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This paper demonstrates the performance of Model Reference Adaptive Controller (MRAC) using Lyapunov and MIT schemes applied in steam distillation process in real-time and simulated conditions. The integral limits in MRAC were varied during the experiment. Simulated results shows that low SSE and RMSE were obtained when adaptation gain and integral limit were set to 0.003 and +0.01 respectively. However,...
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...
The hybrid fuzzy plus PID (HF+PID) controller using 3, 5 and 7 membership functions was implemented in hydro-diffusion essential oil extraction system. This controller was designed to regulate the steam temperature during extraction process for the purpose to achieve the desired target. In the extraction process, the temperature is very important variable that gives largest effect to the percentage...
This paper presents the comparative studies between hybrid fuzzy plus PID with different membership function and PID controller. The purposed in designing controller is to regulate the steam temperature to the operating point in order to achieve some objectives such as stability, transient performances and optimizes the economic function. The steam temperature has the great impact on the quality of...
Fuzzy model reference learning control (FMRLC), a model based controller, was implemented in steam distillation extraction oil process. The FMRLC was designed to regulate steam temperature inside the distillation column during extraction process. Maintaining the temperature to a certain degree for the period of extraction process is very important because the temperature will influence the output...
This paper presents a neural network controller in model reference adaptive controller (MRAC) for steam temperature regulation in steam distillation process. Steam temperature is one of the most significant parameters that can influence the composition of essential oil yield. Due to parameter variations and changes in operational conditions during distillation, a robust steam temperature controller...
This paper presents a fuzzy logic controller (FLC) that has been implemented to control the steam temperature in steam distillation for the extraction oil. The objective of this research is to implement the ARMAX model structure and to design the typical controller using FLC to control the steam temperature as a controlled parameter. Temperature regulation is an importance factor to avoid the degradation...
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