Elimination of Sensor Error Sources with Particle Swarm Optimization Algorithm

Sensors are one of the most important technological inventions used in many areas of daily life. Accelerometers, magnetometers, pressure sensors, temperature sensors, etc. Many sensors such as are frequently used in many areas of industry. However, these sensors contain many errors due to their production. Sensor calibration is required to eliminate these errors. In this paper, high accuracy sensor data was obtained by performing sensor calibration with the PSO (Particle Swarm Optimization) method. With this calibration process, distortions caused by sensor error sources are detected and used to correct the measurement results. In addition, the PSO algorithm defines certain parameters and enables us to improve the data collected from sensors by using data from a reference product.