A fuzzy PI controller is proposed as an alternative to a PI traditional controller for regulation and control of a small-scale fluidized bed cogeneration system driven by two renewable energy sources: direct solar and biomass combustion. The design of the fuzzy logic controller, with Sugeno inference method, was based on the knowledge of the more relevant continuity diagrams of the process model, characterized by nonlinearity and parameter variability. The simulation results show that the PI fuzzy logic controller delivers a higher performance, in terms of robustness and response speed, compared with the traditional PI controller. It is proved that the use of PI fuzzy controllers can be a good choice for the control of nonlinear processes with parameters varying in time
Fuzzy control of a biomass-fired and solar-powered fluidized bed prototype as a residential cogeneration System
Cosenza B
2014-01-01
Abstract
A fuzzy PI controller is proposed as an alternative to a PI traditional controller for regulation and control of a small-scale fluidized bed cogeneration system driven by two renewable energy sources: direct solar and biomass combustion. The design of the fuzzy logic controller, with Sugeno inference method, was based on the knowledge of the more relevant continuity diagrams of the process model, characterized by nonlinearity and parameter variability. The simulation results show that the PI fuzzy logic controller delivers a higher performance, in terms of robustness and response speed, compared with the traditional PI controller. It is proved that the use of PI fuzzy controllers can be a good choice for the control of nonlinear processes with parameters varying in timeI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
