Time-Domain Identification Method for Detecting Mechanical Backlash in Electrical Drives

Villwock, S.; Pacas, Mario

doi:10.1109/tie.2008.2003498

Cited by 56 publications

(32 citation statements)

References 20 publications

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“…A significant contribution to the development of condition monitoring systems is realized by proposing a new backlash estimation method using a pulse encoder and a triangle speed reference signal at a permanent synchronous motor drive [34]. The estimation is based on tracking the motor speed and focusing on the acceleration or the deceleration where a remarkable vibration is clearly visible.…”

Section: Index Terms-acmentioning

confidence: 99%

Detection of Backlash Phenomena Appearing in a Single Cement Kiln Drive Using the Current and the Electromagnetic Torque Signature

Bogiatzidis

Safacas

Mitronikas

2013

IEEE Trans. Ind. Electron.

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Fault diagnosis in electromechanical drives has been widely investigated over the last decades, and many diagnostic methods have been proposed based on the reported faults. Additionally to already published works which have dealt with gear faults inside low reduction ratio gearboxes, this paper aims to present a simple and effective method for the early diagnosis of evolving faults in a high reduction ratio gear transmission system used in cement kiln drives. The under study system basically consists of a three-phase induction motor mechanically connected to a gearbox. The output shaft of the gearbox drives a gear pinion which, in turn, rotates a girth gear rim surrounding the cement kiln. The identification of mechanical vibrations due to backlash phenomena appearing between the pinion gear and the girth gear rim of the kiln is realized using the motor current signature analysis and processing the motor electromagnetic torque. The proposed diagnostic method is presented, analyzing the experimental results from an under-scale laboratory simulating system.

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Section: Index Terms-acmentioning

confidence: 99%

Detection of Backlash Phenomena Appearing in a Single Cement Kiln Drive Using the Current and the Electromagnetic Torque Signature

Bogiatzidis

Safacas

Mitronikas

2013

IEEE Trans. Ind. Electron.

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“…If the identified system is highly nonlinear, the linear identification methods presented in this paper could be augmented with methods that can estimate the nonlinear elements, such as backlash or friction [12], [16], [31]- [33]. If the nonlinearity can be parametrized in the state variables (e.g., Coulomb friction), it could be introduced in the regressor vector φ in (10) [16].…”

Section: B Mechanical Parametersmentioning

confidence: 99%

Identification of two-mass mechanical systems using torque excitation: Design and experimental evaluation

Saarakkala

Hinkkanen

2014

2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA)

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“…This free zone is represented in drive by backlash. Such disturbance is analyzed and described in many of articles, works are related to identification of backlash, compensation or robust control [18], [19], [20]. Also in described case influence of backlash introduction in mechanical part of the drive is analyzed.…”

Section: Introductionmentioning

confidence: 99%

Neural network speed controller for drive system with elastic joint

Kaminski

2013

Eurocon 2013

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This paper presents application of neural network for speed control of drive system with elastic connection. Analyzed object is characteristic due to complexity of the mechanical part of the drive. Motor machine is connected with load using long elastic shaft. Such form of electromagnetic torque transmission leads to appearing of oscillation in state variables transients. In result precise control of the speed or position is difficult to obtain. In article application of neural network trained on-line is applied in speed control loop. Weights coefficients are recalculated according to backpropagation algorithm based on error from reference model placed in control structure. Several simulation tests are presented. Obtained results presents quality of control using described neural model. In addition robustness against parameter changes is shown. Moreover influence of introduction of nonlinear elements (backlash) on achieved results is analyzed. Simulations are verified experimentally on laboratory benchmark. Control algorithm is implemented in dSPACE 1104.

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Time-Domain Identification Method for Detecting Mechanical Backlash in Electrical Drives

Cited by 56 publications

References 20 publications

Detection of Backlash Phenomena Appearing in a Single Cement Kiln Drive Using the Current and the Electromagnetic Torque Signature

Detection of Backlash Phenomena Appearing in a Single Cement Kiln Drive Using the Current and the Electromagnetic Torque Signature

Identification of two-mass mechanical systems using torque excitation: Design and experimental evaluation

Neural network speed controller for drive system with elastic joint

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