基于PSO的灰色组合预测的气化炉智能控制

摘要

针对生物质气化过程是一个具有非线性、非最小相位特征、不稳定性、大时滞和负荷干扰特点的动态过程，提出了一种基于PSO的灰色组合预测的炉温智能算法，首先，利用基于PSO的灰色预测的强自适应性，实时预测炉温变化，保证精确控制，在此基础上对炉温进行控制；同时引入模糊控制算法对气化炉一次风量进行控制，降低可燃气体含氧量。仿真和现场运行结果表明了该方法的有效性和优越性。%In view of biomass gasify process with nonlinear,non-minimum-phase,big delay and strong load interference character￣istics, an intel igent control algorithm based on PSO and gray combination prediction model is proposed. Firstly, the temperature is predicted by using the gray prediction with strong self-adaptive ability based on PSO and accurately control ed, based on the opti￣mized gray temperature model. Final y, the fuzzy control algorithm is used in the gasifier to control the primary flowing rate and re￣duce the oxygen content in the combustible gas. The validity and superiority are showed in the results of simulation and work site.