Broken rotor bar impact on sensorless control of induction machine

Kołodziejek, Piotr; Bogalecka, Elżbieta

doi:10.1108/03321640910940837

Cited by 11 publications

(13 citation statements)

References 20 publications

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“…Results are showed in Tables I and II calculated as the relative percentage difference of characteristic oscillations related to broken rotor for rotor speed, electromagnetic torque, square rotor flux, so-called reactive torque (x 22 ), stator current space vector modulus, new reference control variables after IM model linearization (m 1 , m 2 ), active and reactive power. The experimental results verified simulations reported in Kołodziejek and Bogalecka (2009). The most sensitive variables for broken rotor detection are decoupled control variables m 1 and m 2 in both control systems.…”

Section: Control System Sensitivitysupporting

confidence: 81%

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State and control system variables sensitivity to rotor asymmetry in the induction motor drive

Kołodziejek

2012

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Purpose -The aim of this paper is to undertake analysis and comparison of the closed-loop and sensorless control systems sensitivity to the broken rotor for diagnostic purposes. For the same vector control system induction motor drive analysis concerning operation with the asymmetric motor, broken rotor fault handling and operation were investigated. Reliability, range of stable operation, fault symptoms and application of diagnosis methods based on control system variables utilization was analyzed. Design/methodology/approach -Induction motor drive vector control system synthesis was applied using the multiscalar variables of the machine model with nonlinear feedback linearization applied to use classical cascaded PI controllers for the speed-torque and flux decoupled control. Speed observer was applied for the rotor flux and rotor speed estimation for the sensorless control system synthesis.Findings -Relative sensitivity of the state and control system variables to broken rotor fault based on experimental results for the closed-loop and sensorless control systems is presented and compared. Drawbacks of using the MCSA analysis for the rotor fault diagnosis in the closed-loop and sensorless control systems are pointed. Advantages and drawbacks of the state space estimators filtering characteristics in the sensorless control system are described. Practical implications -Asymmetric IM motor drive handling and diagnosis. Broken rotor range diagnosis inconsistency using the popular MCSA method should be considered in the closed-loop and sensorless control system of the induction motor drive. Depending on the IM motor drive application and the operation requirements the results can be used for asymmetric machine proper handling, choosing proper control system structure and control system variables for rotor fault early diagnosis. Originality/value -Sensitivity of the state and control system variables to broken rotor fault based on experimental results for the closed-loop and sensorless control systems is presented, which implies motor handling procedures and fault diagnosis. IntroductionSensorless controlled induction motor drives are more and more popular in industrial applications, particularly in the renewable energy processing, i.e. wind power plants, small water power plants and electric vehicles. Nowadays electric drives need to provide additional functions besides their primary task. One of them is on-line diagnostics during normal operation and on-line drive state estimation. Increasing computational power of the DSP processors allows for on-line diagnostic functions implementation besides control and estimation algorithms. Early fault symptoms detection, isolation and identification processes are needed for critical fault and emergency shutdown prevention, providing remote information sending to the service. Rotor asymmetry in the early stage of development often is not a critical fault. Depending on the drive application, different handling functions can be applied. Closed-loop control system may be used in...

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Section: Control System Sensitivitysupporting

confidence: 81%

“…The experimental results verified simulations reported inKołodziejek and Bogalecka (2009). The most sensitive variables for broken rotor detection are decoupled control variables m 1 and m 2 in both control systems.…”

supporting

confidence: 89%

State and control system variables sensitivity to rotor asymmetry in the induction motor drive

Kołodziejek

2012

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“…So‐called multiscalar variables are reference frame independent and are defined as follows: Equation 15 Equation 16 Equation 17 Equation 18 where x 11 is rotor speed, x 12 is proportional to electromagnetic torque, x 21 is square rotor flux and x 22 is scalar product of rotor flux and stator current vectors. In Kołodziejek and Bogalecka (2009) compensating effect of the control system in open‐loop operation in mechanical variables was shown for different range of rotor fault. Simulation results of multiscalar control system with broken rotor, but with exact rotor speed and flux derived from the model, showed compensating effect of mechanical variables and visible pulsations at rotor frequency in the control system variables (Kołodziejek and Bogalecka, 2009).…”

Section: Sensorless Control Systemmentioning

confidence: 99%

“…In Kołodziejek and Bogalecka (2009) compensating effect of the control system in open‐loop operation in mechanical variables was shown for different range of rotor fault. Simulation results of multiscalar control system with broken rotor, but with exact rotor speed and flux derived from the model, showed compensating effect of mechanical variables and visible pulsations at rotor frequency in the control system variables (Kołodziejek and Bogalecka, 2009).…”

Section: Sensorless Control Systemmentioning

confidence: 99%

Broken rotor symptoms in the sensorless control of induction machine

Kołodziejek

Bogalecka

2011

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PurposeThe purpose of this paper is to investigate the need for a universal method for sensorless controlled induction motor drive diagnosis. The increasing number of sensorless control systems in industrial applications require a universal method for the drive diagnosis, which provides reliable diagnostic reasoning independent of control system structure and state variables measurement or estimation method.Design/methodology/approachSimulations and experimental investigation has been done with assumptions of multiscalar control system as a generalized vector control method, voltage source inverter application, sensorless control system based on selected speed observer structure and squirrel cage induction motor. Broken rotor symptoms are analyzed in the state variables and control system variables using DSP processing without outside measurement devices.FindingsSymptoms of rotor asymmetry caused by broken rotor in the state and control variables was identified and symptoms amplitudes were compared. Based on the simulation and experimental results a new diagnosis method was proposed.Practical implicationsFor early broken rotor detection there is a need to identify variables most sensitive to rotor asymmetry. In closed‐loop operation broken rotor symptom signals amplitudes are changed due to control system influence and in sensorless control due to used estimator frequency characteristics. The proposed method assumption is to aggregate symptoms in variables that altogether give results for broken rotor range regardless of applied control system structure or state variable estimator.Originality/valueThis paper shows control system influence to rotor fault symptom amplitudes in the state and control system variables. Identified phenomena is used for a new diagnosis method development.

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“…Therefore, frequency components commonly used could be masked by the drive actions. In addition, the harmonic contents at the terminal output parameters from the drive, and in particular the stator current and voltage, is high, which makes it more difficult to identify the small changes in current signatures [12][13]. In this study, motor current signature analyses have been conducted to study the behaviour of current signals under two control modes: V/Hz open loop and sensorless mode are subject to parallel misalignments occurring with different degrees of severity in a gearbox test system.…”

Section: Introductionmentioning

confidence: 99%