1990
DOI: 10.1016/0924-4247(90)87005-4
|View full text |Cite
|
Sign up to set email alerts
|

Software techniques for sensor compensation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
18
0

Year Published

1990
1990
2017
2017

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 33 publications
(19 citation statements)
references
References 4 publications
0
18
0
Order By: Relevance
“…3, can be used to model the behavior of the load cell. The state-variable filter transfer function is (7) where (8) Comparing this transfer function with the load cell transfer function, (2), shows that can model ( ). has to be split into a fixed resistor equal to and an additional resistor proportional to .…”
Section: Proposed Load Cell Modelmentioning
confidence: 99%
See 3 more Smart Citations
“…3, can be used to model the behavior of the load cell. The state-variable filter transfer function is (7) where (8) Comparing this transfer function with the load cell transfer function, (2), shows that can model ( ). has to be split into a fixed resistor equal to and an additional resistor proportional to .…”
Section: Proposed Load Cell Modelmentioning
confidence: 99%
“…Usually, in classic adaptive techniques, an adaptive algorithm, such as a least mean squares (LMS) method, updates to minimize a cost function. However, (2) shows that, for a load cell, the suitable filter has a pair of conjugate zeros , which and can be considered as the parameters of adaptive filter and the relationship between them and load can be modeled as in (3) and (4). The real-time measurement operation is shown in Fig.…”
Section: Load Cell Response Compensationmentioning
confidence: 99%
See 2 more Smart Citations
“…The existing conventional correction techniques are essentially based either on the hardware adjustment of the sensor response [1], or on lookup tables [2]. The calibration of sensors using these methods is usually of a high cost and time consuming.…”
Section: Introductionmentioning
confidence: 99%