Identification of Closed Loop Projection Subspace for Motor Based on Hankel Correlation Function

Authors

Minghong She, 1. School of Automation, Chongqing University, Chongqing 400044, China;;2. Computer College, Chongqing College of Electronic Engineering, Chongqing 401331, China;

Abstract

Abstract: To solve estimation deviation problem of model parameter in the closed-loop system identification, the subspace identification model and state space model based on the estimation of the correlation function are presented, and through the correlation function estimation and zero space followed by projection, the block Hankel matrix of identification framework was filled so as to obtain the scope of the extended observability matrix; on the basis of the same projection on the time offset set of related data, the RQ decomposition of the projection is calculated by numerical calculation, and the dynamic estimation of the system model is obtained. The simulation experiment on the closed loop system of induction motor indicates that the proposed method has higher identification accuracy, and it is verified by the hardware in the real environment.

Recommended Citation

She, Minghong (2018) "Identification of Closed Loop Projection Subspace for Motor Based on Hankel Correlation Function," Journal of System Simulation: Vol. 30: Iss. 6, Article 8.
DOI: 10.16182/j.issn1004731x.joss.201806008
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss6/8

First Page

2058

Revised Date

2017-05-24

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201806008

Last Page

2065

CLC

TM75

Recommended Citation

She Minghong. Identification of Closed Loop Projection Subspace for Motor Based on Hankel Correlation Function[J]. Journal of System Simulation, 2018, 30(6): 2058-2065.

DOI

10.16182/j.issn1004731x.joss.201806008