Cooperative fuzzy model predictive control

In this work a distributed Cooperative Fuzzy Model Predictive Control (CFMPC) scheme for building heating control is presented. The dynamical non-linear building model is described by a local linear model network (LLMN). These LLMNs are described by Takagi-Sugeno-(TS-) Fuzzy-models. These TS-Fuzzy-models represent the non-linear complex building model with local linear models, which are easy to handle by a model predictive control (MPC) strategy. Because of the non-linearity the resulting MPC is given by a fuzzy MPC (FMPC). In this work a specific building is given, which is split into two zones and one coupling zone. The two zones are controlled by fan coils and the coupling zone is controlled by a thermally activated building system (TABS) which manipulates the temperature of the concrete core. Because of the coupling zone a relaxation and a cooperative control strategy were chosen. The cooperative iteration update defines a manipulated variable TABS as a disturbance for the other FMPCs and vice versa for the coupling MPC. Furthermore, MPC in general is effective for handling input and output constraints. Therefore, it is a useful tool for building control. Furthermore, a specific demonstration building is described and simulation results show the benefits of the presented controller strategy.