Research the Electromechanical Tracking Control System Working in Slow Mode, Taking into Account the Nonlinear Uncertainty Factor and the State Observer

International Journal of Electrical and Electronics Engineering
© 2021 by SSRG - IJEEE Journal
Volume 8 Issue 3
Year of Publication : 2021
Authors : Tran Duc Chuyen, Vu Thi To Linh
How to Cite?

Tran Duc Chuyen, Vu Thi To Linh, "Research the Electromechanical Tracking Control System Working in Slow Mode, Taking into Account the Nonlinear Uncertainty Factor and the State Observer," SSRG International Journal of Electrical and Electronics Engineering, vol. 8,  no. 3, pp. 1-8, 2021. Crossref,


In this paper, presenting a study of electromechanical tracking drive system working in slow mode, taking into account the uncertainty of nonlinearity, the parameter change of the model, and the state observer using PMSM motors used in industry and military. The system consists of a position controller loop and loop speed controller. In which loop speed controller using adaptive law to compensate the uncertainty function and built the sliding mode state observers to estimate load torque, friction, and interferences. The controller is proposed to improve the quality system, taking into account the uncertain nonlinear components for drive systems such as the moment of inertia, friction torque, etc. Research results will be the basis for the establishment of control algorithms, system design electric drives in the industry, military, defense, and security.


PMSM motor control, Drive system tracking, Adaptive sliding mode control, State observer, Variable structural control, Very low speed, Slow mode taking.


