石灰窑温度智能控制系统设计

Design of Intelligent Temperature Control System of Limekiln

提出了一种石灰窑燃烧室温度智能控制系统的设计方案。该系统以下燃烧室温度为控制目标,以煤气流量为调节对象,通过模糊神经网络动态调整煤气流量设定值,采用粒子群优化算法对模糊神经网络的参数进行寻优,并采用最小二乘支持向量机逆控制系统对煤气流量进行跟踪控制,实现了对石灰窑下燃烧室温度的精确控制。仿真结果表明,该系统响应速度快,稳定性好,具有很好的抗干扰性和鲁棒性。

The paper proposed a design scheme of intelligent temperature control system of combustion chamber of limekiln. The system takes temperature of lower combustion chamber as control objective and gas flow as adjusting object, uses fuzzy neural network to dynamically adjust setting value of gas flow, uses particle swarm optimization algorithm to achieve optimization of parameters of the fuzzy neural network, and uses inverse control system of the least squares support vector machine to track and control gas flow, and it achieves precise control of temperature of the combustion chamber of limekiln. The simulation result showed that the system has fast response, good stability, strong anti-interference ability and robustness.