基于DMC-PID复合算法的温度控制器的设计

Design of a Temperature Controller Based on DMC-PID Combined Algorithm

为解决传统温度控制器中存在惯性大、滞后强、振荡周期长及余差消除困难等缺点,研究与设计了一种DMC-PID复合算法的控制器.用DMC预测算法在线滚动优化控制参数,同时在优化过程中利用实测信息不断进行反馈校正,充分发挥DMC算法的超前预测性和强鲁棒性以及PID控制算法的小范围温差快速跟随能力.详细地论述了DMC与PID算法原理,给出复合控制器的硬件组成结构以及单片机软件模块编程方法.实验表明,与传统PID控制器以及工业AI调节控制器相比,该控制器能有效减小温度跟随过程中的余差波动,超调量由8%下降为2%,惯性过渡时间由5.6s缩短为2.0s,从而提高了系统的动静态差控制性能.

In order to solve the disadvantages of the tradition temperature controller, such as big inertia, strong hysterics, long control cycle and difficulty in eliminating residual, a temperature controller was designed based on DMC-PID combined algorithm. DMC prediction algorithm is used to optimize the control parameters on rolling line, and the feedback adjustment is used to correct the prediction model by using real-time actual measurement information. Further more, it fully demonstrates the strong robustness,the predictability of DMC and the strong ability to quickly follow the small temperature difference of PID. The principle of DMC and PID algorithm is discussed in detail, the structure of the hardwares of the controller is discrihed, and the programming software modules of the single chip computer are presented are presented. The experiment shows that, compared with the traditional PID controller and the industrial AI adjusting controllers, the controller reduces effectively the residual volatility in the temperature tracking process, the overshoot decreases from 8% to 2%, and the inertia transition time ruduces from 5. 6 s to 2. 0 s. Therefore it improves the dynamic and static difference control performance of the system.