燃气辊道窑炉燃烧过程的强鲁棒性控制

摘要

It is difficult to use PID control for the combustion process of gas roller kiln because of its uncertainty and complexity. To solve this problem, the strong robustness control strategy based on human simulated intelligent control ( HSIC ) is investigated. The mechanism characteristics of each heating section in furnace temperature system are analyzed, and the technical bottleneck faced by furnace temperature control is pointed out. Based on intelligent control, the robustness control strategy is discussed, and the control algorithm with adaptability is built. With the temperature control system of roller kiln of denitration catalyst as example, for the same combustion process simulation and inter-comparison are conducted respectively by using PID control and robustness control, the experiments verify the excellent temperature tracking, control quality and adaptability of the strong robustness control strategy. The research result indicates the strong robustness control strategy proposed is feasible and reasonable.%为了克服燃气辊道窑炉燃烧过程因复杂不确定性导致的难以采用PID控制的难题，探讨了一种基于仿人智能的强鲁棒性控制策略，剖析了炉温系统各加热段的机理特性，指出了炉温控制面临的技术瓶颈。基于智能控制讨论了鲁棒控制策略，构造了具有自适应性的控制算法。以脱硝催化剂辊道窑温度控制为例，分别采用PID与强鲁棒性控制策略对同一燃烧过程进行了仿真对比研究，试验验证了强鲁棒性控制策略良好的温度跟踪控制品质与适应性。研究结果表明，所提出的强鲁棒性控制策略是可行与合理的。