Positioning Control Of An Ironless Linear Motor With Continuous Motion Nominal Characteristic Trajectory Following Controller

Ironless Permanent Magnet Linear Motors (IPMLM) are abundantly applied in various automated industries due to its capability of achieving high speed and high accuracy motions. Through the removal of transmission elements, the positioning performances of IPMLM are subjected by parameter changes and e...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Foo,, Jia En
التنسيق: أطروحة
اللغة:English
English
منشور في: 2017
الموضوعات:
الوصول للمادة أونلاين:http://eprints.utem.edu.my/id/eprint/24717/1/Positioning%20Control%20Of%20An%20Ironless%20Linear%20Motor%20With%20Continuous%20Motion%20Nominal%20Characteristic%20Trajectory%20Following%20Controller.pdf
http://eprints.utem.edu.my/id/eprint/24717/2/Positioning%20Control%20Of%20An%20Ironless%20Linear%20Motor%20With%20Continuous%20Motion%20Nominal%20Characteristic%20Trajectory%20Following%20Controller.pdf
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
id my-utem-ep.24717
record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
advisor Chong, Shin Horng

topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Foo,, Jia En
Positioning Control Of An Ironless Linear Motor With Continuous Motion Nominal Characteristic Trajectory Following Controller
description Ironless Permanent Magnet Linear Motors (IPMLM) are abundantly applied in various automated industries due to its capability of achieving high speed and high accuracy motions. Through the removal of transmission elements, the positioning performances of IPMLM are subjected by parameter changes and external disturbances, which is relatively difficult to model accurately. Besides that, since the IPMLM are often used in long working range applications, they are easily influenced by the saturation effect of the system, and may cause large overshoot. Therefore, in this research, a Continuous Motion-Nominal Characteristic Trajectory Following (CM-NCTF) controller is proposed for positioning control of an IPMLM. While the CM-NCTF controller was applied in various mechanism, the performance of CM-NCTF controller has yet to be validated for positioning control of IPMLM. The proposed controller consists of two components: A Nominal Characteristic Trajectory (NCT) and a proportional-plus-integral (PI) compensator. The NCT works as a motion reference for the IPMLM, where the PI compensator makes the system motion follows the constructed NCT. The NCT is constructed on a phase plane using the decelerating velocity of the IPMLM and its corresponding displacement in open loop configuration. This step enables the NCT to capture the nonlinearities of the IPMLM, without having to model the nonlinearities additionally. The PI compensator is designed using information from the NCT and open loop response of the IPMLM. A conditional freeze anti-windup is added to the PI compensator to eliminate actuator saturation effect, particularly due to the large integral gain, and due to large working range motion. The positioning performance in point-to-point and tracking motion is examined and compared to a Proximate Time Optimal Servomechanism (PTOS) controller experimentally. Experimental results show that the CM-NCTF controller does not exhibit any overshoot or steady state error at all, and has 370 % faster rise time than the PTOS controller at smaller displacement. In tracking motion, the CM-NCTF controller performs better than the PTOS controller, with at least 530 % improvement of tracking accuracy at small displacement, and 2400 % improvement of tracking accuracy at large displacement. In the evaluation of robustness against mass changes, experimental results and sensitivity analysis show that the CM-NCTF controller is robust towards mass variation as compared to the PTOS controller. In conclusion, the positioning performance of the CM-NCTF controller is validated on an IPMLM with high positioning and robust performance in the presence of mass variation as compared to PTOS controller, with no occurrence of actuator saturation problem.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Foo,, Jia En
author_facet Foo,, Jia En
author_sort Foo,, Jia En
title Positioning Control Of An Ironless Linear Motor With Continuous Motion Nominal Characteristic Trajectory Following Controller
title_short Positioning Control Of An Ironless Linear Motor With Continuous Motion Nominal Characteristic Trajectory Following Controller
title_full Positioning Control Of An Ironless Linear Motor With Continuous Motion Nominal Characteristic Trajectory Following Controller
