CAJ | 학술논문

针对特定碳粉燃烧器中设定温区不同温度值难以采用常规控制算法解决的问题,提出了利用燃烧室不同位置测量温度作为输入,碳粉送进机构以及进气量控制为输出,基于多变量控制系统的特点建立了BP神经网络数学模型,利用PID神经网络控制建立系统的解耦模型,以不同热区温度设定值和燃烧器温度值为解耦模型输入参量,将系统解耦模型的输出作为BP神经网络控制系统的输入值,对燃烧过程进行控制,仿真结果表明该方法具有较好的控制特性.
침대특정탄분연소기중설정온구불동온도치난이채용상규공제산법해결적문제,제출료이용연소실불동위치측량온도작위수입,탄분송진궤구이급진기량공제위수출,기우다변량공제계통적특점건립료BP신경망락수학모형,이용PID신경망락공제건립계통적해우모형,이불동열구온도설정치화연소기온도치위해우모형수입삼량,장계통해우모형적수출작위BP신경망락공제계통적수입치,대연소과정진행공제,방진결과표명해방법구유교호적공제특성.
In order to solve the problem of holding a certain place for temperature gradient of charcoal powder burning room, this paper introduces a kind of new method which keeps measurement data as input of control system and capacity of charcoal powder and gas. Based on multivariable control systems, a new BP neural network is built and PID Neural Networks can be used as system decoupling model so as to keep different temperature data of each parts for Charcoal powder burning room and burning temperature as input, and decoupling model output as BP neural networks input to simulate this process. The result shows that the method is beneficial to the temperature control.