Ungku Anisa Ungku Amirulddin

Analysis of Programme Outcomes achievement for Electrical Engineering programmes in UNITEN

In Outcome-Based Education approach, Programme Outcomes (PO) is a series of technical and non-technical skills that a graduate from an institution should acquire prior to graduation. The qualities in the PO are usually closely related to the training that the student has gone through. The attainment of PO must be tracked at every semester and corrective actions must be implemented if the attainment does not meet the performance criterion that has been set. This implies a need for a continuous quality improvement (CQI) process for PO attainment. This paper presents the analysis of PO achievement based on students achievement in formal assessments for core subjects in the Bachelor of Electrical Power Engineering (BEPE) and Bachelor of Electrical and Electronics Engineering (BEEE) programmes in UNITEN for four semesters from Semester 1, 2007/2008 to Semester 2, 2008/2009. In general, all POs are attained by both programmes. However, it was observed that with the current performance criteria a decline in soft skills PO achievement was observed. Hence, a new PO attainment strategy was devised and a new performance criterion has been set. This paper aims to highlight the CQI processes in place to analyze the BEPE and BEEE Programme Outcomes attainment.

Design and development of a new electromagnetic prime mover solenoid powered engine preliminary design

The applications of electromagnetic prime mover devices are becoming more extensive as future technological developments are moving towards sustainable environment. From various types of electromagnetic prime mover devices, the most commonly used device is electric motor. However, this device has some major issues such as complex maintenance processes after catastrophic failure, complex/expensive controllers, and declining performance from the dependency of limited raw materials i.e. permanent magnets. These problems are mostly associated with the convenience in operation and certain problems are only applicable to certain types of electric motor. Due to these issues, the authors have developed a new electromagnetic prime mover design to replace the existing electric motor. This new prime mover is designed based on the solenoid concept and the internal combustion engine working mechanisms. In this paper, the authors are introducing a new electromagnetic prime mover design known as Solenoid Powered Engine (SPE). The paper describes the SPE conceptual design, mechanical components and combined electrical/electronic components.

An ELM Based Multi Agent Systems Using Certified Belief in Strength

A trust measurement method called certified belief in strength (CBS) for Extreme Learning Machine (ELM) Multi Agent Systems (MAS) is proposed in this paper. The CBS method is used to improve the performance of the individual agents of the MAS, i.e., ELM neural network. Then, trust measurement is achieved based on reputation and strength of the individual agents. In addition, trust is assemble from strong elements that are associated with the CBS which let the ELM to improve the performance of the MAS. The efficiency of the ELM-MAS-CBS model is verified with several activation function using benchmark datasets which are Pima Indians Diabetes (PID), Iris and Wine. The results show that the proposed ELM-MAS-CBS model is able to achieve better accuracy as compared with other approaches.

Design and development of a new electromagnetic prime mover using solenoid technology Solenoid Powered Engine mathematical derivations (inductance variation)

The Solenoid Powered Engine (SPE) is one of the feasible alternative prime movers to replace the existing electric motors. From the machines design and operational perspective, this particular prime mover design holds a few advantages over the existing electric motor designs. However, SPE development is still in its infant stages and future studies and improvements are required to further refine the SPE wide potential. Therefore, the authors have developed a few equivalent circuits for the machine and applied mathematical derivation models to identify the machines terminal characteristic. The equivalent circuits are based on a transformer model, which is later refined into a simple and yet easier to analyse model. As a result, the authors have managed to introduce new equations to define the SPE terminal characteristic, which is similar to a DC series motor. This paper basically describes the SPE equivalent circuit, terminal characteristic and multiple solenoids implication.

A Quantum Lightning Search Algorithm-Based Fuzzy Speed Controller for Induction Motor Drive

This paper presents a quantum lightning search algorithm (QLSA) -based optimization technique for controlling speed of the induction motor (IM) drive. The developed QLSA is implemented in fuzzy logic controller to generate suitable input and output fuzzy membership function for IM drive speed controller. The main objective of this paper is to develop QLSA-based fuzzy (QLSAF) speed controller to minimise the mean absolute error in order to improve the performance of the IM drive with changes in speed and mechanical load. The QLSAF-based speed controller is implemented in simulation model in the MATLAB/Simulink environment and the prototype is fabricated and experimentally tested in a fully integrated DSP for controlling the IM drive system. The experimental results of the developed QLSAF speed controller are compared with the simulation results under different performance conditions. Several experimental results show that there are good agreement of the controller parameters, SVPWM signals, and different types of speed responses and stator currents with the simulation results, which are verified and validated the performance of the proposed QLSAF speed controller. Also, the proposed QLSAF speed controller outperforms other studies with settling time in simulation and in experimental implementation, which validates the controller performance as well.

