6533b82ffe1ef96bd1295c91

RESEARCH PRODUCT

Adaptive feedback linearizing control of linear induction motor considering the end-effects

Francesco AlongeFilippo D'ippolitoAntonino SferlazzaMaurizio CirrincioneMarcello Pucci

subject

Lyapunov function0209 industrial biotechnologyEngineeringLinear induction motorStability (learning theory)02 engineering and technologyAdaptive systemsParameters' estimation.symbols.namesake020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryAdaptive system0202 electrical engineering electronic engineering information engineeringFeedback linearizationFeedback linearizationElectrical and Electronic Engineeringbusiness.industryApplied Mathematics020208 electrical & electronic engineeringTime constantControl engineeringEnd-effectsEnd-effectComputer Science ApplicationsControl and Systems EngineeringParameters' estimationControl systemLinear induction motorsymbolsA priori and a posterioriAdaptive systembusiness

description

This paper proposes an input-output feedback linearization techniques for linear induction motors, taking into consideration the dynamic end-effects. As a main original content, this work proposes a new control law based on the on-line estimation of the induced-part time constant. The estimation law is obtained thanks to a Lyapunov based analysis and thus the stability of the entire control system, including the estimation algorithm, is intrinsically guaranteed. Moreover, with such an approach even the on-lihe variation of the induced-part time constant with the speed is retrieved, thus improving the behavior of previously developed approaches where such a variation vs. speed is considered a priori known. The proposed control technique, integrating the on-line induced-part time constant estimation, is tested by means of simulations and experiments carried out on a suitably developed test set-up. (C) 2016 Elsevier Ltd. All rights reserved.

https://doi.org/10.1016/j.conengprac.2016.06.018