Optimal control of boiler combustion system based on expert system

The furnace temperature can fleetly reflect the combustion thermal efficiency of coal and the temperature is highest when coal burns most sufficiently, based on which, a method with optimal air blowing quantity offered by expert system in accordance with different combustion conditions is proposed. The knowledge acquisition, as the bottleneck of expert system, is completed using an improved genetic algorithm optimization. To avoid air-blowing confusion during the random search of genetic algorithm, the optimization seeking is processed off-line and the optimal results are fed to expert system, with which expert system decides the optimal air blowing quantity. The system operations normally on site and enhances the heat efficient by 2.6%.