Search results for "robust Kalman filter"

showing 3 items of 3 documents

Velocity sensorless control of a PMSM actuator directly driven an uncertain two-mass system using RKF tuned with an evolutionary algorithm

2010

This paper proposes a solution to tune an observer keeping robust closed loop performances for the sensorless motion control of an uncertain mechanical load directly driven by a PMSM through a flexible axis. An evolutionary algorithm optimizes the observers degrees of freedom. Experiments show that performances are effectively maintained.

EngineeringMechanical loadObserver (quantum physics)business.industryControl (management)Evolutionary algorithmControl engineeringDegrees of freedom (mechanics)Motion controlEvolutionary computationSensorless control PMSM motor two-mass system robust Kalman filterSettore ING-INF/04 - AutomaticaComputer Science::Systems and ControlControl theoryActuatorbusinessProceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010
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Velocity sensorless control of uncertain load using RKF tuned with an evolutionary algorithm and mu-analysis

2010

Abstract In case of a velocity control scheme for a load directly driven by an actuator, large variations of its parameters are problematic due to possible instability and large variations of the final performances. This performances are then decreasing if a sensorless control is implemented due to cost, reliability or application constraints. This paper proposes solutions to quickly and accurately tune an observer with a lower computer time consumption and lower conception time. A previous calculated state feedback is used as base for a Kalman filter with special noise matrices. An evolutionary algorithm optimizes the observers degrees of freedom all over the variations. The mu-analysis th…

Engineeringevolutionary algorithmOptimization algorithmbusiness.industrymotion controlEvolutionary algorithmrobust Kalman filterKalman filtermu-analysiMotion controlInstabilityMotion control ; Robustness ; OptimizationSettore ING-INF/04 - AutomaticaRobustness (computer science)Control theorySenseless controlbusinessActuatorrobustneoptimization[SPI.NRJ] Engineering Sciences [physics]/Electric powerIFAC Proceedings Volumes
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Sensorless Control of Induction-Motor Drive Based on Robust Kalman Filter and Adaptive Speed Estimation

2014

This paper deals with robust estimation of rotor flux and speed for sensorless control of motion control systems with an induction motor. Instead of using sixth-order extended Kalman filters (EKFs), rotor flux is estimated by means of a fourth-order descriptor-type robust KF, which explicitly takes into account motor parameter uncertainties, whereas the speed is estimated using a recursive least squares algorithm starting from the knowledge of the rotor flux itself. It is shown that the descriptor-type structure allows for a direct translation of parameter uncertainties into variations of the coefficients appearing in the model, and this improves the degree of robustness of the estimates. E…

Recursive least squares filterRobust kalman filterEstimatorKalman filterMotion controlSettore ING-INF/04 - AutomaticaControl and Systems EngineeringRobustness (computer science)Control theoryControl systemInduction motor robust Kalman filter adaptive speed estimation sensorless controlElectrical and Electronic EngineeringInduction motorMathematicsIEEE Transactions on Industrial Electronics
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