关键词: 纯滞后, 神经网络, Smith预估控制, PID控制

Abstract: Aiming at the phenomena of big time delay are normally exist in industry control, this paper proposes an intelligent RBF-Smith-PID control based on RBF neural network algorithm and Smith predictive compensation algorithm and traditional PID controller. This method uses the ability of online-study, a self-turning control strategy of RBF neural network, and better control of Smith predictive compensation to deal with the big time delay, overcome the limitation of traditional PID control effectively, improve the system’s robustness and self-adaptability, get satisfactory control to deal with the big time delay system.

Key words: time-delay, neural network, Smith predictive control, PID control