[1] D. Phuoc. Nguyen, The Advanced control theory., Science and Technics Publishing House (in Vietnamese), Hanoi, Vietnam, (2016).
[2] Q. Khanh. Bui, V. Lien. Nguyen, Electric drive base. Science and Technics Publishing House (in Vietnamese), Hanoi, Vietnam, (2012).
[3] D. Chuyen. Tran, Electric drive. Science and Technics Publishing House (in Vietnamese), Hanoi, Vietnam, (2016).
[4] M. Chinh. Vo, Power electronics, Science and Technics Publishing House (in Vietnamese), Hanoi, Vietnam, (2015).
[5] H. Viet. Dao, Analysis, and synthesis of electric drive systems, People's Army Publishing House (in Vietnamese), Hanoi, Vietnam, (2010).
[6] P. Quang. Nguyen and Jörg-Andreas Dittrich., Intelligent electric drive, Science and Technics Publishing House, (in Vietnamese),
Hanoi, Viet Nam, (2006).
[7] J. Chiasson, Modeling and high-performance control of electric machines. Wiley-IEEE Press. Published by Inc., Hoboken, New Jersey, Printed in the United States of America, (2005).
[8] P. Ioannou, and J. Sun, Robust Adaptive Control., University of Southern California, 6(2017).
[9] L. Keviczky, R. Bars, J. Hetthéssy, C. Bányász, and C. Engineering, MATLAB Exercises., Springer Nature Singapore Pte Ltd, USA ISSN 1439-2232, (2019).
[10] Andrea Bacciotti, Stability and Control of Linear Systems, Publishing Ltd; Springer Nature Switzerland AG (2019).
[11] Andrzej Bartoszewicz, Sliding mode control, first published March Printed in India, (2011).
[12] Utkin, V., Guldner, J., Shi, J.: Sliding Mode Control in Electromechanical Systems. Published by CRC Press LLC, Boca Raton (1999).
[13] Vadim Utkin, Jürgen Guldner, Jingxin Shi, Sliding Mode Control in Electro-Mechanical Systems, Published by Taylor & Francis Group, LLC (2009). eBook Published (2017).
[14] Y.-C. Chang H.-M. Yen, Design of a robust position feedback tracking controller for flexible-joint, IET Control Theory Appl, (2011).
[15] Francis X. Govers, Artificial Intelligence for Robotics, Published by Packt Publishing Ltd. Livery Place. 35 Livery Street, Birmingham, B3 2PB, UK, (2018).
[16] CHIA-MING CHANG, CHANG-HUAN LIU., Adaptive Speed Sensorless Induction Motor Drive for Very-Low-Speed and Zero Stator Frequency Operation. Electric Power Components and Systems, 38(2010) 804-819.
[17] C. Uyulan., A robust-adaptive linearizing control method for sensorless high precision control of induction motor”. Measurement and Control 2019, 52(2019) (5-6) 634-656.
[18] M. S. Zaky, M. Khater, Hyasin, and S. S. Shokralla, Very low speed and zero speed estmations of sensorless induction motor drivers, Electric Power Systems Research, 80(2010) 143-151.
[19] T. D. Chuyen et al. D. Q. Hiep, D. H. Du, Research to Improve the Quality Control for Drive System Tracking Electromechanical Takes into Account Nonlinear Undetermined Application in Industrial Production. The under exclusive license to Springer Nature Switzerland AG 2021, ICERA 2020, LNNS 178(2021) 708 – 723.
[20] Z. Li, J. Chen, G. Zhang, and M. Gan., Adaptive Robust Control of Servo Mechanisms With Compensation for Nonlinearly Parameterized Dynamic Friction, IEEE Transaction on Control Systems Technology, 21(1)(2013) 194-202.
[21] Kalyana C. Veluvolu, Dongik Lee., Sliding mode high-gain observers for a class of uncertain nonlinear systems., Applied Mathematics Letters 24(2011) 329–334.
[22] O. M. Kwon and J. H. Park, Exponential stability of uncertain dynamic systems including state delay., Applied Mathematics Letters, 19(9)(2006) 901-907.
[23] M. R. Msukwa, E. W. Nshama, and N. Uchiyama, Adaptive Sliding Mode Control With Feedforward Compensator for Energy-Efficient and High-Speed Precision Motion of Feed Drive Systems, IEEE Access, 8(2020) 43571-43581.
[24] M. N. Uddin and M. M. I. Chy, A novel fuzzy-logic-controller-based torque and flux controls of IPM synchronous motor, IEEE Trans. Ind. Appl., 46(3)(2010) 1220-1229. [25] T. Zhang, Y. Yu, and Y. Zou., An Adaptive Sliding-Mode Iterative Constant-force Control Method for Robotic Belt Grinding Based on a One-Dimensional Force Sensor, Sensors, 19(7)(2019), Art. no. 1635.
[26] K.Sato, J. Shin, T. Koseki and Y. Aoyama, Basic Experiments for High-Torque, Low-Speed Permanent Magnet Synchronous Motor and a Technique for Reducing Cogging Torque., IEEE,(2010) 1- 6.
[27] Chee Pin Tana; Xinghuo Yub; Zhihong Manc., Terminal sliding mode observers for a class of nonlinear systems., Automatica 46(2010) 1401_1404.
[28] K. Akatsu and A. Kawamura., Sensorless very low-speed and zero-speed estimations with online rotor resistance estimation of induction motor without signal injection., IEEE Trans. on Industry Applications, 36(3)(2000) 764-771.
[29] H. Li, H.P. Xie, X. Yi, Y. Zheng., Research on low speed control of permanent magnet synchronous motor based on state observer, 4th International Conference on Biomedical Engineering and Informatics (BMEI 2011).
[30] Seong Ik Han, Chan Se Jeong; and Soon Yong Yang: “Robust sliding mode control for uncertain servo system using friction observer and recurrent fuzzy neural networks. Journal of Mechanical Science and Technology 26(2012) 1149-1159, 4.
[31] Jesús Linares-Flores, Carlos García-Rodríguez, Hebertt Sira-Ramírez, and Oscar David Ramírez-Cárdenas, Robust Backstepping Tracking Controller for Low-Speed PMSM Positioning System: Design, Analysis, and Implementation, IEEE Transactions on Industrial Informatics. 11(5)(2015) 1130-1141,.
[32] Б.К Чемоданов - Следящие приводы Т1, 2.- М.: Изд. МГТУ им Баумана, (1999).
[33] КлючeвB.И.Тeopuя электроnpuвoда, Mocквa энepгoaтoмиздт, (2001).