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Sy Yi Sim

Researcher at Universiti Tun Hussein Onn Malaysia

Publications -  46
Citations -  136

Sy Yi Sim is an academic researcher from Universiti Tun Hussein Onn Malaysia. The author has contributed to research in topics: Vector control & Control theory. The author has an hindex of 5, co-authored 41 publications receiving 103 citations.

Papers
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Proceedings ArticleDOI

An Effective Dual Closed-Loop Scheme Based on Lead Compensator and Proportional Controller for Quasi Z-Source Inverter

TL;DR: This paper proposed a single-phase qZSI with lead compensator in the control system driven by unipolar carrier based pulse width modulation (CB-PWM) technique that demonstrates its superiority for theqZSI to achieve good dynamic, steady-state, and transient performances under both the continuous conduction mode (CCM) and discontinuous conduction modes (DCM) operations.
Journal ArticleDOI

Predictive Direct Power Control (PDPC) of Grid-connected Dual-active Bridge Multilevel Inverter (DABMI)

TL;DR: In this article, a grid-connected dual-active bridge multilevel inverter for renewable energy integration is presented, where the concept of direct power control is integrated with model predictive control algorithm, which is termed as Predictive Direct Power Control, to control the real and reactive power injected into the power grid.
Journal ArticleDOI

Speed Tracking of Indirect Field Oriented Control Induction Motor Using Neural Network

TL;DR: In this paper, a neural network-based indirect field oriented control (NNIFOC) of induction motor (IM) drive is presented. And the simulation results show that the proposed NNIFOC schemes of IM drive is more effective and found a proper replacement of the proportional integral derivative (PID) controller.
Journal ArticleDOI

Fault Location Techniques in Electrical Power System-A Review

TL;DR: The type of fault that possibly occurs in an electric power system, thetype of fault detection and location technique that are available together with the protection device that can be utilized in the power system to protect the equipment from electric fault are reviewed.

An improved DTC of an induction motor drive with neural network controller

TL;DR: In this paper, a neural network controller is proposed to replace the conventional PID controllers to improve the drive's performance since the performance of an electric drive really depends on the quality of a speed controller.