title_fullStr Positioning Control Of An Ironless Linear Motor With Continuous Motion Nominal Characteristic Trajectory Following Controller
title_full_unstemmed Positioning Control Of An Ironless Linear Motor With Continuous Motion Nominal Characteristic Trajectory Following Controller
title_sort positioning control of an ironless linear motor with continuous motion nominal characteristic trajectory following controller
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty of Electrical Engineering
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/24717/1/Positioning%20Control%20Of%20An%20Ironless%20Linear%20Motor%20With%20Continuous%20Motion%20Nominal%20Characteristic%20Trajectory%20Following%20Controller.pdf
http://eprints.utem.edu.my/id/eprint/24717/2/Positioning%20Control%20Of%20An%20Ironless%20Linear%20Motor%20With%20Continuous%20Motion%20Nominal%20Characteristic%20Trajectory%20Following%20Controller.pdf
_version_ 1747834094490746880
spelling my-utem-ep.247172021-10-05T12:43:01Z Positioning Control Of An Ironless Linear Motor With Continuous Motion Nominal Characteristic Trajectory Following Controller 2017 Foo,, Jia En TK Electrical engineering. Electronics Nuclear engineering Ironless Permanent Magnet Linear Motors (IPMLM) are abundantly applied in various automated industries due to its capability of achieving high speed and high accuracy motions. Through the removal of transmission elements, the positioning performances of IPMLM are subjected by parameter changes and external disturbances, which is relatively difficult to model accurately. Besides that, since the IPMLM are often used in long working range applications, they are easily influenced by the saturation effect of the system, and may cause large overshoot. Therefore, in this research, a Continuous Motion-Nominal Characteristic Trajectory Following (CM-NCTF) controller is proposed for positioning control of an IPMLM. While the CM-NCTF controller was applied in various mechanism, the performance of CM-NCTF controller has yet to be validated for positioning control of IPMLM. The proposed controller consists of two components: A Nominal Characteristic Trajectory (NCT) and a proportional-plus-integral (PI) compensator. The NCT works as a motion reference for the IPMLM, where the PI compensator makes the system motion follows the constructed NCT. The NCT is constructed on a phase plane using the decelerating velocity of the IPMLM and its corresponding displacement in open loop configuration. This step enables the NCT to capture the nonlinearities of the IPMLM, without having to model the nonlinearities additionally. The PI compensator is designed using information from the NCT and open loop response of the IPMLM. A conditional freeze anti-windup is added to the PI compensator to eliminate actuator saturation effect, particularly due to the large integral gain, and due to large working range motion. The positioning performance in point-to-point and tracking motion is examined and compared to a Proximate Time Optimal Servomechanism (PTOS) controller experimentally. Experimental results show that the CM-NCTF controller does not exhibit any overshoot or steady state error at all, and has 370 % faster rise time than the PTOS controller at smaller displacement. In tracking motion, the CM-NCTF controller performs better than the PTOS controller, with at least 530 % improvement of tracking accuracy at small displacement, and 2400 % improvement of tracking accuracy at large displacement. In the evaluation of robustness against mass changes, experimental results and sensitivity analysis show that the CM-NCTF controller is robust towards mass variation as compared to the PTOS controller. In conclusion, the positioning performance of the CM-NCTF controller is validated on an IPMLM with high positioning and robust performance in the presence of mass variation as compared to PTOS controller, with no occurrence of actuator saturation problem. 2017 Thesis http://eprints.utem.edu.my/id/eprint/24717/ http://eprints.utem.edu.my/id/eprint/24717/1/Positioning%20Control%20Of%20An%20Ironless%20Linear%20Motor%20With%20Continuous%20Motion%20Nominal%20Characteristic%20Trajectory%20Following%20Controller.pdf text en public http://eprints.utem.edu.my/id/eprint/24717/2/Positioning%20Control%20Of%20An%20Ironless%20Linear%20Motor%20With%20Continuous%20Motion%20Nominal%20Characteristic%20Trajectory%20Following%20Controller.