A Fruit Fly-Optimized Kalman Filter Algorithm for Pushing Distance Estimation of a Hydraulic Powered Roof Support through Tuning Covariance

To measure the pushing distance of a hydraulic-powered roof support, and reduce the cost from a non-reusable displacement sensor embedded in pushing a hydraulic cylinder, an inertial sensor is used to measure the pushing distance, and a Kalman filter is applied to process the inertial data. To obtai...

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Bibliografische gegevens
Hoofdauteurs: Lin Zhang, Zhongbin Wang, Chao Tan, Lei Si, Xinhua Liu, Shang Feng
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2016-10-01
Reeks:Applied Sciences
Onderwerpen:
Kalman filter
fruit fly optimization algorithm
hydraulic powered roof support
state-space model
Online toegang:http://www.mdpi.com/2076-3417/6/10/299
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