Fuzzy controller design for municipal incinerators with the aid of genetic algorithms and genetic programming techniques

Abstract

Mass bum waterwall incinerator has been the most widely used technology for processing the municipal solid waste (MSW) streams in many metropolitan regions since 1970. Not only the heterogeneity of physical composition and chemical property of the MSW but also the complexity of combustion mechanism would significantly influence the performance of waste incineration. As a result, a successful operation requires an advanced combustion control system for handling many uncertain factors. Conventional automatic combustion control (ACC) technology was found to be insufficient to handle such a highly nonlinear system. The successful applications of those intelligent combustion control (ICC) technologies, such as fuzzy control technology, for reducing the operational risk have received wide attention in recent years. This paper illustrates the principles, algorithms, and application potentials of the genetic fuzzy controller that is particularly designed for improving the traditional fuzzy control logic with the aid of genetic algorithms/genetic programming techniques. Practical implementation of this methodology was assessed by a simulation analysis based on three representative types of mass bum waterwall incinerators in Taiwan. It indicates that the quality of combustion control in those three municipal incinerators can be possibly enhanced via the use of genetic fuzzy control logic. The application of such a hybrid fuzzy control technology can be easily extended to many other types of industrial incinerators, such as modular, rotary kiln, and fluidized bed incinerators, by a slightly different approach.

Developing a fuzzy decision support system to determine the location of a landfill site

“…Optimization analysis for waste management employing fuzzy sets were used in Koo et al (1991), Chang et al (1997) and Chang & Wei (2000). Fuzzy sets have also been applied in other environmental applications as a logic controller of waste incinerators Chen, 2000 andChen et al 2002). Recent studies combined geographic information systems (GIS), fuzzy logic and multi-criteria evaluation techniques in many environmental applications.…”