单神经元自适应炉温控制系统设计与仿真

DESIGN OF SELFADAPTING SINGLE NERVE CELL SYSTEM OF FURNACE TEMPERATURE CONTROL AND ITS SIMULATION

将单神经元的自学习和自适应能力与传统的 PID控制相结合 ,构成一种智能调节器 ,解决炉温控制中的大惯性和纯滞后问题 ,最后对所设计的控制器进行数字仿真 。

An intelligent controlling system used in furnace temperature control is designed by means of combining the capability of self-studying and selfadapting of single nerve cell with the traditional PID control so that the problems of large inertia and pure lag in furnace temperature control are solved. The realizability and validity of this system are proved through a designed simulation.