改进型模糊自整定比例积分微分温度控制系统

针对传统比例积分微分(PID)控制系统在温度控制中存在超调量大、处理时间长,以及温度的非线性、时变性和滞后性等问题,提出一种改进型的模糊自整定比例积分微分控制系统控制电炉温度.首先利用传统的PID控制器算法,计算出当前系统的误差及误差变化,再根据模糊推理和变论域的在线参数调整原理,修正比例参数、微分参数、积分参数,最后将这些参数传输到PID调节器输出控制电炉温度.通过对电炉在500℃与1 000℃时的控制仿真实验,结果表明改进型的模糊自整定PID控制算法对电炉温度控制的稳定性、鲁棒性更好,减少了温度波动对温度控制系统的影响.

System of temperature control based on fuzzy self-tuning proportional integral differential

Aimed at problems of the traditional proportional integral differential （PID） control system in temperature control, such as big overshoot, long-term adjustment, the characteristics of temperature nonlinearity, time variability, hysteresis and so on, a modified fuzzy self-tuning PID control system was presented to control furnace temperature. Firstly, the error of current system and the error change were calculated by using the traditional PID controller algorithm. Secondly, the proportional parameter, the differential parameter and the integral parameter were modified by the fuzzy reasoning and the principle of online parameter adjustment on variable universe. Finally, these parameters were transmitted to the PID regulator output to control furnace temperature. The control simulation experiments were carried out at temperatures in electric furnace of 500℃ and 1 000℃. The experiments prove that the fuzzy self-tuning PID control algorithm has better stability and robustness, and reduces the influence of temperature fluctuation on the temperature control system.