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PID-based temperature control device for electric kettle Mohd Badril Nor Shah; Norfahaniza Zailany; Amar Faiz Zainal Abidin; Mohd Firdaus Halim; Khalil Azha Annuar; Arman Hadi Azahar; Muhamad Haniff Harun; Muhammad Faizal Yaakub
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

A normal electric kettle usually is intended to boil water until boiling point and cannot be controlled. Most of the kettle does not provide the temperature display for user to track the current temperature reading. Thus, this project is inspired from the shortcoming of most kettles that are sold at the market. By using Arduino microcontroller, a device is developed to control water temperature inside electric kettle. To provide automated temperature control, PID controller is chosen since it can provides precise water temperature control with less fluctuation. The device is also equipped with the display of the current water temperature and desired temperature. The device is tested to an electric kettle and the performance of PID controller in controlling water temperature is compared to on-off controller. An analysis is performed based on the amount of fluctuation with respect to desired temperature to verify the efficacy of the designed circuit and controller. It is found that the developed device and PID controller are capable to control the water temperature inside kettle based on the desired temperature set by user with less amount of fluctuation

Development of an automatic can crusher using programmable logic controller N. A. A. Hadi; Lim Hui Yee; K. A. M. Annuar; Zulhilmi Bin Zaid; Z. A Ghani; M.F. Mohd Ab Halim; Amar Faiz Zainal Abidin; M. B. N. Shah
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

The invention of a can crusher machine in this project is to reduce the wasted storage space occupied by the tremendous amount of use aluminium can at the commercial establishment like in the restaurant, cafeteria and bar. Basically, can crusher machine be operated in manual effort and time in the can crushing process. Shrinking the initial volume of empty used-aluminium cans down to 50% in more effective, faster and effortless way, as well as to develop a low-cost device that is suitable for the small-industry usage are mainly the objectives for the Automatic Can Crusher, where an automated process is executed in Automatic Can Crusher due to the automation in the modern world is inevitable and nominal to be used. The Automatic Can Crusher is run by a Programmable Logic Controller (PLC) with the aid of an inductive and capacitive sensor, where it is applied to detect whether the object is metal or non-metal. Overall, the system can be controlled manually through the push start and stop button as well as using the Human Machine Interface (HMI) using NB-Designer, for displaying the total of cans being crushed per day. The average result of empty can could shrink from 31% to 60 % of the original value, by using the attuned and compatible pressure for this system.

A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process Teh Muy Shin; Asrul Adam; Amar Faiz Zainal Abidin
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

The selection of parameters in grinding process remains as a crucial role to guarantee that the machined product quality is at the minimum production cost and maximum production rate. Therefore, it is required to utilize more advance and effective optimization methods to obtain the optimum parameters and resulting an improvement on the grinding performance. In this paper, three optimization algorithms which are particle swarm optimization (PSO), gravitational search, and Sine Cosine algorithms are employed to optimize the grinding process parameters that may either reduce the cost, increase the productivity or obtain the finest surface finish and resulting a higher grinding process performance. The efficiency of the three algorithms are evaluated and comparedwith previous results obtained by other optimization methods on similar studies.The experimental results showed that PSO algorithm achieves better optimization performance in the aspect of convergence rate and accuracy of best solution.Whereas in the comparison of results of previous researchers, the obtained result of PSO proves that it is efficient in solving the complicated mathematical model of surface grinding process with different conditions.