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=116890 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Electrical Engineering Chong, Shin Horng 1. Alter, D.M. and Tsao, T.C., 1996. Control of Linear Motors for Machine Tool Feed Drives: Experimental Investigation of Optimal Feedforward Tracking Control. Journal of Dynamic Systems, Measurement, and Control, 118 (4), pp. 649–656. 2. Braembussche, P.V.D, Swevers, J., Brussel, H.V. and Vanherck, P., 1996. Accurate Tracking Control of Linear Synchronous Motor Machine Tool Axes. Mechatronics, 6 (5), pp. 507-521. 3. Bascetta, L., Rocco, P., and Magnani, G., 2010. Force Ripple Compensation in Linear Motors Based on Closed-Loop Position-Dependent Identification. IEEE/ASME Transactions on Mechatronics, 15 (3), pp. 349–359. 4. Behrens, B.A., Krimm, R., Reich, D., and Teichrib, S., 2016. Linear Drives in Metal Forming Machines and Peripherals-Recent Developments. Journal of Manufacturing Processes, 22, pp. 192–198. 5. Cao, R. and Low, K., 2009. A Repetitive Model Predictive Control Approach for Precision Tracking of a Linear Motion System. IEEE Transactions on Industrial Electronics. 56 (6), pp. 1955-1962. 6. Chen, M. and Lu, J., 2014. High-Precision Motion Control for a Linear Permanent Magnet Iron Core Synchronous Motor Drive in Position Platform. IEEE Transactions on Industrial Informatics, 10 (1), pp. 99-108. 7. Chen, Y., Xu, J.X., and Lee, T.H., 1996. Feedback-assisted High –Order Iterative Learning Control of Uncertain Nonlinear Discrete-Time Systems. International Conference on Control, Automation, Robotics and Vision, pp. 1785-1789. 8. Chen, Z., Yao, B. and Wang, Q., 2013. Accurate Motion Control of Linear Motors with Adaptive Robust Compensation of Nonlinear Electromagnetic Field Effect. IEEE/ASME Transactions on Mechatronics. 18 (3), pp. 1122-1129. 9. Chen, Z., Yao, B. and Wang, Q., 2015. Μ-Synthesis-Based Adaptive Robust Control of Linear Motor Driven Stages with High-Frequency Dynamics: A Case Study. IEEE/ASME Transactions on Mechantronics, 20 (3), pp. 1482-1490. 10. Cho, K., Kim, J., Choi, S.B., and Oh, S., 2015. A High Precision Motion Control Based on a Periodic Adaptive Disturbance Observer in a PMLSM. IEEE/ASME Transactions on Mechatronics,20 (5), pp. 2158-2171. 11. Chong, S. and Sato, K., 2008. Practical Control of Non-Friction Mechanism for Precision Positioning System. International Conference on Control, Automation and Systems, pp. 2334–2339. 12. Chong, S.H., Hashimoto, H., and Sato, K., 2011. Practical Motion Control with Acceleration Reference for Precision Motion - New NCTF Control and Its Application to Non-Contact Mechanism. Precision Engineering, 35 (1), pp. 12–23. 13. Chong, S.H. and Sato, K., 2010. Practical Controller Design for Precision Positioning, Independent of Friction Characteristic. Precision Engineering, 34 (2), pp. 286–300. 14. Chong, S.H. and Sato, K., 2015. Practical and Robust Control for Precision Motion: AR-CM NCTF Control of a Linear Motion Mechanism with Friction Characteristics. IET Control Theory & Applications, 9 (5), pp. 745–754. 15. Chong, S.H., Hee, W. K. and Sato, K., 2014. Positioning Control of an X-Y Table Based on Practical NCTF Control. International Conference on Motion and Vibration. pp. 1-9. 16. Dorato, P., 2000. Quantified Multivariable Polynomial Inequalities: The Mathematica Of Practical Control Design Problems. IEEE Control Systems, 20 (5), pp. 48–58. 17. Dorf, R.C. and Robert, H.B., 2011. Modern Control Systems, 12th ed., New Jersey: Prentice Hall. 18. Elfizy, A. T., Bone, G.M., and Elbestawi, M. A., 2004. Model-Based Controller Design for Machine Tool Direct Feed Drives. International Journal of Machine Tools and Manufacture, 44 (5), pp. 465–477. 19. Franklin, G.F., Powell, J.D. and Workman, M.L., 1998. Digital Control of Dynamic Systems. 3rd ed., California: Addison-Wesley. 20. Hama, T. and Sato, K., 2015. High-Speed and High-Precision Tracking Control of Ultrahigh-Acceleration Moving-Permanent-Magnet Linear Synchronous Motor. Precision Engineering, 40, pp. 151-159 21. Itagaki, H. and Tsutsumi, M., 2014. Control System Design of a Linear Motor Feed Drive System Using Virtual Friction. Precision Engineering, 38 (2), pp. 237–248. 22. Jamaludin, Z., Van Brussel, H., Pipeleers, G., Swevers, J., 2008. Accurate Motion Control of XY High-speed Linear Drives Using Friction Model Feedforward and Cutting Force Estimation. CIRP Annals – Manufacturing Technology, 57, pp. 403-406. 23. Komada, S., Ishida, M., Ohnishi, K., and Hori, T., 1991. Disturbance Observer-Based Motion Control of Direct Drive Motors. IEEE Transactions on Energy Conversion. 6 (3), pp. 553–559. 24. Lee, D.J. and Lee, S., 2015. Ultraprecision XY Stage Using a Hybrid Bolt-Clamped Langevin-Type Ultrasonic Linear Motor for Continuous Motion. Review of Scientific Instruments, 86 (1), pp. 1–9. 