Dhalwar S

Kottath R

Kumar V

Raj A.N.J

Poddar S.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Adaptive parameter based Particle Swarm Optimisation for accelerometer calibration

2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)

Accelerometer is one of the integral parts of a navigation system which helps in estimating motion parameters of the vehicle to which it is mounted upon. With wide usage of MEMS based sensors in commercial applications such as gaming industry and mobile robotics, these sensors are required to be calibrated appropriately and in as easy manner as possible. Traditional calibration technique requires the sensor to be taken to the laboratory where it is needed to be manipulated in different orientations. However, owing to the non-availability of costly equipment, infield inertial sensor calibration has gained wide popularity in recent times. In this paper, an attempt has been made to simplify the infield calibration technique by mounting the non-calibrated unit over another calibrated sensor or vice-versa, to yield calibration parameters. The cost function arrived for this sensor to sensor calibration is solved using particle swarm optimization technique and its other variants which modifies PSO's own parameters differently is experimented. The PSO algorithm proposed here incorporates constriction factor along with time varying inertial weight for improved results than the traditional PSO scheme. The calibrated sensor reading is then compared with the data obtained from the reference calibrated sensor unit and provides the corresponding result. © 2017 IEEE.

2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)

Accelerometer to accelerometer calibration using particle swarm optimization

Measurement Science and Technology

Calibration of an inertial-magnetic measurement unit without external equipment, in the presence of dynamic magnetic disturbances

2014 International Symposium on Inertial Sensors and Systems (ISISS)

An open-source multi inertial measurement unit (MIMU) platform

Accelerometer calibration with nonlinear scale factor based on multi-position observation

2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)

Automatic calibration for inertial measurement unit

IEEE Transactions on Instrumentation and Measurement

Autocalibration of MEMS Accelerometers

Journal	Data powered by Typeset2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)
Publisher	Data powered by TypesetIEEE
Open Access	0