A furnace temperature self-learning control method for a coal gasification furnace system

Abstract

The invention discloses a furnace temperature self-learning control method for a coal gasifier system. The furnace temperature self-learning control method comprises the following steps: constructing a data-based furnace temperature self-learning system model for the coal gasifier system to determine the furnace temperature change of a coal gasifier; using a three-layer BP (Back Propagation) neural network to construct a coal-quality model inputted with the content ratio of elements in the coal to determine the coal quality; using the three-layer BP neural network to construct an input quantity reference control model to determine the input reference quantity of the coal gasifier system; converting the error of the constructed furnace temperature self-learning system model for the coal gasifier system, the error of the coal quality model, the error of the input quantity reference control model and external disturbance of the system into the disturbance control variable of the furnace temperature self-learning system control model for the coal gasifier system; creating an optimal control solving function under the condition that the disturbance control variable has greatest influence on the system temperature control error on the basis of an iterative self-adaptive dynamic programming self-learning optimum control method, so as to finally achieve the system control.

Description

technical field [0001] The invention belongs to the technical field of coal gasification furnaces, in particular to a furnace temperature control method for coal gasification furnaces, in particular to a method for self-learning optimal control of the gasification furnace temperature through operating data of a gasification furnace system. Background technique [0002] Coal gasifier, also known as coal-water slurry gasifier, is a special equipment that uses coal or coke as raw material, oxygen and water vapor as gasification agent, and performs oxidation-reduction reaction in a fixed bed to generate mixed gas. It can be widely used. In metallurgy, machinery, chemical industry, building materials, ceramics and other industries. Its working process: the coal-water slurry is pumped into the nozzle, where it is crushed and atomized by the high-pressure and high-speed oxygen flow and enters the coal gasifier. In the coal gasifier, after the mist coal water slurry and oxygen are ...

AI Technical Summary

Problems solved by technology

However, in the actual production process, the coal gasifier equipment is huge, the furnace temperature is high, the reaction is violent, and the time lag is serious, which makes it difficult to establish the mathematical mechanism model of the gasifier, which brings great benefits to the optimization and control of the gasifier system. Difficulties

Images