基于Z-N算法的PID炉温控制

PID Furnace Temperature Control based on Z-N Algorithm

针对大惯性工业对象,设计了一种新的自适应PID调节器控制算法并应用于工业加热炉温度控制系统中,利用改进的Z-N算法,完成PID参数的初始值设定,利用测量误差改变调节器步长的方法实现PID参数的自动整定.实验结果表明,当实际温度距标定温度30℃时,利用这种PID参数自整定算法进行控制,可以使温度控制曲线在不同的阶段平滑过渡,使升温曲线平稳地过渡到恒温阶段.从控制结果上参数自调整PID控制结果几乎没有超调,稳定时间短,在设定的目标角度值附近振荡少.这种PID控制器无论在超调量还是稳定时间上都优于传统的PID控制器.

This paper aim at the big inertia industrial object, designed the PID controller, a new adaptive control algorithm and applied it to the industrial furnace temperature control system. It used improved Z-N algorithm to complete the initial numerical setting of PID Parameters and used the method of changing the regulators step in the measurement error to realize the self regulation of PID parameters. The experimental results show that using this PID self-tuning algorithm parameters can make temperature control curve smoothly changed at different stages when the actual temperature is close to 30℃ to the standard temperature and make the curve a smooth transition to the thermostats stage. Self-tuning PID control parameters results virtually have no overshoot and get stability in short time, and have less oscillation at the set target angle value. This PID controller is much better than the traditional one either in overshoot or time of stabilization.