会议专题

GRAY PREDICTIVE ADAPTIVE SMITH-PID CONTROL AND ITS APPLICATION

The superheated steam temperature system has the characteristics of high inertia, large delay and time-varying parameters. In this paper, adaptive Smith-PID based on gray prediction was used to deal with these problems. Adaline neural network was used to identify the objects gain and delay in order to overcome the defectiveness of time-varying parameters. Cray prediction module in the feedback loop, which can predict multiple steps of the feedback, can regulate the system previously. The gray predictive control can overcome the influences of model mismatch and enhance the robustness of the system. The simulation of superheated steam temperature system proved that the new method has effective control performance.

Adaptive Smith Control Gray Prediction Adaline Network Superheated Steam Temperature

DONG-NA SHI GUO PENG TENG-FEI LI

Dept.of Automation, North China Electric Power University, Beijing, 102206, China Beijing Tiancheng Corporation, Beijing, 102206, China

国际会议

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

昆明

英文

1980-1984

2008-07-12(万方平台首次上网日期,不代表论文的发表时间)