Zhang Jianming
State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems & Control, Zhejiang University, Hangzhou 310027, PR China.
ISA Trans. 2017 Mar;67:208-214. doi: 10.1016/j.isatra.2016.11.006. Epub 2016 Nov 25.
An improved proportional-integral-derivative (PID) controller based on predictive functional control (PFC) is proposed and tested on the chamber pressure in an industrial coke furnace. The proposed design is motivated by the fact that PID controllers for industrial processes with time delay may not achieve the desired control performance because of the unavoidable model/plant mismatches, while model predictive control (MPC) is suitable for such situations. In this paper, PID control and PFC algorithm are combined to form a new PID controller that has the basic characteristic of PFC algorithm and at the same time, the simple structure of traditional PID controller. The proposed controller was tested in terms of set-point tracking and disturbance rejection, where the obtained results showed that the proposed controller had the better ensemble performance compared with traditional PID controllers.
提出了一种基于预测函数控制（PFC）的改进型比例积分微分（PID）控制器，并在工业焦炉的炉膛压力上进行了测试。提出该设计的动机是，由于不可避免的模型/对象失配，具有时滞的工业过程的PID控制器可能无法实现期望的控制性能，而模型预测控制（MPC）适用于此类情况。本文将PID控制与PFC算法相结合，形成了一种新的PID控制器，该控制器具有PFC算法的基本特性，同时具有传统PID控制器的简单结构。对所提出的控制器进行了设定值跟踪和抗干扰测试，所得结果表明，与传统PID控制器相比，所提出的控制器具有更好的整体性能。
