CHAP U1 - Buchbeitrag A1 - Gaida, Daniel A1 - Wolf, Christian A1 - Bäck, Thomas A1 - Bongards, Michael T1 - Multi-objective nonlinear model predictive substrate feed control of a biogas plant T2 - Kompendium der Forschungsgemeinschaft :metabolon 2012-2014 N2 - In this paper a closed-loop substrate feed control for agricultural biogas plants is proposed. In this case, multi-objective nonlinear model predictive control is used to control composition and amount of substrate feed to optimise the economic feasibility of a biogas plant whilst assuring process stability. The control algorithm relies on a detailed biogas plant simulation model using the Anaerobic Digestion Model No. 1. The optimal control problem is solved using the state-of-the-art multi-objective optimization method SMS-EGO. Control performance is evaluated by means of a set point tracking problem in a noisy environment. Results show, that the proposed control scheme is able to keep the produced electrical energy close to a set point with an RMSE of 0.9 %, thus maintaining optimal biogas plant operation. KW - Biogas KW - Biogas KW - Control KW - Optimization KW - Multi-objective optimization KW - Algorithm KW - Plant Simulation Y1 - 2014 U6 - https://nbn-resolving.org/urn:nbn:de:hbz:832-epub4-6622 UN - https://nbn-resolving.org/urn:nbn:de:hbz:832-epub4-6622 CY - Gummersbach ER -