SCI和EI收录∣中国化工学会会刊

›› 2009, Vol. 17 ›› Issue (2): 241-250.

• • 上一篇    下一篇

A Pragmatic Approach for Assessing the Economic Performance of Model Predictive Control Systems and Its Industrial Application

赵超, 苏宏业, 古勇, 褚建   

  1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
  • 收稿日期:2008-01-07 修回日期:2008-12-24 出版日期:2009-04-28 发布日期:2009-04-28
  • 通讯作者: SU Hongye,E-mail:hysu@iipc.zju.edu.cn
  • 基金资助:
    Supported by the National Creative Research Groups Science Foundation of China (60421002);National Basic Research Program of China (2007CB714000)

A Pragmatic Approach for Assessing the Economic Performance of Model Predictive Control Systems and Its Industrial Application

ZHAO Chao, SU Hongye, GU Yong, CHU Jian   

  1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
  • Received:2008-01-07 Revised:2008-12-24 Online:2009-04-28 Published:2009-04-28
  • Supported by:
    Supported by the National Creative Research Groups Science Foundation of China (60421002);National Basic Research Program of China (2007CB714000)

摘要: In this article,an approach for economic performance assessment of model predictive control(MPC) system is presented.The method builds on steady-state economic optimization techniques and uses the linear quadratic Gaussian(LQG) benchmark other than conventional minimum variance control(MVC) to estimate the potential of reduction in variance.The LQG control is a more practical performance benchmark compared to MVC for performance assessment since it considers input variance and output variance,and it thus provides a desired basis for determining the theoretical maximum economic benefit potential arising from variability reduction.Combining the LQG benchmark directly with benefit potential of MPC control system,both the economic benefit and the optimal operation condition can be obtained by solving the economic optimization problem.The proposed algorithm is illustrated by simulated example as well as application to economic performance assessment of an industrial model predictive control system.

关键词: economic performance assessment, model predictive control, linear quadratic Gaussian benchmark, steady-state model based optimization

Abstract: In this article,an approach for economic performance assessment of model predictive control(MPC) system is presented.The method builds on steady-state economic optimization techniques and uses the linear quadratic Gaussian(LQG) benchmark other than conventional minimum variance control(MVC) to estimate the potential of reduction in variance.The LQG control is a more practical performance benchmark compared to MVC for performance assessment since it considers input variance and output variance,and it thus provides a desired basis for determining the theoretical maximum economic benefit potential arising from variability reduction.Combining the LQG benchmark directly with benefit potential of MPC control system,both the economic benefit and the optimal operation condition can be obtained by solving the economic optimization problem.The proposed algorithm is illustrated by simulated example as well as application to economic performance assessment of an industrial model predictive control system.

Key words: economic performance assessment, model predictive control, linear quadratic Gaussian benchmark, steady-state model based optimization