置换蒸煮锅温度测量方法的改进及锅内温差控制

针对置换蒸煮锅温差难以消除这一难题,在传统蒸煮锅温度测量的基础上,提出一种新的温度测量方法,并将神经网络控制、PID串级控制和解耦控制有机地结合起来,提出一种神经网络PID串级解耦控制系统。解决了蒸煮锅温度控制时滞性、时变性和非线性等问题,应用Matlab仿真比较表明,该控制系统具有更好的动态性能和鲁棒性,其控制效果明显优于常规PID串级控制系统。

Improved Temperature Measurement and Temperature Difference Control of the Displacement Digester

Aiming at the difficulties of eliminating temperature difference in the displacement digester, this paper proposed a new method for measuring temperature based on the traditional digester temperature measurements. With combining neural network control, PID cascade control and decoupling control, a neural network PID cascade decoupling control system was proposed. The problems of time delay, time-varying and nonlinear in digester temperature control were solved, Matlab simulation comparison showed that the neural network PID cascade control system had better dynamic performance and robustness, its control performance was superior to the normal PID control system.