Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (5): 1127-1139.doi: 10.16182/j.issn1004731x.joss.20-0717

• Modeling Theory and Methodology • Previous Articles     Next Articles

Simulation of Navigation Process Based on Nonlinear Observer

Zhiwei Wang1,2(), Jizong Hu1, Fengjie Wang3, Jie Huang2()   

  1. 1.Project Management Center of PAP, Beijing 100161, China
    2.Engineering University of PAP, Xi’an 710086, China
    3.Unit 63870 of PLA, Huayin 714200, China
  • Received:2020-09-18 Revised:2020-11-20 Online:2022-05-18 Published:2022-05-25
  • Contact: Jie Huang E-mail:wzw505869351@126.com;fktj2019@163.com

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.

Key words: strapdown inertial navigation system (SINS), semi-global uniform exponential stability, nonlinear observer (NOB), global navigation satellite system (GNSS) aided navigation, multiplicative extended Kalman filter

CLC Number: