Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   MODARES MECHANICAL ENGINEERING   JULY 2017 , Volume 17 , Number 4 ; Page(s) 315 To 321.
 
Paper: 

THE HYBRID UNSCENTED/H KALMAN FILTER IN STATE ESTIMATION OF NONLINEAR PROBLEMS

 
 
Author(s):  TEHRANI MOHAMMAD, NARIMANZADEH NADER, MASOUMNEZHAD MOJTABA*
 
* DEPARTMENT OF MECHANICAL ENGINEERING, TECHNICAL AND VOCATIONAL UNIVERSITY, RASHT, IRAN
 
Abstract: 

The early success in the 1960s of the Kalman filter in aerospace applications led to attempts to apply it to more common industrial applications in the 1970s. However, these attempts quickly made it clear that a serious mismatch existed between the underlying assumptions of Kalman filters and industrial state estimation problems. Accurate system models and statistical nature of the noise processes are not as readily available for industrial problems. In this paper, a novel method of combining both nonlinear unscented Kalman filter and H¥ unscented Kalman filter is presented so that the results are a compromise between the addition of more reliability compared to that of two other filters. One characteristic of this filter is there is no need to linearize the nonlinear problems and more suitable results are obtained than the other two filters with non-Gaussian noise. Investigations show, when in a part of estimating the UKF is best and in the other part the UH¥F, the hybrid filter can give better results. The variance analysis indicated that the filter is robust to statistical noises and a proper response can be found by changing its variable. Validation of results is performed by simulation of two nonlinear problems, free falling and inverted pendulum in mechanical engineering.

 
Keyword(s): HYBRID FILTER, UKF, STATE ESTIMATION, H
 
 
References: 
  • Not Registered.
  •  
  •  
 
Citations: 
  • Not Registered.
 
+ Click to Cite.
APA: Copy

TEHRANI, M., & NARIMANZADEH, N., & MASOUMNEZHAD, M. (2017). THE HYBRID UNSCENTED/H KALMAN FILTER IN STATE ESTIMATION OF NONLINEAR PROBLEMS. MODARES MECHANICAL ENGINEERING, 17(4 ), 315-321. https://www.sid.ir/en/journal/ViewPaper.aspx?id=572784



Vancouver: Copy

TEHRANI MOHAMMAD, NARIMANZADEH NADER, MASOUMNEZHAD MOJTABA. THE HYBRID UNSCENTED/H KALMAN FILTER IN STATE ESTIMATION OF NONLINEAR PROBLEMS. MODARES MECHANICAL ENGINEERING. 2017 [cited 2021July25];17(4 ):315-321. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=572784



IEEE: Copy

TEHRANI, M., NARIMANZADEH, N., MASOUMNEZHAD, M., 2017. THE HYBRID UNSCENTED/H KALMAN FILTER IN STATE ESTIMATION OF NONLINEAR PROBLEMS. MODARES MECHANICAL ENGINEERING, [online] 17(4 ), pp.315-321. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=572784.



 
 
Persian Abstract Yearly Visit 36
 
 
Latest on Blog
Enter SID Blog