Abstract
Connecting of integrated fiber systems depends on the polarization of the light at the output of polarization controllers based on solenoid, as squeezer fiber is suitable for coherent fiber optic systems because of its low insertion loss as well as low power penalty. However, the stability in open loop of the solenoid caused by their magnetic circuit affects the performance of these polarization controllers and limits their applications. To improve stability performance, first; a feedback PID corrector is proposed to correct the dynamic response. Then, the authors propose to study the effect of electrical parameters variations of the PID gains of solenoid. Finally, the artificial neural network is using to predict the PID gains that will correct the solenoid dynamic response. The simulation results show the need to adjust the PID corrector in the event of system parameter changes to maintain the optimum dynamic response.
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References
Takai A, et al (2013) Prototyping the flexible solenoid-coil artificial muscle, for exoskeletal robots. In: ICCAS 2013, pp 1046–1051
Kajima T, Kawamura Y (1995) Development of a high-speed solenoid valve: investigation of solenoids. IEEE Trans Ind Electron 42(1):1–8. https://doi.org/10.1109/41.345838
Mutschler K et al (2014) Multi physics network simulation of a solenoid dispensing valve. Mechatronics 24(3):209–221
Chen M-Y et al (2010) A new design of a submicropositioner utilizing electromagnetic actuators and flexure mechanism. IEEE Trans Ind Electron 57(1):96–106
Chu L, et al (2007) Study on the dynamic characteristics of pneumatic ABS solenoid valve for commercial vehicle. In: 2007 IEEE vehicle power and propulsion conference, Arlington, TX, USA, pp 641–644
Rumbaugh SH et al (1990) Polarization control for coherent fiber-optic systems using nematic liquid crystals. J. Lightwave Technol 8(3):459–465
Li C et al (2016) Enhanced-performance control of an electromagnetic solenoid system using a digital controller. IEEE Trans Contr Syst Technol 24(5):1805–1811
Lim KW, et al (1994) Proportional control of a solenoid actuator. In: Proceedings of IECON 1994 - 20th annual conference of IEEE industrial electronics, Bologna, Italy, vol 3, pp 2045–2050
Nataraj C, Lee D (2010) Model-based adaptive control for a solenoid-valve system. In: Volume 8: dynamic systems and control, parts A and B, Vancouver, British Columbia, Canada, pp 1009–1015
Yu L, Chang TN (2010) Zero vibration on–off position control of dual solenoid actuator. IEEE Trans Ind Electron 57(7):2519–2526
Nguyen T et al (2007) Accurate sliding-mode control of pneumatic systems using low-cost solenoid valves. IEEE/ASME Trans Mechatron 12(2):216–219
Taghizadeh M et al (2009) Modeling and identification of a solenoid valve for PWM control applications. Compt Rendus Mécan 337(3):131–140
Lunge SP, Kurode SR (2013) Proportional actuator from on off solenoid valve using sliding modes. In: Proceedings of the 1st international and 16th national conference on machines and mechanisms, IIT Roorkee, India
Steiner G et al (2004) Managing uncertainties in electromagnetic design problems with robust optimization. IEEE Trans Magn 40(2):1094–1099
Kabib M et al (2016) Modelling and simulation analysis of solenoid valve for spring constant influence to dynamic response. JEAS 11:2790
Dülk I, Kovácsházy T (2014) Resistance estimation in solenoid actuators by considering different resistances in the PWM paths. Period Polytech Elec Eng Comp Sci 58(3):109–120
Zahidi A, Said A, Azami N, Nasser N (2020) Effect of fiber and solenoid variation parameters on the elements of a corrector PID for electromagnetic fiber squeezer based polarization controller. IJECE 10(3):2441
Abedallah Z, Said A, Nawfel A, Naoual N (2019) Study and simulation of fiber press control for solenoid parameters monitoring for Smart preventive maintenance. In: 2019 1st ICSSD, Rabat, Morocco, pp 1–6
Zahidi A, Amrane S, Azami N, Nasser N (2020) Self-tuning PID of the solenoid response based on fiber squeezer. In: 13th SITA, Rabat, Morocco, pp 1–6
Ikeda K, et al (2003) Endless tracking polarization controller
Smith AM (1980) Single-mode fibre pressure sensitivity. Electron. Lett. 16(20):773
Najdek K (2019) Identification of dual-active-bridge converter transfer function. Electrotech Rev 1(3):153–156
Bansal H (2009) Tuning of PID controllers using simulink. Int J Math Model Simul Appl 2(3):337–344
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Amrane, S., Zahidi, A., Azami, N., Abouricha, M., Nasser, N., Errai, M. (2021). Smart Monitoring PID of Solenoid Response Based on Fiber Squeezer. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_157
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DOI: https://doi.org/10.1007/978-3-030-73882-2_157
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