模糊自适应内模PI控制算法在小型生物质锅炉控制系统中的应用
Application of Fuzzy Adaptive Internal Model PI Controller in Control System of Small Biomass Boiler

生物质锅炉是主要的热能转化设备，锅炉温度作为评价设备运行状况的重要指标之一，其控制系统品质的好坏直接影响到锅炉的安全性和经济性。考虑到生物质燃料锅炉温度控制系统存在非线性、大时滞、强耦合、多干扰等问题，提出一种基于模糊自适应内模PI控制的温度控制策略。该算法采用模糊自适应PI控制，结合内模控制算法，配合低阶滤波器，并通过MATLAB工具箱进行了系统的仿真实验。实验结果表明：同常规PI、模糊PI及内模PI控制方法相比，该控制器能够极大地改善温度控制系统的控制品质，响应快速，控制精准，鲁棒性强，能够应用于工业的实际生产。
Biomass boiler is the main heat energy conversion equipment, and the boiler temperature is one of the important indexes to evaluate the operation status of the equipment, and the quality of its control system directly affects the safety and economy of the boiler. Considering the problems of nonlinearity, large time delay, strong coupling and multi-interference in the temperature control system of biomass fuel boiler, a temperature control strategy based on fuzzy adaptive internal model PI control is proposed. The algorithm adopts fuzzy adaptive PID control, combined with internal model control algorithm and low-order filter, and carries out systematic simulation experiments through MATLAB toolbox. The experimental results show that compared with conventional PI, fuzzy PI and internal model PI control methods, the controller can greatly improve the control quality of the temperature control system, with fast response, accurate control and strong robustness, and can be applied to industrial production.