Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (6): 1330-1342.doi: 10.16182/j.issn1004731x.joss.21-0056

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Application of Observability in Performance Evaluation of Photosynthesis Model

Hongnai Gao(), Lijiang Fu, Qian Xia, Ya Guo()   

  1. School of Internet of Things Engineering, Jiangnan university, Wuxi 214122, China
  • Received:2021-01-19 Revised:2021-04-15 Online:2022-06-30 Published:2022-06-16
  • Contact: Ya Guo E-mail:gaohongnai@163.com;guoy@jiangnan.edu.cn

Abstract:

The photochemical reaction of photosynthesis involves a variety of physiological substances that cannot be directly measured. By modeling the control system, the state of these physiological substances can be es-timated based on the chlorophyll fluorescence, but the reliability of the state estimation is not given in all the reference documents. In response to this problem, based on the photochemical reaction kinetic model, the observability of the nonlinear system is introduced to evaluate the reliability of the state estimation. Aiming at the existing observability methods lacking the direct comparability due to the different dimensions of the components of different states, the method of magnitude impact factor and logarithmic normalization is adopted to eliminate the impact of magnitude to improve the observability measurement of the model and strategy is proposed to improve the system observability. The simulation results show that the new observ-ability index is basically consistent with the error characteristics of the state estimation, which can better evaluate the state estimation effect of the model.

Key words: photosynthesis, nonlinear system, observability, state estimation, reliability assessment

CLC Number: