Fuzzy logic control and optimization system

Abstract

A control system (300) for optimizing a power plant includes a chemical loop having an input for receiving an input signal (369) and an output for outputting an output signal (367), and a hierarchical fuzzy control system (400) operably connected to the chemical loop. The hierarchical fuzzy control system (400) includes a plurality of fuzzy controllers (330). The hierarchical fuzzy control system (400) receives the output signal (367), optimizes the input signal (369) based on the received output signal (367), and outputs an optimized input signal (369) to the input of the chemical loop to control a process of the chemical loop in an optimized manner.

Description

technical field [0001] The present disclosure relates generally to control and optimization systems, and more particularly to hierarchical fuzzy logic control and optimization systems for solids transport in circulating fluidized bed systems or chemical looping systems. Background technique [0002] Fluidized bed combustion (FBC) is a combustion technology used in power generation plants, primarily for the combustion of solid fuels. FBC power plants are more flexible than conventional plants because they can burn coal, coal gangue or biomass, among other fuels. In general, FBC power plants evolved from the effort to find a combustion process capable of controlling pollutant emissions in the absence of external emission controllers such as scrubbers. Although FBC power plants have lower pollutant emissions than conventional combustion plants, ongoing efforts continue to seek to reduce pollutant emissions to even lower levels. [0003] Chemical cycling (CL) is another combus...

AI Technical Summary

Problems solved by technology

However, conventional fuzzy set-theoretic control systems are limited to the number of rules that can be memorized because an excessive number of rules overburdens the fuzzy logic decision-making process, effectively negating the advantage of using fuzzy logic

Thus, as power plant designs evolve and their processes become more complex, such as for CL-based power plants described above and in particular for multi-loop CL-based power plants, the number of variables involved increases significantly

Consequently, the number of required rules becomes unacceptable, and thus conventional fuzzy set theory control systems cannot optimally or efficiently control a certain process of a CL-based power plant, such as solids conveying

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