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Prognostics of Onboard Electromechanical Actuators: a New Approach Based on Spectral Analysis Techniques

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In the last years, the layout of servomechanisms used in the aeronautical field to actuate the flight controls has changed radically and, nowadays electromechanical actuators (EMAs) are increasingly replacing the older hydraulic powered actuator types. The definition of special monitoring procedures, based on the analysis of the system response and aiming to evaluate the evolution of faults, represents an important task of the modern system engineering taking into account that onboard actuators are typically safety critical items. The present paper proposes a new prognostic procedure centered on the characterization of the state of health of an EMA used in aircraft primary flight controls. This approach, based on the innovative use of a model-based fault detection and identification method (FDI), identifies the actuator actual state of wear of the actuator analyzing proper system operational parameters, able to put in evidence the corresponding degradation path, by means of a numerical algorithm based on spectral analysis techniques. The proposed FDI algorithm has been tested in case of EMA affected by two progressive failures (rotor static eccentricity and stator phase turn-to-turn short-circuit), showing an adequate robustness and a suitable ability to early identify EMA malfunctions with low risk of false alarms or missed failures.
Copyright © 2018 The Authors - Published by Praise Worthy Prize under the CC BY-NC-ND license.


BLDC Motor; Electromechanical Actuator; Prognostics; Spectral Analysis

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J. Marè, Electro-mechanical Actuators, in Aerospace Actuators 2: Signal-by-Wire and Power-by-Wire (Wiley, New York, 2017).

G. Vachtsevanos, F. Lewis, M. Roemer, A. Hess, B. Wu, Intelligent fault diagnosis and prognosis for engineering systems (Wiley, New York, 2006).

K. Goebel et al., Prognostics: the science of making prediction (CreateSpace Independent Publishing Platform, 2017).

C. S. Byington, W. Watson, D. Edwards, P. Stoelting, A model-based approach to prognostics and health management for flight control actuators, IEEE Aerospace Conference Proc. (2014).

W. F. Bonnice, W. Baker, Intelligent fault diagnosis and failure management of flight control actuation systems, NASA-CR-177481 (1988).

T. Sutharssan, S. Stoyanov, C. Bailey, C. Yin, Prognostic and health management for engineering systems: a review of the data-driven approach and algorithms, The Journal of Engineering 2015(7) (2015), 215-222.

L. Borello, M.D.L. Dalla Vedova, G. Jacazio, M. Sorli, A prognostic model for electrohydraulic servovalves, Proc. of the Annual Conference of the Prognostics and Health Management Society (2009).

Adouni, A., Ben Hamed, M., Sbita, L., Online Steady State Detection and Isolation of Fault Measurements Occurred by Sensors and Actuator, (2014) International Review on Modelling and Simulations (IREMOS), 7 (5), pp. 768-774.

M. Alamyal, S. M. Gadoue, B. Zahawi, Detection of induction machine winding faults using genetic algorithm, Diagnostics for Electric Machines, Power Electronics and Drives 9th IEEE Int. Symposium, 157-161 (2013).

A. Raie, V. Rashtchi, Using a genetic algorithm for detection and magnitude determination of turn faults in an induction motor, Electrical Engineering 84(5) (2002), 275-279.

M. D. L. Dalla Vedova, A. Germanà, P. Maggiore, Proposal of a new simulated annealing model-based fault identification technique applied to flight control EM actuators, Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016, 313-321 (2016).

P. Maggiore, M. D. L. Dalla Vedova, L. Pace, Proposal of prognostic parametric method applied to an electrohydraulic servomechanism affected by multiple failures, WSEAS Transactions on Environment and Development (2014), 478-490.

D. Belmonte, M. D. L. Dalla Vedova, P. Maggiore, Electromechanical servomechanisms affected by motor static eccentricity: proposal of fault evaluation algorithm based on spectral analysis techniques, Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015, 2365-2372 (2015).

M. D. L. Dalla Vedova, P. Maggiore, L. Pace, A. Desando, Evaluation of the correlation coefficient as a prognostic indicator for electromechanical servomechanism failures, International Journal of Prognostics and Health Management 6 (2015), 1-13.

M. Battipede, M. D. L. Dalla Vedova, P. Maggiore, S. Romeo, Model based analysis of precursors of electromechanical servomechanisms failures using an artificial neural network, AIAA Modeling and Simulation Technologies Conference, (2015).

M. D. L. Dalla Vedova, D. De Fano, P. Maggiore, Neural network design for incipient failure detection on aircraft EM actuator, International Journal of Mechanics and Control 17(1) (2016), 77-83.

Pradeep, J., Devanathan, R., Fault Diagnosis of PMSM Using Artificial Neural Network, (2014) International Review on Modelling and Simulations (IREMOS), 7 (5), pp. 760-767.

