基于模糊微分先行PID算法的温度控制研究

摘要

在工业生产中，温度控制直接影响被控对象的生产效率和产品质量。针对目前温度控制中存在的非线性、大惯性、大滞后、难以建立精确的数学模型等特点，提出一种模糊微分先行PID控制算法，在微分先行PID控制器之前加上模糊控制器，对控制达到调节的效果，使得控制输出量的变化在受到干扰时较单纯的微分先行PID控制作用大。试验结果表明，该方法有效缩减了自整定时间，表现出更好的抗干扰能力和控制效果，具有广泛的实际应用价值。%In industrial productions, the production efficiency and product quality of controlled objects are directly affected by temperature control. Because of the features that currently exist in temperature control, such as nonlinearity, large inertia and time delay, accurate mathematical model is difficult to be established,thus the fuzzy differential forward PID control algorithm is proposed. With this algorithm,the fuzzy controller is added prior to the differential forward PID controller for adjusting the control effect;the control action may be stronger than of the simple differential forward PID controller when the process is disturbed. The test results show that the proposed method effectively reduces the self-tuning period,and improves the anti-interference capability and control effect,it offers a wide range of practical application value.