Plan and Reenactment of Fluffy Rationale framework for control of pneumatic valve for bottle washer within the refreshment industry
DOI: https://doi.org/10.14710/jphi.v%25vi%25i.1-13
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Parry, J., Shaw, L., Arnaud, M.J. and Smith, A.J., 2001. Investigation of mineral waters and soft drinks in relation to dental erosion. Journal of Oral Rehabilitation, 28(8), pp.766-772.
Rownak, R., 2019. Factors affecting brand equity of carbonated soft drinks industry: a study of Coca-Cola and Pepsi from Malaysian youth perspective (Master's thesis, Kuala Lumpur: Kulliyyah of Economics and Management Sciences, International Islamic University Malaysia, 2019.
Rambukwella, R., Priyadarshana, D. and Vidanapathirana, R., 2015. Comparative Study on Consumer Preference of Fruit Drinks and Carbonated Drinks in Sri Lankan Beverage Market. Hector Kobbekaduwa Agrarian Research and Training Institute.
Hufemia, A.M.M., 1996. Caustic soda recovery in a bottle washing plant using membrane technology. Master of Engineering, Asian Institute of Technology-School of Environment, Resources and Development, Bangkok, Thailand.
Dulecha,K. A., Thelkar, A.R., 2021. Speed Control of Brushless Dc Engine Using fuzzy Based Show Reference Versatile Control. published in Journal of Instrumentation and Innovation Sciences , MAT Journals, vol.6, Issue-1, pp.1-35, eISSN: 2456-9860.
Chidoko, C., Sakuhuni, R.C. and Mufandaedza, S., 2015. The structure-conduct-performance paradigm and the beer industry in Zimbabwe. Global Journal of Advanced Research, 2(4), pp.735-741.
Shoga, T., Thelkar, A.R., Bharatiraja, C., Mitiku, S. and Adedayo, Y., 2019. Self-tuning regulator based cascade control for temperature of exothermic stirred tank reactor. FME Transactions, 47(1), pp.202-211.
Mushiri, T., Mahachi, A. and Mbohwa, C., 2017. A model reference adaptive control (MRAC) system for the pneumatic valve of the bottle washer in beverages using simulink. Procedia Manufacturing, 7, pp.364-373.
Zadeh, L.A., 2008. Is there a need for fuzzy logic?. Information sciences, 178(13), pp.2751-2779.
Patil, N.J. and Waghmare, L.M., 2010. Fuzzy adaptive controllers for speed control of PMSM drive. International Journal of Computer Applications, 975, p.8887.
Wang, C. and Zhu, Z.Q., 2020. Fuzzy logic speed control of permanent magnet synchronous machine and feedback voltage ripple reduction in flux-weakening operation region. IEEE Transactions on Industry Applications, 56(2), pp.1505-1517.
Teeter, J., Chow, M.Y. and Brickley, J.J., 1994, December. Use of a fuzzy gain tuner for improved control of a DC motor system with nonlinearities. In Proceedings of 1994 IEEE International Conference on Industrial Technology-ICIT'94, pp. 258-262.
Lee, C.K. and Chan, W.T., 1995, May. Utilization of the saturation effect on a DC motor drive with a fuzzy controller. In Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications, pp. 342-349.
Viorel, I.A. and Hedesiu, H., 2001, June. On the induction motors speed estimators robustness against their parameters. In IEMDC 2001. IEEE International Electric Machines and Drives Conference (Cat. No. 01EX485),pp. 931-934.
Gajjar, A.G., Patel, A.I. and Singh, R.G., 2015, March. Design and development of bottle washer machine for small scale beverage industry. In 2015 International Conference on Advances in Computer Engineering and Applications, pp. 325-331.
Feyo, A., Thelkar, A.R., Bharatiraja, C. and Adedayo, Y., 2020. Reference design and comparative analysis of model reference adaptive control for steam turbine speed control. FME Transactions, 48(2), pp.329-341.
Habtamu, S., Feyo, A. and Thelkar, A.R., 2021. Design and Stochastic Modeling of Pitch Angle Control of Wind Turbine using Adaptive Controller. published in Journal of Alternative and Renewable Energy Sources, MAT Journals, 7(1), pp.29-39