An algorithm of simulating human intelligent control for combustion system

An intelligent algorithm is proposed for an industrial boiler control system. By intelligently reforming a classical PID control algorithm, a better static and dynamic performance is achieved. Based on human knowledge, taking in human experience about the ratio of air to coal consumed, by adjusting and calculating the set value, and through computer self learning, the good performance of overall smooth optimization of combustion efficiency is obtained.