Self Tuning Fuzzy Logic controller with Smith structure for controlling glycerin bleaching temperature

Yusuf, Zakariah; Janin, Zuriati; Taib, Mohd Nasir

doi:10.1109/icsgrc.2010.5562526

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…In order to make sure the quality of essential oil, a good temperature controller is needed. The PID controller have been well developed for industrial and process control today [11,12,13] due to simplicity, ease of design, low cost and effectiveness for most linear systems [12]. The application of PID controller in hydro-diffusion steam distillation essential oil extraction system is expected to execute a robust response towards parameters changes and better control of steam temperature during distillation process.…”

Section: Introductionmentioning

confidence: 99%

Real time PID control for hydro-diffusion steam distillation essential oil extraction system using Gradient Descent tuning method

Yusoff

Muhammad

Nordin

et al. 2012

2012 IEEE Control and System Graduate Research Colloquium

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This paper present the implementation of real time PID controller for hydro-diffusion steam distillation essential oil extraction system based on comparison of Gradient Descent (GD) and Ziegler Nichols (ZN) tuning methods. The first order of Auto Regressive Exogenous (ARX) model was used to describe the behavior of the temperature system and will be use in the controller design. A PID controller is expected to execute a robust response towards parameters changes and better control of steam temperature during distillation process. The system had been evaluated based on rise time, % overshoot, settling time and root mean square error (RMSE). The temperature control was achieved by controlling the voltage fed to the heater ranging from 0V to 5V via digitalto-analogue converter (DAC). Robustness test of the PID controller are based on: i) introduce disturbance and ii) set-point tracking. From the result, the performance of PID controller using GD tuning method reveals that this controller can be adapt for the system because being sensitive to parameters changes and robust as the response can compensate the load disturbance and set point change.

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Section: Introductionmentioning

confidence: 99%

Real time PID control for hydro-diffusion steam distillation essential oil extraction system using Gradient Descent tuning method

Yusoff

Muhammad

Nordin

et al. 2012

2012 IEEE Control and System Graduate Research Colloquium

Self Cite

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“…Temperature control is a very important issue for high product value [13,14]. There is a large volume of published studies describing the temperature control such as steam temperature control for extraction process [15], reaction temperature control [16], temperature control in a methyl methacrylate batch polymerization reactor [17] and controlling glycerine bleaching temperature [18]. There are many controllers were implemented in temperature control such as PID, fuzzy logic controller, hybrid fuzzy logic controller and self tuning fuzzy logic controller [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Steam temperature control of hydro-diffusion essential oil extraction system using hybrid-fuzzy plus PID controller

Yusoff

Muhammad

Taib

et al. 2014

2014 IEEE Conference on Systems, Process and Control (ICSPC 2014)

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In extracting the essential oils, some of the influential factors need to be considered which can affect the yield and quality of the oils. Many studies have performed on several influential parameters and dictated that the temperature of extraction plays an important parameter that can give large effect on yield and quality. In order to regulate the temperature, a suitable controller is required. However, until now, very little publications stress on the control development of essential oil extraction system. This work proposed the simulation comparative studies on control performance of hybrid fuzzy plus PID controller using 3, 5 and 7 membership functions to regulate the steam temperature of hydro-diffusion essential oil extraction system. The ARX model was used to represent the system dynamic. The effectiveness of the proposed controller was tested via robustness test. Based on the simulated outcomes, the step responses analysis shows that the controllers performed very well. From the set point tracking test, the developed controllers were able to track the changes of set point whether in small or large set point change. There were also true for load disturbance tests.

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Self Tuning Fuzzy Logic controller with Smith structure for controlling glycerin bleaching temperature

Cited by 2 publications

References 11 publications

Real time PID control for hydro-diffusion steam distillation essential oil extraction system using Gradient Descent tuning method

Real time PID control for hydro-diffusion steam distillation essential oil extraction system using Gradient Descent tuning method

Steam temperature control of hydro-diffusion essential oil extraction system using hybrid-fuzzy plus PID controller

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