Advanced Evolutionary Optimization for Intelligent Modeling and Control of Fbc Process Udc 66.096.5, 519.673, 681.51
نویسندگان
چکیده
In this paper, the computationally intelligent modeling approach for fluidized bed combustion process is considered, as well as intelligent process control based on developed models and soft computing methodologies. Applied genetic optimization and fuzzy modeling approach are combined with proposed intelligent control strategies. Efficient fuzzy nonlinear FBC process modeling by combining several linearized models is presented, as well as fuzzy and conventional process control systems optimized by real coded genetic algorithms. The obtained results indicate that the computationally intelligent approach can be successfully applied for modeling and control of such a complex fluidized bed combustion process.
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