A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process Teh Muy Shin; Asrul Adam; Amar Faiz Zainal Abidin
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

The selection of parameters in grinding process remains as a crucial role to guarantee that the machined product quality is at the minimum production cost and maximum production rate. Therefore, it is required to utilize more advance and effective optimization methods to obtain the optimum parameters and resulting an improvement on the grinding performance. In this paper, three optimization algorithms which are particle swarm optimization (PSO), gravitational search, and Sine Cosine algorithms are employed to optimize the grinding process parameters that may either reduce the cost, increase the productivity or obtain the finest surface finish and resulting a higher grinding process performance. The efficiency of the three algorithms are evaluated and comparedwith previous results obtained by other optimization methods on similar studies.The experimental results showed that PSO algorithm achieves better optimization performance in the aspect of convergence rate and accuracy of best solution.Whereas in the comparison of results of previous researchers, the obtained result of PSO proves that it is efficient in solving the complicated mathematical model of surface grinding process with different conditions.

A comparative study of PSO, GSA and SCA in parameters optimization of surface grinding process Teh Muy Shin; Asrul Adam; Amar Faiz Zainal Abidin
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

The selection of parameters in grinding process remains as a crucial role to guarantee that the machined product quality is at the minimum production cost and maximum production rate. Therefore, it is required to utilize more advance and effective optimization methods to obtain the optimum parameters and resulting an improvement on the grinding performance. In this paper, three optimization algorithms which are particle swarm optimization (PSO), gravitational search, and Sine Cosine algorithms are employed to optimize the grinding process parameters that may either reduce the cost, increase the productivity or obtain the finest surface finish and resulting a higher grinding process performance. The efficiency of the three algorithms are evaluated and comparedwith previous results obtained by other optimization methods on similar studies.The experimental results showed that PSO algorithm achieves better optimization performance in the aspect of convergence rate and accuracy of best solution.Whereas in the comparison of results of previous researchers, the obtained result of PSO proves that it is efficient in solving the complicated mathematical model of surface grinding process with different conditions.

Real time robustness test evaluation performance for intelligent fuzzy controller in extraction process Z. M. Zakiah Mohd Yusoff; Nur Dalila Khirul Ashar; Zuraida Muhammad; Amar Faiz Zainal Abidin; Noor Fadzilah Razali; Shakira Azeehan Azli; A.M. MaArkom; Khairul Kamarudin Bin Hasan
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1290-1296

This paper presents the real time robustness test using intelligent fuzzy based controller in extraction process of essential oil is discussed in this study. Previous finding shows that the quality of the essential oil is affected by the steam temperature that acts as the control variable in this study. The robustness test is applied to the system during running process to show the system is robust to any operation conditions t make sure the controller is able to give a smooth control output response. The dynamic performance of the system are represented by applying standard performance criteria such as rise time Tr, settling time Ts, overshoot %OS, root mean square error (RMSE) and time on recovering load disturbance. Generally, the objectives in designing the controllers have been achieved because all intelligent fuzzy based controllers capable to regulate the desired set point by acting on the change in the output compared with the set point.

Liquid slosh control by implementing model-free PID controller with derivative filter based on PSO Mohd Zaidi Mohd Tumari; Amar Faiz Zainal Abidin; A Shamsul Rahimi A Subki; Ab Wafi Ab Aziz; Muhammad Salihin Saealal; Mohd Ashraf Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp750-758

Conventionally, the control of liquid slosh system is done based on model-based techniques that challenging to implement practically because of the chaotic motion of fluid in the container. The aim of this article is to develop the tuning technique for model-free PID with derivative filter (PIDF) parameters for liquid slosh suppression system based on particle swarm optimization (PSO). PSO algorithm is responsible to find the optimal values for PIDF parameters based on fitness functions which are Sum Squared Error (SSE) and Sum Absolute Error (SAE) of the cart position and liquid slosh angle response. The modelling of liquid slosh in lateral movement is considered to justify the design of control scheme. The PSO tuning method is compared by heuristic tuning method in order to show the effectiveness of the proposed tuning approach. The performance evaluations of the proposed tuning method are based on the ability of the tank to follow the input in horizontal motion and liquid slosh level reduction in time domain. Based on the simulation results, the suggested tuning method is capable to reduce the liquid slosh level in the same time produces fast input tracking of the tank without precisely model the chaotic motion of the fluid.

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