Improved speed and load torque estimations with adaptive fading extended Kalman filter
Emrah Zerdali, Recep Yıldız, Remzi İnan, Rıdvan Demir, Murat Barut
Abstract
Background Extended Kalman filter (EKF) is one of the most preferred observers for state and parameter estimation of induction motor. To achieve optimal estimations, EKFs require a stochastic system with complete dynamic or measurement equation. However, those equations are partially known in practice and may vary depending on operating conditions, leading to a degradation in the estimation performance of conventional EKFs (CEKFs).
Topics & Concepts
FadingKalman filterControl theory (sociology)Computer scienceFast Kalman filterMoving horizon estimationTorqueExtended Kalman filterAlgorithmArtificial intelligencePhysicsDecoding methodsControl (management)ThermodynamicsSensorless Control of Electric MotorsControl Systems in EngineeringIterative Learning Control Systems