吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊1): 264-269.

• paper • Previous Articles     Next Articles

Approach to nonlinear predictive functional control using wiener models

CHEN Jin-dong, ZHANG Xiang-sheng, PAN Feng   

  1. Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi 214122, China
  • Received:2011-05-20 Online:2011-09-01 Published:2011-09-01

Abstract:

The traditional predictive function control(PFC) can't control the nonlinear and changeful object effectively;a nonlinear PFC approach based on Wiener model was developed.Support vector machine regression(SVMR) was applied to model the inverse of nonlinear part of Wiener models,add this model to output feedback and reference trajectory route.The nonlinear control problem was simplified to a linear one by using the inverse of nonlinearity,and complicated nonlinear optimization was avoided.The simulation results of pH neutralization process show that this approach is more effective than PID,and is robust to model mismatch.

Key words: automatic control technology, nonlinear system, predictive functional control, Wiener model, inverse model

CLC Number: 

  • TP13


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