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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...
Ball and beam control system is specially designed to study nonlinear control methodology on an unstable system. The point of the ball is hard to manage because it will move continuously on a beam, makes it becoming open-loop unstable. PID controller had been successfully applied for this application by previous researchers. However, incorporation of fuzzy in the system to facilitate PID tuning could...
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...
Floods occurrences are the most hated environmental hazard around the world. This is due to floods threaten human life and furthermore affected the economy of the involved country. In Malaysia, floods are usually due to the season monsoon and heavy rains that causing flash floods usually in urban area. Therefore, it is a must for researchers around the world to find a solution in solving this problem...
Year end usually would see many states in Malaysia would probably hits by severe floods due to Monsoon rain especially in the east coast. Many peoples suffered properties damages and economic losses. Thus, an accurate flood water level prediction model is required as an alarm system that would warn the affected area and residence to prepare for evacuation due to the upcoming severe flood. This paper...
Flood prediction modelling is one of the most popular research areas among researcher around the world. This is due to negative impacts to the economy and society that were caused by flood. The dynamic behaviours of river water level that causing flood were commonly modelled by researcher either by equations using physic theories or by black-box model. River water level prediction model that could...
Nowadays flood water level predictions have become one of the most popular subject matter among researcher because this natural disaster damages people's life and property. In addition, flood is also one of the natural disasters that occur frequently around the world. However, since the dynamic of the flood itself is highly nonlinear, it is a very difficult task to predict the flood water level ahead...
In optimizing PID controller's parameters using any optimization algorithm, fitness function is one of the important area to be explored. Among frequently used fitness function is a weighted transient response index (WTRI) where the weight is given to each of the transient response component including rise time, settling time, overshoot and steady state error based on their priority set in specification...
The implementation of PSO algorithm in optimizing PID controller's parameters has been in active research area recently. One of the popular plant to be controlled using this control strategy is a DC motor and various types of DC motors with variations in parameters value have been used in this research area. Moment of inertia is one of the important parameters of a DC motor which can affect the output...
Predicting flood disasters are good potential research areas due to its impact to publics and economics of the affected country. With rapid economic growth and urbanization, flash floods in cities are frequent and annoying to publics. Thus, accurate and reliable prediction model of respective rivers that causing flood to highly dense populated area is needed so that the public can be warn of the possible...
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,...
Fractional-order PID (FOPID) controller has been focused lately and has become a popular controller which is an extension to the conventional PID controller. However, the controller introduced more parameters that need to be tuned. The incorporation of fuzzy rules in the tuning procedures can basically simplify the problem but it has been proven that not every parameters need to be updated recursively...
Nowadays flood water level predictions have become one of the most popular subject matter among researcher because this natural disaster damages people's life and property. In addition, flood is also one of the natural disasters that occur frequently around the world. However, since the dynamic of the flood itself is highly nonlinear, it is a very difficult task to predict the flood water level ahead...
Predicting flood disasters are good potential research areas due to its impact to publics and economics of the affected country. With rapid economic growth and urbanization, flash floods in cities are frequent and annoying to publics. Thus, accurate and reliable prediction model of respective rivers that causing flood to highly dense populated area is needed so that the public can be warn of the possible...
Flood prediction modelling is one of the most popular research areas among researcher around the world. This is due to negative impacts to the economy and society that were caused by flood. The dynamic behaviours of river water level that causing flood were commonly modelled by researcher either by equations using physic theories or by black-box model. River water level prediction model that could...
In recent years, PSO algorithm has been one of the popular soft computing technique and increasingly used in optimizing the parameters of PID controller. However, before PSO or any optimization algorithm in general can be successfully used to solve optimization problems, the validation of their functionality must be done earlier. This paper proposed the functionality validation of PSO algorithm which...
Strata Title Survey is a method of measurement in Cadastral Surveying. This measurement involve with buildings which has more than four floors such as industrial building, hotel and residential. The importance of Strata Title Survey is to make sure each parcel have its own lot and any maintenance and development are under control with the support of Strata Plan. The purpose of this study is to determine...
Flood is an overflowing of a large amount of water beyond its normal confines, especially over what is normally called dry land. Therefore, flood prediction system is crucial in order to notify the public about the incoming flood and an important task to achieve. The flood prediction may be very useful especially in the east cost of Malaysia. Artificial Neural Network (ANN) is well-known as an effective...
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...
Flood is defined as an overflow of large amount of water beyond its normal limits. Therefore, it has become threat to people's life and can cause damages to properties. However, in Malaysia, the only existing flood warning system are the alarming system which only notify residents nearby flood location to evacuate only when flood occur. Thus, flood water level prediction is very much needed in order...
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