Decoupled Temperature Control System Based on PID Neural Network
نویسندگان
چکیده
In this paper, the author analyzes the characteristics of the temperature control systems in industry, which have long delay time, large time constants and strong couple affects. The author then introduces a Proportional, Integral and Derivative neural networks (PIDNN) and lets PIDNN be a multivariable controller. The simulation results for a three-stage heater in a plastic injection machine are shown. It is proved that the PID neural network has perfect decoupling and self-learning control performances in the coupled temperature system.
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تاریخ انتشار 2005