Sliding Mode Control Proposal for Non-Linear UT-SEA System

Main Article Content

Gaudi Morantes Quintana
Gerardo Fernández López
Benito Fernández Rodríguez
Juan Sebastián  Rincón

Abstract

Sliding mode control (SMC) offers an innovative alternative in control design by providing mechanisms to cope with unknown but bounded modeling uncertainties and disturbances, both inside and outside a system. This paper presents a sliding mode control proposal for the UT-SEA system, which is a series variable impedance actuator and exhibits a combination of linear and nonlinear system. The work focuses on the study of the system by applying linear and nonlinear control techniques, as well as obtaining the necessary parameters through simulations, along with the identification of the best control method, which is subsequently applied to the actual UT-SEA system. Finally, the proposed SMC demonstrates robust performance against disturbances with a simple and easy to implement method. In simulation tests, the SMC shows an improved steady-state behavior, completely eliminating the error.

Downloads

Download data is not yet available.

Article Details

How to Cite
Morantes Quintana, G., Fernández López, G., Fernández Rodríguez, B., & Rincón, J. (2024). Sliding Mode Control Proposal for Non-Linear UT-SEA System. Revista De Investigación Hatun Yachay Wasi, 3(2), 22–36. https://doi.org/10.57107/hyw.v3i2.70
Section
Artículos

References

Bechar, M., Hazzab, A., Habbab, M., Sicard, P., & Slimi, M. (2020). RT-LAB platform for real-time implementation of Luenberger observer-based speed sensorless control of induction motor. Journal of Automation, Mobile Robotics and Intelligent Systems, 13, 65 - 72. https://doi.org/10.14313/jamris/4-2019/39.

Belbekri, T., Bouchiba, B., Bousserhane, I., & Becheri, H. (2020). A study of sensorless vector control of IM using neural network Luenberger observer. International Journal of Power Electronics and Drive Systems, 11, 1259 – 1267. https://doi.org/10.11591/ijpeds.v11.i3.pp1259-1267.

Beyl, P., Van Damme, M., Van Ham, R., Vanderborght, B., & Lefeber, D. (2009). Design and control of a lower limb exoskeleton for robot-assisted gait training. Applied Bionics and Biomechanics, 6(2), 229 – 243. https://doi.org/10.1080/11762320902784393.

Fernández, B. (2008). Control of multivariable nonlinear systems by the sliding mode method. International Journal of Control, 46(3), 1019 – 1040. DOI: 10.1080/00207178708547410.

Fernández, B. (2018). Parameterization of nonlinear systems using neuro bond graphs.

Gu, D., Liu, T., Yao, Y., Ye, L., & Xu, H. (2023). Sensorless PMSM control system based on Luenberger observer. Journal of Physics: Conference Series, 2497, 012009. https://doi.org/10.1088/1742-6596/2497/1/012009.

Jerbi, H., Al-Darraji, I., Tsaramirsis, G., Kchaou, M., Abbassi, R., & Alshammari, O. (2022). Fuzzy Luenberger observer design for nonlinear flexible joint robot manipulator. Electronics, 11(10), 1569. https://doi.org/10.3390/electronics11101569.

Kang, I., Peterson, R., Herrin, K., Mazumdar, A., Young, A. (2023). Design and validation of a torque-controllable series elastic actuator-based hip exoskeleton for dynamic locomotion. Journal of Mechanisms and Robotics, 15(2), 021007. https://doi.org/10.1115/1.4055732.

Kim, H., Lee, M., Cho, H., Hwang, J., & Won, J. (2021). SMC-SPO-based robust control of AUV in underwater environments including disturbances. Applied Sciences, 11(22), 10978. https://doi.org/10.3390/app112210978.

Lee, C., & Oh, S. (2019). Development, analysis, and control of series elastic actuator-driven robot leg. Frontiers in Neurorobotics, 13, 17. https://doi.org/10.3389/fnbot.2019.00017.

Lin, Y., Chen, Z., & Yao, B. (2020). Decoupled torque control of series elastic actuator with adaptive robust compensation of time-varying loadside dynamics. IEEE Transactions on Industrial Electronics, 67, 5604 – 5614. https://doi.org/10.1109/TIE.2019.2934023.

Paine, N., & Sentis, L. (2012). A new prismatic series elastic actuator with compact size and high performance. 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1759 – 1766. https://doi.org/10.1109/ROBIO.2012.6491226.

Senoue, T., Sasamura, T., Jiang, Y., & Morita, T. (2024). Torque control of grasping force feedback using a series elastic actuator with an ultrasonic motor for a teleoperated surgical robot. Sensors and Actuators A: Physical, 348, 115655. https://doi.org/10.1016/j.sna.2023.115655.

Sun, L., Li, M., Wang, M., Yin, W., Sun, N., & Liu, J. (2020). Continuous finite-time output torque control approach for series elastic actuator. Mechanical Systems and Signal Processing, 139, 105853. https://doi.org/10.1016/j.ymssp.2019.105853.

Wu, L., Liu, J., Vazquez, S., & Mazumder, S. (2022). Sliding mode control in power converters and drives: A review. IEEE/CAA Journal of Automatica Sinica, 9, 392 – 406. https://doi.org/10.1109/jas.2021.1004380.

Yu, X., Feng, Y., & Man, Z. (2020). Terminal sliding mode control–an overview. IEEE Open Journal of the Industrial Electronics Society, 2, 36 – 52. https://doi.org/10.1109/OJIES.2020.2969471.

Zhong, H., Li, X., Gao, L., & Dong, H. (2021). Development of admittance control method with parameter self-optimization for hydraulic series elastic actuator. International Journal of Control, Automation and Systems, 19, 2357 – 2372. https://doi.org/10.1007/s12555-020-0465-y.