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Floods are a natural phenomenon that frequently occur in Malaysia. Flooding will cause water to become cloudy or turbid. In this situation, the supply of clean drinking water is the most affected component. Therefore, many researchers have designed a water filter system to overcome these problems. One of them is used chemical as purifying agen, or known as coaguland and flocculation process. In this...
This paper presents the performance of proportional-integral-derivative (PID) controller and Model Reference Adaptive Controller (MRAC) on regulating essential oil extraction process. The quality of essential oil will reduce if the extraction process expose to overheating of temperature. AutoRegressive with Exogenous Input (ARX) model represent as heating process plant. Heating process is important...
This paper presents the comparison of the MPC and PID control in compact hydro distillation process. Both of PID controllers and MPC undergone the performances of controller tests such as set point, set point change and load disturbances. The comparative performances of MPC and PID controllers (PIDCC and PIDZN) were evaluated and analysed based on transient responses performance and also in term of...
This paper presents on the design and development of infrared turbidity sensor for Aluminium Sulfate coagulant process. The electronic turbidity sensor operates based on the scattered light and absorption intensity with results to light scattering in solids and liquids. Natural environment is applied to this sensor to get the actual behavior of the water sample with NTU reading that is approximately...
This study discuss the design of a Fuzzy logic controller (FLC) that has carried out to control the steam temperature. The extraction temperature is considered as the most significant parameter that contributes to the amount of output yield and quality of oil. The objective of this research is to carry out the ARX model structure with the input PRBS to design and simulate the process control of steam...
Water temperature of a hydro distillation process are represented by using first order plus dead time (FOPDT) model by performing a step test. From the model obtained, a PID controller have been implemented based on several tuning method includes Ziegler-Nichols, Cohen-Coon and Integral Square Error (ISE)-Load to enhance the performance of the system. In this study, a setpoint was set to 80°C and...
As part of ongoing research for flood modeling, this paper proposes Z-score in identifying the significant rainfall stations in Kelantan River for Multi-Layer Perceptron (MLP) model development. In this work, time series data of river water level was collected with hourly time interval in year 2015. Seven rainfall stations in Kelantan River were used and applied to Z-Score. They are Gunung Gagau 1,...
This paper focuses on the design and development of a low cost nephelometric turbidity sensor for the continuity of domestic monitoring of water quality. The electronic turbidity sensor operates based on the scattered light intensity with regards to light scattering in solids and liquids. The electronic turbidity sensor used Light Emitting Diode (LED) as light transmitter, Light Dependent Resistor...
Agarwood is well known as one of the expensive woods in the world. It has a unique scent which brings it to have wide usages especially in perfumery ingredient, as incense, in traditional medical preparation, and as symbol of wealth. Due to that, this paper presents the analysis on chemical profiles of agarwood chipwood, as a part of agarwood grading system. The work involved of Solid Phase Microextraction...
Generally, overflowing and unexpected amount of water level from normal conditions, especially in areas that are usually dry it is called flood. Kelantan River was synonym with flood especially during the months of November to February because of the northeast monsoon season. Nonlinear autoregressive with exogenous input (NARX) is well-known as one of the technique that has the ability to predict...
Floods are a natural phenomenon that occur frequently. However, the flood could turn into disasters which causing widespread damage, health problems and deaths. Consequently, these phenomena affect the ecosystems and habitats. The source of drinking water is the most affected component due to floods. Many researchers have designed the methods to purify the turbidity of water. In this study, the water...
Recently, the flood modelling based on neural network has become popular among the researches due to its treat not only to human but also animals and plants. This paper presents the application of Z-Score and Feedforward Neural Network (FFNN) in identifying significant rainfall stations in Kelantan River for flood modeling especially at Kuala Krai Station. The daily rainfall and river water level...
Due to its popularity and high market demand, critical analysis on agarwood vapour chemical compounds may provide an alternative quality discrimination of agarwood oil. The proposed work involves the extraction of high quality agarwood using headspace volatile divinylbenzene-carboxen-polydimethysiloxane (DVB-CAR-PDMS) solid phase microextraction (SPME) with different sampling time at 15, 30 and 60...
Fractional-order model is a generalization of integration and differentiation of non-integer number. Due to its flexibility, it explains a dynamic system better than integer-order model does. In this study, fractional-order model is applied in model identification of electro-hydraulic actuator system and the performance is compared with integer-order model. First-order until third-order model of both...
This paper focuses on a system identification review for distillation column. A recent developments and approaches explored by reseachers demonstrated the improvement and efficiency of linear and nonlinear modeling. Numerous investigation on the modeling of distillation column including essential oil extraction application have attracted much attention. Much research in recent years has focused on...
This paper presents the design of a fuzzy fractional-order Proportional Integral plus Proportional Derivative controller in a two stage control structures where fractional-order terms were considered. Due to some weaknesses discovered in both PID and fuzzy controllers, this design was proposed. Basically, fuzzy system was implemented to tune the fractional-order of PI while fractional-order PD was...
Agarwood is well known as one of expensive and valuable woods due to its high demand in the market. As part of ongoing research in establishing agarwood oil quality grading, this paper presents Direct Thermal Desorption (DTD) in extracting commercial, high and low quality of agarwood incense. The Gas Chromatography - Flame Ionization Detection (GC-FID) and Gas Chromatography - Mass Spectroscopy (GC-MS)...
In Malaysia, east coast of peninsular is experiencing the rainy season between mid - October until March every year. Heavy seasonal rains cause the Kelantan River to overflow and flood the surroundings area. In this paper, the application of feed forward multi-layer perceptron (FFMLP) in neural networks for flood water level prediction is presented. The method focused on the neuron variation in hidden...
This paper presents the comparison between ARX model and ARMAX model using the data from steam distillation essential oil extraction (SDEOE). The work is implementing system identification approach. The aim of this research is to identify the performance of ARX and ARMAX model toward the system. The input for every model is either Pseudo Random Binary Sequence (PRBS) or Pseudo Random Sequence (PRS)...
System identification using fractional-order model gives more suitable explanation of the dynamic system properties that classical integer-order model could provide. The derivative order of fractional-order model is more flexible because it has more degree-of-freedom. In FO modeling, output error method is commonly used is because the process behavior or the system to be modeled is assumed as non-stochastic...
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