Modified Human Opinion Dynamic for Improved Tuning of Particle Filter

  Manakdeep Kaur,  Sangeet Pal Kaur

Though many of the engineering problems can approximated as linear to some extent, the ground truth is that in reality there exist no perfectly linear systems. Though the assumptions of approximating systems as linear can be valid in certain cases, it may not be provide acceptable performance in many real world applications. The selection of an appropriate process and measurement noise co-variance value for a given system has a significant effect on system’s performance, and needs to be tuned correctly. To tune the EKF implemented for the permanent magnet synchronous motor model for indirect measurement of pole position and rotor speed has been taken from the works of as discussed ab-initio. The proposed MGSA based methodology is shown to outperform PSO and HOD in few aspects like convergence time and ease of tuning while steady state error values of both the methodologies are found to be almost comparable.

Keywords- EKF, PSO, HOD, CODO

Unique Identification Number - IJEDR1702322
Page Number(s) - 2068-2074
Pubished in - Volume 5 | Issue 2 | June 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Manakdeep Kaur,  Sangeet Pal Kaur,   "Modified Human Opinion Dynamic for Improved Tuning of Particle Filter", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.2068-2074, June 2017, Available at :http://www.ijedr.org/papers/IJEDR1702322.pdf