【作者】 任芳；

【导师】 郭奇；

【作者基本信息】 燕山大学 ， 化工过程机械， 2011， 硕士

【摘要】 本文以实验室中引进的浙江中控公司生产的AE2000实验装置中的电加热锅炉夹套为研究对象,夹套温度控制具有典型的滞后性、非线性、易受扰动等特点。常规PID控制难以达到理想的控制效果,利用内模PID和模糊控制原理设计出模糊自适应内模控制方案对其进行控制。建立了被控对象的数学模型、滤波器时间常数整定模糊规则,通过模糊规则在线调整滤波器时间常数,改善闭环控制系统的性能。在Matlab仿真软件中建立常规PID控制和模糊自适应内模控制的仿真模型,不断调整对控制性能有影响的相关参数,在模型匹配与失配两种情况下将常规PID控制效果模糊自适应内模控制效果进行比较。在浙江中控公司研发的JX-300XP DCS平台上进行二次开发,完成系统I/O组态、自定义控制方案组态、流程图绘制、报表组态等,采用SCX语言进行模糊自适应内模控制算法的编程设计,进行相关的控制实验并调试。在实际运行中与常规PID控制结果相比较。实验结果表明,无论在Matlab仿真环境中还是在DCS实际应用中,模糊自适应内模控制系统的响应迅速、超调基本为零、调节时间短、稳定精度高、抗干扰能力及鲁棒性强。由此可以看出模糊自适应内模控制系统的动态响应品质、稳态特性及抗干扰性和鲁棒性等几个重要参数和常规PID控制相比都有更好的控制效果。更多还原

【Abstract】 In this paper, we make the interlayer of the boiler in AE2000 process control device produced by Zhejiang SUPCON Electronic Technology Co. as object. The interlayer temperature control has characteristics of lag, nonlinear, vulnerable to disturbance and so on. Considering that the PID control is not effective to the temperature control, a fuzzy adaptive internal model control method based on internal model control and fuzzy control is designed. We establish the mathematical model of the object and fuzzy adjusting rules of the filter’s time. The filter’s time is adjusted online through the fuzzy rules to improve the performance of control system.We create PID control and fuzzy adaptive internal model control simulation models in Matlab, and continuously adjust the control parameters that affect control performance, and compare the effect when the model is matching and mismatching.We make the JX-300XP DCS produced by Zhejiang SUPON Electronic Technology Co. as platform for secondary development, complete the system I/O configuration, the definition of control scheme configuration, the report configuration, and draw the flowchart, etc.,We design the program of the fuzzy adaptive internal model control method using SCX language, experiment and debug in DCS. Compare results with PID control in actual operation.The results show that the fuzzy adaptive internal model control performs faster response, zero overshoot, shorter adjustment time, higher steady accuracy, better resistance and robustness both in the Matlab simulation environment and in the practical application of DCS. It is better than PID control on the aspects of dynamic response, stability, resisting jam and robustness.更多还原