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Tracking Error Compensation of XY Table Ball Screw Driven System Using Cascade Fuzzy P+PI


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DOI: https://doi.org/10.15866/ireaco.v9i5.9883

Abstract


This paper describes the potential of the fuzzy logic technique and cascade controller in improving the tracking performance of the XY Table Ball Screw Driven System. The proposed controller used in this research is Cascade Fuzzy P+PI. This proposed technique is compared to other techniques, namely PI and Fuzzy-PI controllers, for the purpose of proving the ability of both techniques in producing good results. The performances of the systems are analyzed to two cases, with and without disturbance. The disturbance case involves the form of cutting force with different spindle speeds which are 1000 rpm, 2000 rpm, and 3000 rpm. Besides, in order to examine robustness, the system is operated under different frequencies of 0.3 Hz, 0.5 Hz, and 0.7 Hz. The results show that the combination of Fuzzy Logic technique with Cascade Controller, which is known as Cascade Fuzzy P+PI, successfully, provide a good performance with an increase of 55% to 71% compared to other methods tested in this research.
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Keywords


XY Machine; Cascade P+PI; Fuzzy Control; Tracking Performance; Disturbance Compensation

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References


R. Singh, Introduction to Basic Manufacturing Process and Workshop Technology. New Age International (P) Limited, Publishers, 2006.
http://dx.doi.org/10.1515/9783110336726-021

K. Erkorkmaz and Y. Altintas, “High speed CNC system design. Part III: High speed tracking and contouring control of feed drives,” Int. J. Mach. Tools Manuf., vol. 41, no. 11, pp. 1637–1658, 2001.
http://dx.doi.org/10.1016/s0890-6955(01)00004-9

L. B. Zhang, Y. P. You, and X. F. Yang, “A control strategy with motion smoothness and machining precision for multi-axis coordinated motion CNC machine tools,” Int. J. Adv. Manuf. Technol., vol. 64, no. 1–4, pp. 335–348, 2013.
http://dx.doi.org/10.1007/s00170-012-4019-1

P. Maji, S. K. Patra, and K. Mahapatra, “Design and Implementation of Fuzzy Approximation PI Controller for Automatic Cruise Control System,” Adv. Artif. Intell., vol. Preprint, pp. 1–7, 2015.
http://dx.doi.org/10.1155/2015/624638

S. N. S. Salim, M. F. Rahmat, A. `Athif M. Faudzi, and Z. H. Ismail, “Position control of pneumatic actuator using an enhancement of NPID controller based on the characteristic of rate variation nonlinear gain,” Int. J. Adv. Manuf. Technol., vol. 75, no. 1, pp. 181–195, 2014.
http://dx.doi.org/10.1007/s00170-014-6064-4

K. K. Ahn and D. Q. Truong, “Online tuning fuzzy PID controller using robust extended Kalman filter,” J. Process Control, vol. 19, no. 6, pp. 1011–1023, 2009.
http://dx.doi.org/10.1016/j.jprocont.2009.01.005

Manuaba, I., Priyadi, A., Hery P., M., Coordination Tuning PID-PSS and TCSC Based Model of Single Machine Infinite-Bus Using Combination Bacteria Foraging-Particle Swam Optimization Method, (2015) International Review of Electrical Engineering (IREE), 10 (6), pp. 787-794.
http://dx.doi.org/10.15866/iree.v10i6.7330

Sebba, M., Bekhechi, O., Chaker, A., A Fuzzy Tuned Adaptive PI Controller Based UPFC to Improve Power Oscillations Damping in Multi Machine Power System, (2015) International Review on Modelling and Simulations (IREMOS), 8 (3), pp. 307-314.
http://dx.doi.org/10.15866/iremos.v8i3.5426

Rajkumar, M., Manoharan, P., Harmonic Reduction of Fuzzy PI Controller Based Three-Phase Seven-Level DCMLI with SVPWM for Grid Connected Photovoltaic System, (2014) International Review on Modelling and Simulations (IREMOS), 6 (3), pp. 684-692.

Caner, M., Yabanova, İ., Çınar, S., Çankaya, H., Yönetken, A., Real Time PID Control Application of a Single Machine Laboratory Scale Power System, (2013) International Journal on Energy Conversion (IRECON), 1 (2), pp. 105-110.

Benzeniar, H., Fellah, M., A Microsatellite Reaction Wheel Based on a Fuzzy Logic Controller for the Attitude Control System, (2014) International Review of Aerospace Engineering (IREASE), 7 (5), pp. 171-176.
http://dx.doi.org/10.15866/irease.v7i5.4973

S. Najib, S. Salim, M. F. Rahmat, A. A. M. Faudzi, Z. H. Ismail, and N. H. Sunar, “Position Control of Pneumatic Actuator using Self-Regulation Nonlinear PID (SN-PID).” Mathematical Problems in Engineering , 1-12 , 2014
http://dx.doi.org/10.1155/2014/957041

L. Abdullah, Z. Jamaludin, Q. Ahsan, J. Jamaludin, N. A. Rafan, C. T. Heng, K. Jusoff, and M. Yusoff, “Evaluation on Tracking Performance of PID , Gain Scheduling and Classical Cascade P / PI Controller on XY Table Ballscrew Drive System, "World Applied Sci. Journal,” vol. 21, pp. 1–10, 2013.
http://dx.doi.org/10.1088/1757-899x/53/1/012010

L. Zhu and D. Toncich, “A PID-type Fuzzy Controller Model for Machine Control Applications,” Int J Adv Manuf Technol pp. 696–707, 1997.
http://dx.doi.org/10.1007/bf01179069

X. Dong, Z. Jian-qu, and W. Feng, “Fuzzy PID Control To Feed Servo System of CNC Machine Tool,” Procedia Eng., vol. 29, pp. 2853–2858, 2012.
http://dx.doi.org/10.1016/j.proeng.2012.01.403

K. Tsuruta, K. Sato, and T. Fujimoto, “High-speed and high-precision position control using a sliding mode compensator,” Electrical Engineering in Japan vol. 174, no. 2, pp. 65–71, 2011.
http://dx.doi.org/10.1002/eej.21011


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