The purpose of this paper is to analyse torsional vibrations of the electromechanical systems composed by compression trains based on reciprocating compressor and induction motor. Since reciprocating compressors produce large fluctuating torques, the dynamic interaction between electrical and mechanical system causes natural frequencies modification and, consequently, torque amplification of the mechanical system, different from that calculated neglecting air-gap effect. The air-gap effect is studied starting from the development of an electromechanical model in MATLAB/Simulink environment. Electrical and mechanical model interact each other with their input/output in order to simulate the real torsional vibration of the compression train. Using state-space representation, the multi-physics model has been implemented including stator and rotor magnetic fluxes in the space-vector. Since the electromechanical system is described by non-linear differential equations, the model has been linearized around the steady and transient state operating point. Using this method, the natural frequencies changes with the linearization point so it is possible to analyse the system during both starting and steady conditions. According to API 618, the torsional analysis has been completed studying the electrical faults such as three-phase or two-phase short circuit. Finally, a dedicated tool, programmed in MATLAB environment, has been developed to avoid errors and reduce time needed for torsional analysis.

Electro-mechanical modelling of a reciprocating compression train driven by induction motor / Fusi, Andrea; Grasso, Francesco; Sambataro, Alessio; Baylon, Alessandro; Pugi, Luca. - ELETTRONICO. - (2017), pp. 0-0. (Intervento presentato al convegno II Torsional Vibration Symposium tenutosi a Salisburgo nel 17-19 maggio 2017).

Electro-mechanical modelling of a reciprocating compression train driven by induction motor

GRASSO, FRANCESCO
Validation
;
PUGI, LUCA
Methodology
2017

Abstract

The purpose of this paper is to analyse torsional vibrations of the electromechanical systems composed by compression trains based on reciprocating compressor and induction motor. Since reciprocating compressors produce large fluctuating torques, the dynamic interaction between electrical and mechanical system causes natural frequencies modification and, consequently, torque amplification of the mechanical system, different from that calculated neglecting air-gap effect. The air-gap effect is studied starting from the development of an electromechanical model in MATLAB/Simulink environment. Electrical and mechanical model interact each other with their input/output in order to simulate the real torsional vibration of the compression train. Using state-space representation, the multi-physics model has been implemented including stator and rotor magnetic fluxes in the space-vector. Since the electromechanical system is described by non-linear differential equations, the model has been linearized around the steady and transient state operating point. Using this method, the natural frequencies changes with the linearization point so it is possible to analyse the system during both starting and steady conditions. According to API 618, the torsional analysis has been completed studying the electrical faults such as three-phase or two-phase short circuit. Finally, a dedicated tool, programmed in MATLAB environment, has been developed to avoid errors and reduce time needed for torsional analysis.
2017
Torsional Vibration Symposium
II Torsional Vibration Symposium
Salisburgo
17-19 maggio 2017
Fusi, Andrea; Grasso, Francesco; Sambataro, Alessio; Baylon, Alessandro; Pugi, Luca
File in questo prodotto:
File Dimensione Formato  
Fusi_Electro-mechanical modelling of a reciprocation compression train d....pdf

Accesso chiuso

Descrizione: Articolo Principale
Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 917.69 kB
Formato Adobe PDF
917.69 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1089153
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact