Share:


Model predictive control of a hydraulic actuator in torque applying system of a mechanically closed-loop test rig for the helicopter gearbox

    Aida Parvaresh Affiliation
    ; Mohsen Mardani   Affiliation

Abstract

Transmission health is an important factor in safety and maintenance costs in industries, so construction of test rigs for testing high-powered gearboxes under different operating conditions of helicopters is required. The studied test rig, which is developed at Sharif University of Technology branch of ACECR (Academic Centre of Education, Culture and Research) is mainly used for testing high-powered gearboxes through a mechanically closed-loop procedure. For providing a variety of speeds and torques in test rigs, torque applying system is required. According to generation of higher forces, reduced size of equipment and accurate positioning, electro hydraulic actuators (EHAs) are used for applying torques for planetary gearboxes of this test rig. Due to the importance of applying accurate torques in evaluation of the gearbox performance, first an accurate model of EHA is derived, which captures the system dynamics using system identification method with low consumed time and simple relations. After that, a type of model predictive controller called dynamic matrix controller is proposed for controlling EHA under determined requirements. Then, the performance of proposed controller under normal conditions as well as in presence of disturbance is investigated. The results show a good tracking of controller for various reference inputs in different conditions. Moreover, the performance of the proposed controller is compared with the performance of classical proportional-integral-derivative (PID) controller and superior characteristics of the proposed controller is concluded.


First published online 5 March 2020

Keyword : system identification, model predictive controller, Closed-Loop test Rig, hydraulic actuator, high-powered gearboxes, helicopter gearbox health

How to Cite
Parvaresh, A., & Mardani, M. (2019). Model predictive control of a hydraulic actuator in torque applying system of a mechanically closed-loop test rig for the helicopter gearbox. Aviation, 23(4), 143-153. https://doi.org/10.3846/aviation.2019.11869
Published in Issue
Dec 31, 2019
Abstract Views
1153
PDF Downloads
801
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Adnan, R., Rahiman, M. H. F., & Samad, A. M. (2010). Model identification and controller design for real-time control of hydraulic cylinder. In Signal Processing and Its Applications (CSPA), 2010 6th International Colloquium on (pp. 1–4). IEEE. Mallaca City, Malaysia. https://doi.org/10.1109/CSPA.2010.5545309

Ahn, K. K., & Truong, D. Q. (2009). Online tuning fuzzy PID controller using robust extended Kalman filter. Journal of Process Control, 19(6), 1011–1023. https://doi.org/10.1016/j.jprocont.2009.01.005

Åkerblom, M. (1999). Gear test rig for noise and vibration testing of cylindrical gears. Proceedings OST-99 Symposium on Machine Design, 183–199.

Arun, A. P., Giriraj, B., & Rahaman, A. F. (2014). Gear Test Rig-A Review. International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS, 14(05).

Camacho, E., & Alba, B. (2004). C.: Model predictive control (pp. 13–45). Springer-Verlag, London.

Camacho, E. F., & Bordons, C. (2007). Nonlinear model predictive control: An introductory review. In Assessment and future directions of nonlinear model predictive control (pp. 1–16). Springer. https://doi.org/10.1007/978-3-540-72699-9_1

Chen, H.-M., Renn, J.-C., & Su, J.-P. (2005). Sliding mode control with varying boundary layers for an electro-hydraulic position servo system. The International Journal of Advanced Manufacturing Technology, 26(1–2), 117–123. https://doi.org/10.1007/s00170-004-2145-0

Dempsey, P. J., Lewicki, D. G., & Le, D. D. (2007). Investigation of current methods to identify helicopter gear health. In 2007 IEEE Aerospace Conference (pp. 1–13). IEEE. Big Sky, MT, USA. https://doi.org/10.1109/AERO.2007.352844

Frost, R. B., & Cross, T. R. (1990). Full-load testing of large gear-boxes using closed-loop power circulation. In Fifth International Conference on Manufacturing Engineering 1990: ICME-90; Preprints of Papers (p. 411). Institution of Engineers, Australia.

Guan, C., & Pan, S. (2008). Adaptive sliding mode control of electro-hydraulic system with nonlinear unknown parameters. Control Engineering Practice, 16(11), 1275–1284. https://doi.org/10.1016/j.conengprac.2008.02.002

Huang, S., & Lee, T. H. (2013). Applied predictive control (pp. 37–70). Springer Science & Business Media.

Ishak, N., Tajjudin, M., Adnan, R., & Ismail, H. (2017). System identification and model validation of electro-hydraulic actuator for quarter car system. ARPN Journal of Engineering and Applied Sciences, 4, 27–35.

Ishak, N., Yusof, N. M., Azahar, W. N. A. W., Adnan, R., & Tajudin, M. (2015). Model identifiction and controller design of a hydraulic cylinder based on pole placement. In Signal Processing & Its Applications (CSPA), 2015 IEEE 11th International Colloquium on (pp. 198–202). IEEE Kuala Lumpur, Malaysia. https://doi.org/10.1109/CSPA.2015.7225645

Kingston, A. W., Oliveri, S., Ferger, R. L., & Weigert, T. (2001, May 15). Electrically actuated hydraulic power cylinder. Google Patents.

