Abstract
The eccentric rotor extruder is a new kind of extrusion equipment with novel structure and outstanding engineering performance. As the structure of the eccentric rotor extruder is different from that of the traditional screw extruder, the control of the barrel temperature becomes important, including avoiding the influence of heating coupling and achieving high control accuracy. A neuron proportional-integral-derivative (neuron-PID) control algorithm of barrel temperature for the eccentric rotor extruder is introduced. The neural self-learning algorithm is able to tune PID parameters online, and the particle swarm optimization (PSO) algorithm is adopted to optimize the initial weight coefficients of the neuron. The experimental results show that the PSO-neuron-PID controller has the advantages of low overshoot and high control accuracy, and the influence of heat coupling can be counteracted effectively.
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 51435005
Award Identifier / Grant number: 51505153
Funding statement: The authors gratefully appreciate the Key Program of National Natural Science Foundation of China (grant no. 51435005), the National Natural Science Foundation of China (grant no. 51505153), and the Science and Technology Program of Guangzhou, China (grant no. 201802010008).
References
[1] Qu JP, Zhang GZ, Chen HZ, Yin XC, He HZ. Polym. Eng. Sci. 2012, 52, 2147–2156.10.1002/pen.23176Search in Google Scholar
[2] Wu T, Yuan D, Qiu F, Chen RY, Zhang GZ, Qu JP. Polym. Test. 2017, 63, 73–83.10.1016/j.polymertesting.2017.07.012Search in Google Scholar
[3] Yuan D, Wu T, Chen RY, Zhang GZ, Qu JP. J. Macromol. Sci. Pt. B Phys. 2018, 57, 348–363.10.1080/00222348.2018.1462648Search in Google Scholar
[4] Jia SK, Qu JP, Wu CR, Liu WF, Chen RY, Zhai SF, Huang Z, Chen FQ. Langmuir 2013, 29, 13509–13517.10.1021/la4023079Search in Google Scholar
[5] He HZ, Xue F, Jia PF, He GJ, Huang ZX, Liu SM, Xue B. J. Appl. Polym. Sci. doi: 10.1002/app.46489.Search in Google Scholar
[6] Zhang GZ, Wu T, Lin WY, Tan YB, Chen RY, Huang ZX, Yin XC, Qu JP. Compos. Sci. Technol. 2017, 145, 157–164.10.1016/j.compscitech.2017.04.005Search in Google Scholar
[7] Liu HY, Luo Y, Zhang GZ, Chen JJ, Yang ZT, Qu JP. Adv. Polym. Technol. 2014, 33.10.1002/adv.21452Search in Google Scholar
[8] Dormeier S. IFAC Proc. Vol. 1980, 13, 551–560.10.1016/S1474-6670(17)64981-4Search in Google Scholar
[9] Jiang J, Wen SP, Zhao GP. ISECS Int. Colloq. Comput. Commun. Control Manage. 2008, 2, 172–175.10.1109/CCCM.2008.141Search in Google Scholar
[10] Kanagalakshmi S, Manamalli D, Mohamedrafiq M. Chem. Eng. Commun. 2016, 203, 452–462.10.1080/00986445.2015.1023299Search in Google Scholar
[11] Yao K, Gao FR. Polym. Eng. Sci. 2007, 47, 254–261.10.1002/pen.20701Search in Google Scholar
[12] Yao K, Gao FR, Allgöwer F. Control Eng. Pract. 2008, 16, 1259–1264.10.1016/j.conengprac.2008.02.003Search in Google Scholar
[13] Wen SP, Jiang J, Qu JP, Jin G. J. Appl. Polym. Sci. 2010, 116, 568–576.10.1002/app.31526Search in Google Scholar
[14] Tsai CC, Lu CH. IEEE Trans. Indust. Appl. 1998, 34, 310–318.10.1109/28.663473Search in Google Scholar
[15] Lu CH, Tsai CC. IEEE Trans. Indust. Electron. 2001, 48, 968–975.10.1109/41.954561Search in Google Scholar
[16] Liu T, Yao K, Gao FR. IEEE Trans. Control Syst. Technol. 2009, 17, 1282–1294.10.1109/TCST.2008.2006746Search in Google Scholar
[17] Wang BG, Gao FR, Yue P. Chin. J. Chem. Eng. 2000, 8, 326–331.Search in Google Scholar
[18] Zhang MG, Li WH. Int. Conf. Mach. Learn. Cybernet. 2006, 3021–3025.Search in Google Scholar
[19] Zhang DY, Chen Y, Li M, Liu X. Chin. Autom. Congr. 2008, 3370–3374.Search in Google Scholar
[20] Wang ZG, Li XL, Lu XF. IEEE Int. Conf. Mechatron. Autom. 2017, 220–225.Search in Google Scholar
[21] Cao HL, Li X. IEEE Trans. Energy Convers. 2016, 31, 596–605.10.1109/TEC.2015.2510030Search in Google Scholar
[22] Ahmadi S, Abdi S, Kakavand M. Int. J. Hydrogen Energy 2017, 42, 20430–20443.10.1016/j.ijhydene.2017.06.208Search in Google Scholar
[23] Pan I, Das S, Gupta A. ISA Trans. 2011, 50, 28–36.10.1016/j.isatra.2010.10.005Search in Google Scholar PubMed
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Articles in the same Issue
- Frontmatter
- Material properties
- The effect of unidirectional shear flow-induced orientation on foaming properties of polypropylene
- An investigation on electro-induced shape memory performances of CE/EP/CB/SCF composites applied for deployable structure
- Nanocomposite film with green synthesized TiO2 nanoparticles and hydrophobic polydimethylsiloxane polymer: synthesis, characterization, and antibacterial test
- Preparation and assembly
- Binary solvent systems for durable self-adhesive conductive hydrogels
- Development of surface properties of ultra-high-molecular-weight polyethylene film using side-chain crystalline block copolymers
- Highly porous, fast responding acrylamide hydrogels through emulsion polymerization using coconut oil
- Engineering and processing
- Multizone barrel temperature control of the eccentric rotor extrusion process
- The influence of mold temperature on thermoset in-mold forming
- Innovative γ rays irradiated styrene butadiene rubber/reclaimed waste tire rubber blends: a comparative study using mechano-chemical and microwave devulcanizing methods
- Experimental study on influence of molding parameters on self-reinforcement characteristics of polymer co-injection molding