- Under certain conditions, the normal control mode will transfer to an exception mode. The exception modes include: sleep mode, manual mode, failure mode, calibration mode, and auto-tuning mode. All of these modes perform in an open loop control except auto-tuning mode which performs ON-OFF plus PID closed loop control.
- PLATINUM Series Temperature and Process Controllers Proportional integral derivative (PID) control is a well established way of driving a system towards a target position or level. It’s practically ubiquitous as a means of controlling temperature, and finds application in myriad chemical and scientific processes as well as automation.
48VFL11: 1/16 DIN Temperature PID Controller with One Relay Output Fuzzy Logic PID, Auto Tuning, and Soft Start features. 48VFL11 Temperature PID controller offers Fuzzy Logic enhanced PID and a Soft-Start feature that protects heaters from cold-starts.
![A Fuzzy Auto-tuning Pid Temperature Controller A Fuzzy Auto-tuning Pid Temperature Controller](/uploads/1/2/6/1/126123649/943629134.jpg)
A Fuzzy Auto-tuning Pid Temperature Controller Manual
- Roy, P., Roy, B.K.: Fractional order PI control applied to level control in coupled two tank MIMO system with experimental validation. Control Eng. Pract. 48, 119–135 (2016)CrossRefGoogle Scholar
- Li, Z., Xiao, D.: A fuzzy adaptive PID controller based on neural network. Control Decis. 3, 340–345 (1996)Google Scholar
- Wang, Y.-G., Xu, X.-M.: Adaptive and optimal PI controller with robustness. Acta Autom. Sin. 35(10), 1352–1356 (2009)CrossRefGoogle Scholar
- Yang, X.-J.: The design of intelligent PID controller based on fuzzy theory. Manuf. Autom. 35(3), 115–117 (2013)Google Scholar
- Zou, T., Sun, H.-J., Zhang, X., et al.: An implementation of split control strategy for multi-variable predictive control. Control Decis. 32(4), 746–750 (2017)Google Scholar
- Cherrat, N., Boubertakh, H., Arioui, H.: An adaptive fuzzy PID control for a class of uncertain nonlinear underactuated systems. In: International Conference on Modelling, Identification and Control. IEEE, pp. 677–682 (2017)Google Scholar
- Ji, H., Tian, M.: Analysis and Calculation of Shell and Tube Heat Exchanger. Science Press (1996)Google Scholar
- Yu, L.: Engineering Fluid Mechanics. China Machine Press (2015)Google Scholar
- Ding, D.-J., Wang, Y.-G.: Modeling in frequency domain and controller parameter tuning for industrial processes. Control Eng. China 23(11), 1714–1718 (2016)Google Scholar
- Mahapatro, S.R., Subudhi, B., Ghosh, S.: Adaptive fuzzy PI controller design for coupled tank system: an experimental validation. IFAC Proc. Vol. 47(1), 878–881 (2014)CrossRefGoogle Scholar
- Wang, H., Zhao, S., Gu, J.: Development and application of fuzzy adaptive PID function block based on SCL. Ind. Control Comput. 25(2), 73–74 (2012)Google Scholar