Afarulrazi Abu Bakar

Online Learning Neural Network Control of Buck-Boost Converter

This paper proposes a neural network control scheme of a DC-DC buck-boost converter using online learning method. In this technique, a back propagation algorithm is derived. The controller is designed to stabilize the output voltage of the DC-DC converter and to improve performance of the Buck-Boost converter during transient operations. Furthermore, to investigate the effectiveness of the proposed controller, some operations such as starting-up and reference voltage variations are verified. The numerical simulation results show that the proposed controller has a better performance compare to the conventional PI-Controller method.

Investigation of field excitation switched flux motor with segmental rotor

In this paper a three-phase field excitation switched flux (FESF) motor where both armature coil and field excitation (FE) coil placed on the stator is investigated. The rotor is design with separately segmental pole so that flux generated from FE Coil can be fundamentally placed in adjacent with flux of armature coil. Thus, the coil end length of both FE Coil and armature coil are reduced, hence increasing the motor efficiency when compared with FESF motor with single piece rotor, and overlapped FE Coil and armature coil windings. In this paper design investigation and analysis of 12S-8P and 24S-10P FESF motor with segmental rotor are investigated. Moreover, coil test analysis, FE Coil flux characteristics, flux interaction between FE Coil and armature coil, flux distribution, and torque characteristics are also compared. As conclusion, the 24S-10P FESF motor with segmental rotor gives much higher performance when compared with 12S-8P FESF motor.

Control of power generated from linear generator

This paper explains the power generation profile of the linear generator by controlling the 3-phase rectifier as a control converter when it is attached to the linear generator. Normally, the linear generator without control converter will produce decreasing power profile when the time is increased. By controlling the converter, the power profile can be changed to more suitable profile which is applicable for the load. In order to change this power profile at the linear generator, the controller that can operate in the robust condition will be used due to the disturbances inputs of the linear generator. Here, the H∞ control theory will be implemented in order to change the output power profile of the linear generator.