Quantum-behaved lightning search algorithm to improve indirect field-oriented fuzzy-PI control for IM drive

The main objective of this study is to develop a quantum-behaved lightening search algorithm (QLSA) to improve the indirect field-oriented fuzzy-proportional-integral (PI) controller technique to control a three-phase induction motor (TIM) drive. The generated adaptive PI current control parameters and fuzzy membership functions are carried to design induction motor drive speed controller to minimize the fitness function formulated by QLSA. An optimal QLSA-based indirect field-oriented control (QLSA-IFOC) fitness function is used to reduce the mean absolute error of the rotor speed to improve the performance of the TIM with varying speed and mechanical load. Results obtained from the QLSA-IFOC are compared with those obtained through lightening search algorithm, gravitational search algorithm, backtracking search algorithm, and particle swarm optimization to validate the developed controller. The optimization results of objective functions in terms of box plots and iterations show that the QLSA algorithm outperforms the other optimization algorithms. Moreover, the QLSA-IFOC controller performed well in all tests in terms of transient response. The developed controller also minimizes overshoot, increases damping capability, and reduces the root-mean-square error, as well as standard deviation under sudden change of speed and mechanical loads. A comparative analysis is performed between simulation and experimental results to justify the efficiency of the developed controller.

An ELM based multi-agent system and its applications to power generation

This paper presents an implementation of Extreme Learning Machine (ELM) in the Multi-Agent System (MAS). The proposed method is a trust measurement approach namely Certified Belief in Strength (CBS) for Extreme Learning Machine in Multi-Agent Systems (ELM-MAS-CBS). The CBS is applied on the individual agents of MAS, i.e., ELM neural network. The trust measurement is introduced to compute reputation and strength of the individual agents. Strong elements that are related to the ELM agents are assembled to form the trust management in which will be letting the CBS method to improve the performance in MAS. The efficacy of the ELM-MAS-CBS model is verified with several activation functions using benchmark datasets (i.e., Pima Indians Diabetes, Iris and Wine) and real world applications (i.e., circulating water systems and governor). The results show that the proposed ELM-MAS-CBS model is able to achieve better accuracy as compared with other approaches.

Design and development of a new electromagnetic prime mover using solenoid technology Solenoid Powered Engine model simulation (torque vs. speed characteristic)

The Solenoid Powered Engine (SPE) is one of the feasible alternative prime movers to replace the existing electric motors. From the machines design and operational perspective, this particular prime mover design holds a few advantages over the existing electric motor designs. However, SPE development is still in its infant stages and future studies and improvements are required to further refine the SPE wide potential. Therefore, the authors have developed a simulation template model to identify the machines terminal characteristic. The simulation template model is based on the machines power flow and mechanical linkages or operations. As a result, the authors managed to create a simulation model for the machine and also introduced the SPE terminal characteristic, which is similar to a DC series motor. The simulation model can be used to simulate various SPE designs for future developments. This paper basically describes the SPE simulation design, torque vs. speed characteristic and analysis.

A novel design of DC-AC electrical machine rotary converter for hybrid solar and wind energy applications

This paper proposes the design of a new bi-directional DC-AC rotary converter machine to convert a d.c. voltage to three-phase voltage and vice-versa using a two-stage energy conversion machine. The rotary converter consists of two main stages which are combined into single frame. These two stages are constructed from three main electromagnetic components. The first inner electromagnetic component represents the input stage that enables the DC power generated by solar energy from photo-voltaic cells to be transformed by the second and third components electro-magnetically to produce multi-phase voltages at the output stage. At the same time, extra kinetic energy from wind, which is sufficiently available, can be added to existing torque on the second electromagnetic component. Both of these input energies will add up to the final energy generated at the output terminals. Therefore, the machine will be able to convert solar and wind energies to the output terminals simultaneously. If the solar energy is low, the available wind energy will be able to provide energy to the output terminals and at the same time charges the batteries which are connected as backup system. At this moment, the machine behaves as wind turbine. The energy output from the machine benefits from two energy sources which are solar and wind. At night when the solar energy is not available and also the load is low, the wind energy is able to charge the batteries and at the same time provides output electrical power to the remaining the load. Therefore, the proposed system will have high usage of available renewable energy as compared to separated wind or solar systems. MATLAB codes are used to calculate the required dimensions, the magnetic and electrical circuits parameters to design of the new bi-directional rotary converter machine.

Evaluating the potential of solenoid motion system for electric vehicle - challenging the conventional usage of electric motor

Designing an electric vehicle (EV) using electric motor as its prime mover is very common. However, incorporating the electric motor to the overall EV design is relatively complex. The latest layout design of an EV requires a complex controller to govern the whole system especially the electric motors. Due to this complexity, the authors have developed an alternative electromagnetic prime mover for EV to replace the existing electric motor. This new prime mover is designed based on the solenoid concept and the internal combustion engine (ICE) working mechanisms. In this paper, the authors are introducing a new electromagnetic prime mover known as solenoid powered engine (SPE). The paper describes the SPE underlying concepts, its comparison with electric motor in EV design, overall system layout, operations and characteristics.