Search results for " observability"

showing 2 items of 2 documents

Extended complex Kalman filter for sensorless control of an induction motor

2014

Abstract This paper deals with the design of an extended complex Kalman filter (ECKF) for estimating the state of an induction motor (IM) model, and for sensorless control of systems employing this type of motor as an actuator. A complex-valued model is adopted that simultaneously allows a simpler observability analysis of the system and a more effective state estimation. The observability analysis of this model is first performed by assuming that a third order ECKF has to be designed, by neglecting the mechanical equation of the IM model, which is a valid hypothesis when the motor is operated at constant rotor speed. It is shown that this analysis is more effective and easier than the one …

Induction motor Observability Kalman filtering Complex-valued modelEngineeringStatorbusiness.industryApplied MathematicsComputationControl engineeringKalman filterComputer Science Applicationslaw.inventionMatrix (mathematics)Settore ING-INF/04 - AutomaticaControl and Systems EngineeringlawControl theoryObservabilityElectrical and Electronic EngineeringbusinessMATLABActuatorcomputerInduction motorcomputer.programming_languageControl Engineering Practice
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Advanced Motion Control in Induction Motor Systems - Modelling, Analysis and Control

Using a unified notation, this thesis collects and discusses the most important steps and issues in the design of estimation and control algorithms for induction motors. It contains many estimation and control algorithms. Their stability is analyzed and their performance is illustrated by simulations and experiments on the same induction motor. An intense and challenging collective research effort is carefully documented and analyzed, with the aim of providing and clarifying the basic intuition and tools required in the analysis and design of nonlinear feedback control algorithms. This material should be of specific interest to engineers who are engaged in the design of control algorithms f…

Settore ING-INF/04 - AutomaticaInduction motor observability estimators Kalman filtering feedback control parameter identification.
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