2008
DOI: 10.1080/02533839.2008.9671452
|View full text |Cite
|
Sign up to set email alerts
|

Load torque estimation problem for electric machinery servo systems by an inverse method

Abstract: This study analyzes a load torque estimation problem for an electric machinery servo system using the recursive input estimation (RIE) algorithm. This study also presents four novel estimation models, which have different numbers of sensors, considers the process and the measurement noise to estimate load torque without a torque sensor. The proposed algorithm is a novel estimation technique for solving force feedback and state estimation problems for an electric machinery servo control system. In this work, th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2011
2011
2015
2015

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 24 publications
0
1
0
Order By: Relevance
“…ZW in Figure 1 stands for coupling. Figure 2 shows the mechanical system model of the 985 MW set in the second nuclear power plant, in which there are corresponding momentums for each stage of turbine, generator, exciter, and the last two stages of long blades on the LP rotor that is to be analyzed (Jatskevich et al 2006, Chen andLee 2008). The torsional model for the shaft consists of a series of cylinders representing momentums.…”
Section: Introductionmentioning
confidence: 99%
“…ZW in Figure 1 stands for coupling. Figure 2 shows the mechanical system model of the 985 MW set in the second nuclear power plant, in which there are corresponding momentums for each stage of turbine, generator, exciter, and the last two stages of long blades on the LP rotor that is to be analyzed (Jatskevich et al 2006, Chen andLee 2008). The torsional model for the shaft consists of a series of cylinders representing momentums.…”
Section: Introductionmentioning
confidence: 99%