NDLI: Experimental study of a novel filter structure designed for MEMS-based sensors in electric vehicles

Content Provider	IET Digital Library
Author	Linani, Messaoud Mokhtari, Bachir Cheknane, Ali Hilal, Hikmat S.
Abstract	This work describes a comparative study between Kalman filter, a complementary filter and a combination of both, for use in electrical vehicles. Combining the benefits offered by each filter to obtain an optimised filter combination is targeted. Three different combinations: The Kalman-complementary filter (KCF), complementary-Kalman filter (CKF) and 2KCFs are examined here. The filters are used to improve signals obtained via two sensors (gyroscope and accelerometer) integrated into the sensor IMU-MPU6050, with internal DMP. The sensor data are filtered to guarantee the movement quality of electrical vehicles. The KCF combination shows higher performance than the CKF combination. Moreover, the experimental results show that the 2KCF combination yields best performance with minimal noise levels and more accurate angle measurement. The optimal combination is strongly recommended for future electrical vehicle development.
Starting Page	4063
Ending Page	4069
Page Count	7
ISSN	17554535
Volume Number	12
e-ISSN	17554543
Issue Number	Issue 15, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-pel/12/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-pel.2018.5847
Journal	IET Power Electronics
Publisher Date	2019-10-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2KCF Combination Accelerometer Angle Measurement Angular Measurement CKF Combination Complementary-Kalman Filter Structure Electric Vehicle Electrical Vehicle Development Filter And Other Network Gyroscope Internal DMP Kalman Complementary Filter Structure Kalman Filter MEMS And NEMS Device Technology MEMS-based Sonsor Micromechanical And Nanomechanical Device And System Microsensor Microsensors And Nanosensors Optimised Filter Combination Sensing And Detecting Device Sensor IMU-MPU6050 Spatial Variables Measurement
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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