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The field oriented control theory and space vector pulse width modulation technique make a permanent magnet synchronous motor can achieve the performance as well as a DC motor. However, due to the nonlinearity of the permanent magnet synchronous motor drive characteristics, it is difficult to control by using conventional proportional-integral-derivative controller. By this reason in this paper an online neural network controller for the permanent magnet synchronous motor is proposed. The controller is designed to tracks variations of speed references and also during load disturbance. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-simulink program. The simulation results show that the proposed controller can reduce the overshoot, settling time and rise time. It can be concluded that the performance of the controller is improved.

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This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.

This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, TakagiSugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach. Keyword:Indirect field oriented control Induction motor Takagi-sugeno type fuzzy logic control Copyright © 2017 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Wahyu Mulyo Utomo, Department of Power Electrical, Universiti Tun Hussein Onn Malaysia, Malaysia. Email: roslinamatariff@yahoo.com INTRODUCTIONThe three-phase induction motors (IM) are very frequent used in industrial application, because of the simplicity of its implementation, higher torque-to-weight ratio, higher reliability, ruggedness and low maintenance requirements. and ability to operate in dangerous environment[1]- [3]. Because of that the performance of IM is important, in order to maintantan IM performance one of the couse is controlling part [4]. But, the coupling between torque and flux in IM unlike DC motor, their control is a challenging task. However, indirect field oriented control (IFOC) is use to decouple between torque and flux then can be controlling separately [5]- [7]. In IFOC system is using park and calack transformation equation in order to decouple flux and torque.In this context, for developing controllers for the plant the fuzzy logic concepts play a very important no need that much complicated hardware but just used some set of rules [8]. Interface system of Takagi-Sugeno (TS) type Fuzzy are characterized by use of function of their input variable as consequents and propose in 1985.TS systems is powerful practical tool for modeling and controlling of complex systems [9]. TheThis paper present performance for IM is the output speed, so Takagi-Sugeno type of fuzzy logic control is use as the speed controller to obtain batter performance. This TS approach has been extensively used to model nonlinear systems and has been successfully applied to practical problems [10]. The basic idea from fault of the speed IM, TS is use by obtain the rule then produce the change of torque comment and decrease fault of speed.

Public believed that radiation leakage from microwave ovens was similar to atomic radiation that could lead to serious health problems, including cancer. For many years up to now, domestic microwave ovens were not considered to leak levels of microwave radiation that caused concerns; consequently, they have not been regularly monitored. According to Australian Standard 3301, the maximum allowable leakage from a microwave oven is 5 mW/ cm² at 5 cm distance from the oven surface. These safety standards were based on the belief that the only danger from exposure to high intensity microwave energy is a thermal or overheating effect. Since the leakage from microwave oven becoming a new issue, this paper is proposed to investigate the effect of oven leakage, the issue of emission levels versus exposure levels and the application of power density measurements in order to measure the leakage from microwave ovens. There are six measurements have been conducted and it is found that all of the microwave ovens are having leakage. From the measurement results, only one microwave oven gives a value of 10.19 mW/cm 2 which is exceeded the limit of 5mW/cm². Due to this reason, ti is suggested to use Conductive Transparent Film to reduce the leakage from the microwave oven, since it is a relevant way in shielding to prevent unwanted leakage from the microwave oven. The result shows that the Conductive Transparent Film can reduce the microwave oven leakage by about 12.39 dB to 8.53 dB.

Electrical appliances and local switches can be controlled distantly by utilizing the Internet of Things (IoTs) communication protocols. Those devices can be accessed and operated through mobile phones. A smart college room is one of the applications in smart campus which worked by means of Wi-Fi existence for distant observing of electrical devices or switches in the particular room. Hence, this paper describes the project’s design and development based on IoTs by implementation of Arduino. The project applies Arduino MEGA 2560 board in conjunction with ATmega2560 chip. The main controller (ATmega2560) is used to connect the board with Wi-Fi module as well as to control DC motor, servo motor and LED in the project. The inputs need to be controlled in the room are lights, fan, sliding door and curtain. Since internet is the sub-core to this project, it helps the project system to acknowledge what user has decided in their mobile phones. For instance, when user wants to turn light in the room, he can simply do it by touching the respective button in the mobile phones. The project is purposely designed for preventing electricity wastage among students which usually happens in colleges. Besides, it promotes accident-free environment while operating the electrical appliances or switches in the room.

Terengganu received heavy rainfall during the Northeast monsoon which strikes between October and March thus can leads to severe floods almost every year all over the state. The floods around Dungun area of Terengganu state was due to the combination of physical factors such as elevation and its close proximity to the sea apart from heavy rainfall received during the monsoon period. A flood warning system is designed to warn and alert the owners of the vehicle about the flood immediately. The system will detect water level through an ultrasonic sensor and will automatically send a notification via IoT technology to the owner’s smartphone through the Blynk Application. A water level sensor will be set at two points which is at 0.05m and 0.09m from ground level. When the water reaches this point, it will light on LED and trigger buzzer that acts as an alarm to alert both owner and authorities. Alerting signs of water level are notified on the Blynk application that was connected through ESP8266 Wi-Fi module via IoT teechnology.