25. Liu, Z.Z., Luo, F.L. and Rahman, M.A., 2005. Robust and Precision Motion Control System of Linear-Motor Direct Drive for High-Speed X-Y Table Positioning Mechanism. IEEE Transactions on Industrial Electronics, 52(5), pp. 1357-1363. 26. Ma, Z., Sun, G., Cheng, Z., Li, Z., 2017. Linear Motor Motion Control using Fractional Order Sliding Mode Controller with Friction Compensation. Proceeding of Chinese Control Conference, pp. 3610–3614. 27. Maeda, G.J. and Sato, K., 2008. Practical Control Method for Ultra-Precision Positioning Using a Ballscrew Mechanism. Precision Engineering, 32 (4), pp. 309–318. 28. Mohd Nor, R. and Chong, S.H., 2014. Robustness Evaluation for Point-To-Point Positioning Control of a One Mass Rotary System. International Conference on Control, Automation and Systems. pp. 375–380. 29. Otten, G., De Vries, T.J. A. de Vries, Van Amerongen, J., Rankers, A.M., and Gaal, E.W., 1997. Linear Motor Motion Control Using a Learning Feedforward Controller. IEEE/ASME Transactions on Mechatronics, 2 (3), pp. 179–187. 30. Sato, K., 2012. Thrust Ripple Reduction In Ultrahigh-Acceleration Moving-Permanent-Magnet Linear Synchronous Motor. IEEE Transactions on Magnetics, 48 (12), pp. 4866–4873. 31. Sato, K. and Maeda, G.J., 2009a. Fast Precision Positioning of a Ball Screw Mechanism Based on Practical NCTF Control. International Journal of Automation Technology, 3 (3), pp. 233–234. 32. Sato, K. and Maeda, G.J., 2009b. A Practical Control Method for Precision Motion-Improvement of NCTF Control Method for Continuous Motion Control. Precision Engineering, 33, pp.175–186. 33. Sato, K., Nakamoto, K., and Shimokohbe, A., 2004. Practical Control of Precision Positioning Mechanism with Friction. Precision Engineering, 28 (4), pp.426–434. 34. Su, W. and Liaw, C., 2006. Adaptive Positioning Control for a LPMSM Drive Based on Adapted Inverse Model and Robsut Disturbance Observer. IEEE Transactions on Power Elecctronics, 21(2), pp. 505-517 35. Tan, K.K., Lee, T.H., Dou, H.F. and Lim, S.Y., 1998. Learning Enhanced Motion Control of Permanent Magnet Linear Motor. IFAC Proceedings Volumes, 31 (27), pp. 359-364. 36. Tan, K.K., Lee, T.H., Dou, H.F., Chin, S.J. and Zhao, S., 2003. Precision Motion Control with Disturbance Observer for Pulsewidth-Modulated-Driven Permanent-Magnet Linear Motors. IEEE Transactions on Magnetics, 39 (3), pp. 1813-1818. 37. Tan, K.K., Lee, T.H., Dou, H., and Zhao, S., 2004. Force Ripple Suppression in Iron-Core Permanent Magnet Linear Motors Using an Adaptive Dither. Journal of the Franklin Institute, 341 (4), pp. 375–390. 38. Tan, K.K., Lee, T.H., and Huang, S., 2008. Precision Motion Control. 2nd ed. Singapore: Springer Science & Business Media. 39. Ting, C., Chang, Y., Shi, B. and Lieu, J., 2015. Adaptive Backstepping Control for Permanent Magnet Linear Synchronous Motor Servo Drive. IET Electric Power Applications. 9 (3), pp. 265-279. 40. Wahyudi, Sato, K., and Shimokohbe, A., 2001. Robustness Evaluation of New Practical Control for PTP Positioning Systems. IEEE/ASME International Conference on Advanced Intelligent Mechatronics. pp. 843–848. 41. Wahyudi, Sato, K., and Shimokohbe, A., 2003. Characteristics of Practical Control for Point-To-Point (PTP) Positioning Systems Effect of Design Parameters and Actuator Saturation on Positioning Performance. Precision Engineering, 27 (2), pp. 157–169. 42. Wahyudi, Sato, K., and Shimokohbe, A., 2005. Robustness Evaluation of Three Friction Compensation Methods for Point-To-Point (PTP) Positioning Systems. Robotics and Autonomous Systems, 52 (2-3), pp. 247–256. 43. Xiong, Y., Weerasooriya, S. and Low, T., 1996. Improved Discrete Proximate Time Optimal Controller of a Disk Drive Actuator. IEEE Transactions on Magnetics, 32(5), pp. 4010-4012. 44. Yan, M.T. and Shiu, Y.J., 2008. Theory and Application of a Combined Feedback-Feedforward Control and Disturbance Observer in Linear Motor Drive Wire-EDM Machines. International Journal of Machine Tools and Manufacture, 48 (3-4), pp. 388–401. 45. Yang, J., Hu, C., Zhu, Y., Wang, Z. and Zhang, M., 2017. Experimental Investigation of Shaping Disturbance Observer Design for Motion Control of Precision Mechatronic Stages with Resonances. Mechanical Systems and Signal Processing, 92, pp. 334-348. 46. Yao, B. and Xu, L., 2002. Adaptive Robust Motion Control of Linear Motors for Precision Manufacturing. Mechatronics, 12 (12), pp. 595–616. 47. Zhao, S. and Tan, K.K., 2005. Adaptive Feedforward Compensation of Force Ripples in Linear Motors. Control Engineering Practice, 13 (9), pp. 1081–1092.