Flatness Based Control Structure for Polysolenoid Permanent Stimulation Linear Motors

International Journal of Electrical and Electronics Engineering
© 2016 by SSRG - IJEEE Journal
Volume 3 Issue 12
Year of Publication : 2016
Authors : Quang H. Nguyen, Nam P. Dao, Ty T. Nguyen, Hung M. Nguyen, Hien N. Nguyen, Tan D. Vu
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How to Cite?

Quang H. Nguyen, Nam P. Dao, Ty T. Nguyen, Hung M. Nguyen, Hien N. Nguyen, Tan D. Vu, "Flatness Based Control Structure for Polysolenoid Permanent Stimulation Linear Motors," SSRG International Journal of Electrical and Electronics Engineering, vol. 3,  no. 12, pp. 29-35, 2016. Crossref, https://doi.org/10.14445/23488379/IJEEE-V3I12P110

Abstract:

 Nowadays, linear motions are almost indirectly realized by rotational motors which cause several inherent weaknesses. Using motors able to create directly linear movements is capable of removing the above limitations. This paper presents a control solution for Polysolenoid permanentstimulation linear motors according to flatness based structure. The system allows output parameters reach reference trajectories and all of currents are mobilized to make the propulsion force of the linear motors even when there is lack of model parameters or effects of disturbances. The fundamental of the mentioned control solution is the model of the object and the flatness based method. Simulation results generated by MATLAB – Simulink re-emphasize performance of the proposed control structure.

Keywords:

Flatness control, Polysolenoid linear motors, SVM, two-phase inverter, uncertain compensation, parameter estimation.

References:

[1] Jul – Ki Seok, Jong – Kun Lee, Dong – Choon Lee (2006) Sensorless Speed Control of Nonsalient Permanent Magnet Synchronous Motor Using Rotor – Position – Tracking PI Controller. IEEE Transactions on Industrial Electronics, Vol. 53, No. 2, pp.399 – 405.
[2] Yuan – Rui Chen, Jie Wu, Nobert Cheung (2004) Lyapunov’s Stability Theory – Based Model Reference Adaptive Control for Permanent Magnet Linear Motor Drives. Proc of Power Electronics Systems and Application, 2004, pp. 260 – 266.
[3] Chin – I Huang, Li – Chen Fu (2002) Adaptive Backstepping Speed/Position Control with Friction Compensation for Linear Induction
[4] Ying – Shieh Kung (2004) High Performance Permanent Magnet Linear Synchronous Motor using TMS320F2812 DSP Controller. IEEE Asia – Pacific Conference on Circuit and System, pp. 645 – 648.
[5] Faa – Jeng Lin, Po – Hung Shen (2004) A DSP – based Permanent Magnet Linear Synchronous Motor Servo Drive Using Adaptive Fuzzy – Neural – Network Control. Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechtronics, pp. 601 – 606.
[6] Gerardo Tapia, Arantxa Tapia (2007) Sliding – Mode Control for Linear Permanent – Magnet motor Position Tracking. Proc of the IFAC World Congress, pp.
[7] XiZhang, Junmin Pan (2005) Homogeneity – Based Higher – Order Sliding mode Controller design for PMLSM. Proc of the 5th WSEAS/IASME, pp. 52 – 60.
[8] Tian Yanfeng, Guo Qingding (2004) Study on Robustness – Tracking Control for Linear Servo. Transaction of China Electrotechnical Society, pp. 1060 – 1064.
[9] Emanuel Delaleau, Aleksandra M. Stankovic (2004) Flatness – based hierarchical control of PM synchronous motor. Proceeding of the 2004 American Control Conference, pp. 65 – 70.
[10] Jacek F. Gieras, Zbigniew J. Piech, Bronislaw Tomczuk Linear Synchronous Motors Transportation and Automation Systems 2nd Edition. CRC press, 2011.
[11] I. Boldea; Linear Electric Machines, Drives, and MAGLEVs Handbook. CRC press, 2013.
[12] Nguyen Phung Quang, Jörg Andresas Dittrich; Vector Control of Three – Phase AC Machines - System Development in the Practice, Springer, 2008.
[13] Emmanuel Delaleau, Aleksandar M.Stankovic; Flatness – based hierarchical control of the PM synchronous motor; Proceeding of the 2004 American Control Reference, 2004.
[14] J. Levine; Analysis and Control of Nonlinear Systems:A flatness based approach; Springer,1993.
[15] V. Kremer, Z.Q. Zhu, D. Howe, “Indirect and Direct Force Control of a Two-Phase Tubular Permanent Magnet Machine”, IEEE Trans. Power Electron., vol.22, no.2, pp.654-662, March 2007.