Simulation Research on Self-Adaptive Dynamic Optimizing Control for Step Change of Parameters of Control Plant

  • Guoqiang Li
  • Yuanfeng Zhang
  • Yongqin Liu
  • Wenjiang Liu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 138)


All effects on self-adaptive dynamic Optimizing control system from step change and drift of every parameter of control plant and control method are discussed in detail. Theoretical analysis and simulation research show that whichever suitable step period \( T_{0} \) is selected and the parameter of pure time \( \tau<T_{0} /2 \) delay is satisfied, the simple, convenient and practical self-adaptive dynamic optimizing method for an extremum value control system is feasible, regardless of the parameters of control plant step and drift. It can solve a never-evading problem in the practical industrial process by using the previous method. The problem is that accurate identification of the parameters and order of linear part in the extremum value control system is too difficult. The method in this paper only needs much less a priori information concerning the controlled plant. This new method can automatically not only identify the parameters of control plant, but can also automatically adapt to the drift of the parameters. So it is very simple, convenient and practical to be realized in the real industrial process.


Step of parameters Simulation Self-adaptive search Simple and practical 



This work was supported by the National Natural Science Foundation of China (NO. 69374030), Natural Science Foundation of Science and Technology Department of Shaanxi Province (2011JM8021), and Natural Science Foundation of Education Department of Shaanxi Province (2010JK533).


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Copyright information

© Springer-Verlag London Limited  2012

Authors and Affiliations

  • Guoqiang Li
    • 1
  • Yuanfeng Zhang
    • 1
  • Yongqin Liu
    • 1
  • Wenjiang Liu
    • 2
  1. 1.School of Physics and Electrical EngineeringWeinan Normal UniversityWeinanChina
  2. 2.Automatic Control DepartmentXi’an Jiaotong UniversityXi’anChina

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