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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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