I. Moir, A. Seabridge, Aircraft Systems: Mechanical, Electrical and Avionics Subsystems Integration (Wiley, New York, 2008).

Gaya, M., Bisu, A., Salim, S., Madugu, I., Yusuf, L., Kaurangini, M., Khairi, M., Optimal PID Design Approaches for an Inverted Pendulum System, (2016) International Review of Automatic Control (IREACO), 9 (3), pp. 167-174.

Hernández Beleño, R., Mora Gonzales, P., Avilés Sánchez, O., Ferreira, J., Dynamic Modeling and PID Control of an Underwater Robot Based on the Hardware-in-the-Loop Method, (2016) International Review of Mechanical Engineering (IREME), 10 (7), pp. 482-490.

I. Todić, M. Miloš, M. Pavišić, Position and speed control of electromechanical actuator for aerospace applications, Tehnicki Vjesnik 20(5) (2013), 853-860.

T. A. Haskew, D. E. Schinstock, E. Waldrep, Two-Phase On’ Drive Operation in a Permanent Magnet Synchronous Machine Electromechanical Actuator, IEEE Transactions on Energy Conversion 14, (1999).

A. Halvaei Niasar, H. Moghbelli, A. Vahedi, Modelling, Simulation and Implementation of Four-Switch Brushless DC Motor Drive Based On Switching Functions, IEEE EUROCON 2009, (2009).

B. K. Lee, M. Ehsani, Advanced Simulation Model for Brushless DC Motor Drives, Electric Power Components and Systems, 31(9) (2003), 841-868.

M. Çunkas, O. Aydoğdu, Realization of Fuzzy Logic Controlled Brushless DCMotor Drives using Matlab/Simulink, Mathematical and Computational Applications 15(02) (2010), 218-229.

L. Borello, G. Villero, M. D. L. Dalla Vedova, New asymmetry monitoring techniques: effects on attitude control, Aerospace Science and Technology 13(8) (2009), 475-487.

L. Borello, M. D. L. Dalla Vedova, Flaps Failure and Aircraft Controllability: Developments in Asymmetry Monitoring Techniques, Journal of Mechanical Science and Technology (JMST) 28(11) (2014), 4593-4603.

Huikuri, M., Jansen, J., Lomonova, E., Pyrhönen, J., Adaptive Feedforward Control of an Industrial H-Drive Positioning with Permanent Magnet Linear Motors, (2015) International Review on Modelling and Simulations (IREMOS), 8 (4), pp. 399-409.

L. Borello, M. D. L. Dalla Vedova, A dry friction model and robust computational algorithm for reversible or irreversible motion transmission, International Journal of Mechanics and Control 13(2) (2012), 37-48.

A. De Martin, G. Jacazio, G. Vachtsevanos, Windings fault detection and prognosis in electro-mechanical flight control actuators operating in active-active configuration, International Journal of Prognostics and Health Management 8(2) (2017).

F. L. J Van Der Linden, N. Dreyer, A. Dorkel, EMA Health Monitoring: An Overview. Proc. of Recent Advances in Aerospace Actuation Systems and Components, March 16-18, Toulouse, France, (2016).

C. Lessmeier, O. Enge-Rosenblatt, C. Bayer, D. Zimmes, Data acquisition and signal analysis from measured motor currents for defect detection in electromechanical drive systems. Proc. of the European Conference of the Prognostics and Health Management Society, July 8-10, Nantes, France, (2014).

B. W. Kim, K. T. Kim, J. Hur, Simplified impedance modeling and analysis for inter-turn fault of IPM-type BLDC motor, Journal of Power Electronics 12(1) (2012), 10–18.

D. Belmonte, M. D. L. Dalla Vedova, C. Ferro, P. Maggiore., Electromechanical actuators affected by multiple failures: Prognostic method based on spectral analysis techniques, AIP Conference Proceedings 1836, 020020, AIP Publishing (2017).

A. Ginart, D. Brown, P. Kalgren, M. Roemer, On-line Ringing Characterization as a PHM Technique for Power Drives and Electrical Machinery, Autotestcon (IEEE),(2007).

A. Ginart, D. Brown, P. Kalgren, M. Roemer, Inverter Power Drive Transistor Diagnostic and Extended Operation under One-Transistor Trigger Suppression, Proc. Of the Applied Power Electronics Conference and Exposition, (APEC),(2008).

E. E Ngu, K. Ramar, R. Montano, V. Cooray, Fault characterisation and classification using wavelet and fast Fourier transforms, WSEAS Trans. on Signal Processing 4(7) (2008).

E. Woecker, Methods for Inter Coil Short Circuit Detection in Excitation Winding Coils of Turbo Generator in Operation and in Standstill Condition, Proc. of the CIGRE Colloquium on new development of rotating electrical machines, (2011).


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