Control Study of Improvement on Grey Predictive Model in Large Time Delay Process
Based on ideals of improving on forecasting of the grey model ,an improved grey forecasting algorithm was given. The model was built by using data accumulation with weighted method , and the model is improved by changing the initiate condition. The coefficient of the GM(1 ,1)model is applied to determine the prediction steps. By combining GM(1 ,1)model with PID , the grey predicting control system for controlling the large time delay process is proposed. The results of simulation show that , comparing with traditional PID control method , the proposed algorithm has better flexibility and robustness , and also can fairly improve the control performances.
Grey prediction weighted method Large time delay process
Liu Junfeng Xia Junjian Hu Baoan Zhang Xinwei
Department of Basic Science, Military Transportation University, Tianjin 300161
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
896-898
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）