Ling, T. G., Rahmat, M. F., Husain, A. R., & Ghazali, R. (2011). System identification of electro-hydraulic actuator servo system. In Mechatronics (ICOM), 2011 4th International Conference On (pp. 1–7). IEEE. Kuala Lumpur, Malaysia. https://doi.org/10.1109/ICOM.2011.5937172

Ljung, L. (1999). System identification – Theory for the User 2nd edition PTR Prentice-Hall (pp. 358–431). Upper Saddle River, NJ.

Mardani, M. (2018). Mechanically closed loop gearbox test rig controller. Control Engineering Letters, 3(1), 12–26.

Mihailidis, A., & Nerantzis, I. (2009). A new system for testing gears under variable torque and speed. Recent Patents on Mechanical Engineering, 2(3), 179–192. https://doi.org/10.2174/2212797610902030179

Mozafari, S., Rezazadeh Mohamadi, M., Dolatkhah Takloo, S., & Mardani, M. (2017). Design of a mechanically closed-loop test rig for testing aviation industry’s gearboxes. Aviation, 21(4), 132–142. https://doi.org/10.3846/16487788.2017.1415225

Palermo, A., Anthonis, J., Mundo, D., & Desmet, W. (2014a). A novel gear test rig with adjustable shaft compliance and misalignments part I: design. In Advances in Condition Monitoring of Machinery in Non-Stationary Operations (pp. 497–506). Springer. https://doi.org/10.1007/978-3-642-39348-8_43

Palermo, A., Toso, A., Heirman, G. H. K., Cerdá, R., Gulinelli, M., Mundo, D., & Desmet, W. (2014b). Structural coupling and non-linear effects in the experimental modal analysis of a precision gear test rig. In International Gear Conference, Vol. 2014 (pp. 1049–1059). https://doi.org/10.1533/9781782421955.1049

Pei, Z., Zhang, Y., & Tang, Z. (2007). Model reference adaptive PID control of hydraulic parallel robot based on RBF neural network. In 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1383–1387). IEEE. Sanya, China.

Rahmat, M. F., Rozali, S. M., Wahab, N. A., & Jusoff, K. (2010). Modeling and controller design of an electro-hydraulic actuator system. American Journal of Applied Sciences, 7(8), 1100– 1108. https://doi.org/10.3844/ajassp.2010.1100.1108

Ramdani, A., & Grouni, S. (2017). Dynamic matrix control and generalized predictive control, comparison study with IMC-PID. International Journal of Hydrogen Energy, 42(28), 17561–17570. https://doi.org/10.1016/j.ijhydene.2017.04.015

Rozali, S. M., Rahmat, M. F., Wahab, N. A., & Ghazali, R. (2010). PID controller design for an industrial hydraulic actuator with servo system. In 2010 IEEE Student Conference on Research and Development (SCOReD) (pp. 218–223). IEEE. https://doi.org/10.1109/SCORED.2010.5704005

Shao, J., Wang, Z., Lin, J., & Han, G. (2009). Model identification and control of electro-hydraulic position servo system. In 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, Vol. 1 (pp. 210–213). IEEE. https://doi.org/10.1109/IHMSC.2009.60

Söderström, T., & Stoica, P. (1989). System identification (pp. 363–434). Prentice-Hall, Inc.

Sovardi, C., Jaensch, S., Förner, K., Selimefendigil, F., & Polifke, W. (2013). Parametric vs. nonparametric identification of nonlinear acoustic scattering at duct discontinuities based on LES data. In Proceedings of the Summer Program (pp. 1–18). Sonderforschungsbereich Collaborate Research Centre, München, Germany.

Suryavanashi, A., Wang, S., Gao, R., Danai, K., & Lewicki, D. G. (2002). Condition monitoring of helicopter gearboxes by embedded sensing. In American Helicopter Society 58 th Annual Forum, 11(13), 458–467. Montreal, Canada. http://toc.proceedings.com/11812webtoc.pdf

Takloo, S. D., Mozafari, S., Rezazadehmohamadi, M., & Mardani, M. (2017). Fractional Order PID control mechanism for helicopter gearbox test control with internal and external disturbance. Bulletin de La Société Royale Des Sciences de Liège, 86 (special issue), 27–138.

Wang, X., & Syrmos, V. L. (2008). Fault detection, identification and estimation in the electro-hydraulic actuator system using EKF-based multiple-model estimation. In 2008 16th Mediterranean Conference on Control and Automation (pp. 1693–1698). IEEE. Ajaccio, France. https://doi.org/10.1109/MED.2008.4602248

Yang, X., Zheng, X., & Chen, Y. (2018). Position tracking control law for an electro-hydraulic servo system based on backstepping and extended differentiator. IEEE/ASME Transactions on Mechatronics, 23(1), 132–140. https://doi.org/10.1109/TMECH.2017.2746142

Yao, J., Wang, X., Hu, S., & Fu, W. (2011). Adaline neural network-based adaptive inverse control for an electro-hydraulic servo system. Journal of Vibration and Control, 17(13), 2007–2014. https://doi.org/10.1177/1077546310395972

Yusof, N. M., Ishak, N., Rahiman, M. H. F., Adnan, R., & Tajjudin, M. (2015). Fractional-order model identification for electro-hydraulic actuator. In Control Conference (ASCC), 2015 10th Asian (pp. 1–5). IEEE. Kota Kinabalu, Malaysia. https://doi.org/10.1109/ASCC.2015.7244852