Xu Min, Li Shaoyuan, Qi Chenkun, Cai Wenjian
Institute of Automation, Shanghai Jiao Tong University, Shanghai, China.
ISA Trans. 2005 Oct;44(4):491-500. doi: 10.1016/s0019-0578(07)60056-1.
In this paper, a novel two-layer online auto-tuning algorithm is presented for a nonlinear time-varying system. The lower layer consists of a conventional proportional-integral-derivative (PID) controller and a plant process, while the upper layer is composed of identification and tuning modules. The purpose of the upper layer is to find a set of optimal PID parameters for the lower layer via an online receding horizon optimization approach, which result in a time-varying PID controller. Through mathematical analysis, the proposed system performance is equivalent to that of a standard generalized predictive control. Simulation and experiment demonstrate that the new method has a better control system performance compared with conventional PID controllers.
本文针对非线性时变系统提出了一种新颖的两层在线自动整定算法。下层由传统的比例积分微分（PID）控制器和一个对象过程组成，而上层则由辨识和整定模块构成。上层的目的是通过在线滚动时域优化方法为下层找到一组最优的PID参数，从而得到一个时变的PID控制器。通过数学分析，所提出的系统性能与标准广义预测控制的性能相当。仿真和实验表明，与传统的PID控制器相比，新方法具有更好的控制系统性能。
