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RISS 인기검색어
- 검색키워드
- 저자 : Sebastian Villwock (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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Automatic Procedure for the Identification of the Mechanical Resonances of a Drive
Mario Pacas,Sebastian Villwock,Thomas Eutebach 전력전자학회 2004 ICPE(ISPE)논문집 Vol.- No.-
High performance drives require sophisticated control methods. For the tuning of such control schemes the mathematical model describing the plant must be known with some degree of confidence.<br/> Therefore, a reliable procedure for the identification of the<br/> drive system is aimed. Besides, it should be possible to implement it as part of an automatic tuning of the control. The present paper proposes some solutions for this task.
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Identification of the Mechanical Resonances of Electrical Drives for Automatic Commissioning
Pacas Mario,Villwock Sebastian,Eutebach Thomas The Korean Institute of Power Electronics 2005 JOURNAL OF POWER ELECTRONICS Vol.5 No.3
The mechanical system of a drive can often be modeled as a two- or three-mass-system. The load is coupled to the driving motor by a shaft able to perform torsion oscillations. For the automatic tuning of the control, it is necessary to know the mathematical description of the system and the corresponding parameters. As the manpower and setup-time necessary during the commissioning of electrical drives are major cost factors, the development of self-operating identification strategies is a task worth pursuing. This paper presents an identification method which can be utilized for the assisted commissioning of electrical drives. The shaft assembly can be approximated as a two-mass non-rigid mechanical system with four parameters that have to be identified. The mathematical background for an identification procedure is developed and some important implementation issues are addressed. In order to avoid the excitation of the system with its natural resonance frequency, the frequency response can be obtained by exciting the system with a Pseudo Random Binary Signal (PRBS) and using the cross correlation function (CCF) and the auto correlation function (ACF). The reference torque is used as stimulation and the response is the mechanical speed. To determine the parameters, especially in advanced control schemes, a numerical algorithm with excellent convergence characteristics has also been used that can be implemented together with the proposed measurement procedure in order to assist the drive commissioning or to achieve an automatic setting of the control parameters. Simulations and experiments validate the efficiency and reliability of the identification procedure.
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Automated Diagnosis of Rolling Bearing Faults in Electrical Drives
Henning Zoubek,Sebastian Villwock,Mario Pacas 전력전자학회 2007 ICPE(ISPE)논문집 Vol.- No.-
This paper deals with a new automated diagnosis method for detecting bearing faults. The diagnosis is carried out by frequency response analysis of the mechanical system of the drive. The detection of bearing damages of a ball bearing on motor and load side of the mechanical drive system is addressed. The mechanics is assumed to be a two-inertia-system with one dominant resonant frequency The actual frequency response of the monitored system can be compared to the one obtained during the commissioning of the plant which can therefore serve as reference. The present paper addresses the investigation of two types of bearing faults: Generalized roughness and single point defects. As concerned the latter ones, inner and outer race bearing faults are topic of the research. Furthermore, based on the calculation of two tolerance bands around the calculated frequency responses, an algorithm for the automated diagnosis of both fault categories by pattern recognition is presented.
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Identification of the Mechanical Resonances of Electrical Drives for Automatic Commissioning
Mario Pacas,Sebastian Villwock,Thomas Eutebach 전력전자학회 2005 JOURNAL OF POWER ELECTRONICS Vol.5 No.3
The mechanical system of a drive can often be modeled as a two- or three-mass-system. The load is coupled to the driving motor by a shaft able to perform torsion oscillations. For the automatic tuning of the control, it is necessary to know the mathematical description of the system and the corresponding parameters. As the manpower and setup-time necessary during the commissioning of electrical drives are major cost factors, the development of self-operating identification strategies is a task worth pursuing.<br/> This paper presents an identification method which can be utilized for the assisted commissioning of electrical drives. The shaft assembly can be approximated as a two-mass non-rigid mechanical system with four parameters that have to be identified. The mathematical background for an identification procedure is developed and some important implementation issues are addressed. In order to avoid the excitation of the system with its natural resonance frequency, the frequency response can be obtained by exciting the system with a Pseudo Random Binary Signal (PRBS) and using the cross correlation function (CCF) and the auto correlation function (ACF). The reference torque is used as stimulation and the response is the mechanical speed. To determine the parameters, especially in advanced control schemes, a numerical algorithm with excellent convergence characteristics has also been used that can be implemented together with the proposed measurement procedure in order to assist the drive commissioning or to achieve an automatic setting of the control parameters. Simulations and experiments validate the efficiency and reliability of the identification procedure.
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