Adaptive feedback linearizing control of linear induction motor considering the end-effects. (October 2016)

• Record Type: Journal Article
• Authors: Alonge, Francesco; Cirrincione, Maurizio; D'Ippolito, Filippo; Pucci, Marcello; Sferlazza, Antonino
• Is Part Of: Control engineering practice. Volume 55(2016)
• Page Start: 116
• Page End: 126
• Publication Date: 2016-10
• Subjects: Linear induction motor -- Adaptive systems -- Feedback linearization -- End-effects -- Parameters' estimation; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2016.06.018
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: 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-line 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. Abstract : Highlights: An adaptive input–output feedback linearization techniques for linear induction motors has been proposed. The control law is based on the on-line estimation of the induced-part time constant. The stability of the entire control system is demonstrated thanks to a Lyapunov based analysis. The proposed control technique has been tested by means of simulations and experiments carried out on a suitably developed test set-up.