Journal of System Simulation
Abstract
Abstract: In order to solve the problem that the scope of using thetraditional observers is limited by assumptions, in the process of establishing the observer, a parameter projection relationship is designed and added to the observer to keep it under the condition of not being constrained by the assumptions. It is semi-globally stable, and the estimation process is more direct, which makes the parameter estimation process under nonlinear conditions converge faster. The simulation results show that the computational complexity of the nonlinear observer is reduced by nearly 80% compared with the multiplicative extended Kalman filter. The experimental results show that the estimation accuracy of the nonlinear observer is comparable to that of the multiplicative extended Kalman filter, and it can effectively improve the real-time performance of parameter estimation, save time, and improved navigation efficiency.
Recommended Citation
Wang, Zhiwei; Hu, Jizong; Wang, Fengjie; and Huang, Jie
(2022)
"Simulation of Navigation Process Based on Nonlinear Observer,"
Journal of System Simulation: Vol. 34:
Iss.
5, Article 19.
DOI: 10.16182/j.issn1004731x.joss.20-0717
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss5/19
First Page
1127
Revised Date
2020-11-20
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0717
Last Page
1139
CLC
TP391.9
Recommended Citation
Zhiwei Wang, Jizong Hu, Fengjie Wang, Jie Huang. Simulation of Navigation Process Based on Nonlinear Observer[J]. Journal of System Simulation, 2022, 34(5): 1127-1139.
DOI
10.16182/j.issn1004731x.joss.20-0717
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