Perdomo Arvizu, Maria del Carmen: Time domain identification of the mechanical system of a drive for the purpose of diagnostics. 2015
Inhalt
- Index of contents
- Acknowledgements
- Nomenclature
- Abstract
- Zusammenfassung
- 1. Introduction
- 2. Theoretic fundamentals
- 2.1 Modelling and identification of electromechanical drives
- 2.2 Cascade control structure
- 2.3 Sensorless speed control techniques.
- 2.4 Summary of the chapter
- 3. Stochastic identification in time domain
- 3.1 Stochastic identification: extended Kalman filter
- 3.2 Causes of divergence by utilizing Kalman filters
- 3.3 PRBS as additional excitation to the system
- 3.4 Non-linear system model
- 3.5 Structure of identification
- 3.6 EKF identification of a variable reduced moment of inertia
- 3.7 Simulation of EKF identification of a crankshaft slider
- 3.8 Summary of the chapter
- 4. Deterministic Identification in time domain
- 4.1 Fourier series for signal representation
- 4.2 Identification of a periodical drive torque
- 4.3 Working hypothesis for the deterministic identification of a periodical load
- 4.4 Mechanical load as function of the angular position of the motor
- 4.5 Sliding window for discrete integration
- 4.6 Structure of identification
- 4.7 Summary of the chapter
- 5. Feed-forward control for a variable inertia system
- 5.1 Feed-forward control structure
- 5.2 Model of disturbances and variable reduced inertia effect
- 5.3 Summary of the chapter
- 6. Diagnostics
- 6.1 Rolling bearing failure detection
- 6.2 Causes and classification of failures in rolling bearings
- 6.3 Diagnostic of failures ball rolling bearings on machines with cyclical process
- 6.4 Effect of the friction in rolling bearings on the load torque to the drive
- 6.5 Fault bearings effects on the drive torque of a composed mechanism
- 6.6 Summary of the chapter
- 7. Experimental results
- 7.1 Identification with the extended Kalman filter
- 7.2 Identification of the torque by means of a deterministic procedure
- 7.3 Feed-forward compensation
- 7.4 Diagnostics
- 7.5 Summary of the chapter
- 8. Conclusions
- 9. Appendix
- 9.1 Characterization of the crank slider mechanism for the mass particles model
- 9.2 Experimental Platform I
- 9.3 Experimental Platform II
- 9.4 Kinetic energy analysis
- List of Figures
- 10. References