Sy Yi Sim

Tun Hussein Onn University of Malaysia

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Sie Long Kek

Tun Hussein Onn University of Malaysia

Wahyu Mulyo Utomo

Tun Hussein Onn University of Malaysia

Azuwien Aida Bohari

Tun Hussein Onn University of Malaysia

Roslina Mat Ariff

Tun Hussein Onn University of Malaysia

Hui Hwang Goh

Guangxi University

Kai Chen Goh

Tun Hussein Onn University of Malaysia

Chin Wan Ling

Tun Hussein Onn University of Malaysia

Zainal Alam Haron

Tun Hussein Onn University of Malaysia

Qing Shi Chua

Tun Hussein Onn University of Malaysia

Wah June Leong

Universiti Putra Malaysia

Cooperative Institutions

Tun Hussein Onn University of Malaysia

Curtin University Sarawak

Curtin University

University of Technology Malaysia

Universiti Teknologi Brunei

University of Southampton Malaysia

Universiti Malaysia Sarawak

Universiti Teknologi MARA

Guangxi University

Xiamen University

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Testing of linear models for optimal control of second-order dynamical system based on model-reality differences

Results in Control and Optimization (2021)

Sie Long Kek Sy Yi Sim Chuei Yee Chen

In this paper, the testing of linear models with different parameter values is conducted for solving the optimal control problem of a second-order dynamical system. The purpose of this testing is to provide the solution with the same structure but different parameter values in the model used. For doing so, the adjusted parameters are added to each model in order to measure the differences between the model used and the plant dynamics. On this basis, an expanded optimal control problem, which combines system optimization and parameter estimation, is introduced. Then, the Hamiltonian function is defined and a set of the necessary conditions is derived. Consequently, a modified model-based optimal control problem has resulted. Follow from this, an equivalent optimization problem without constraints is formulated. During the calculation procedure, the conjugate gradient algorithm is employed to solve the optimization problem, in turn, to update the adjusted parameters repeatedly for obtaining the optimal solution of the model used. Within a given tolerance, the iterative solution of the model used approximates the correct optimal solution of the original linear optimal control problem despite model-reality differences. The results obtained show the applicability of models with the same structures and different parameter values for solving the original linear optimal control problem. In conclusion, the efficiency of the approach proposed is highly verified.

Basis (linear algebra)

10.1016/j.rico.2021.100022

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Loss Of Excitation (LOE) Protection of Synchronous Generator

Indonesian Journal of Electrical Engineering and Computer Science (2017)

Hui Hwang Goh Sy Yi Sim M. N. A. Samat Ahmad Mohamed Chin Wan Ling

Synchronous generators require certain protection against loss of excitation because it can lead to harmful effect to a generator and main grid. Systems of powers are evolving with applications of new techniques to increase reliability and security, at the meantime techniques upgradation is being existed to save financial cost of a different component of power system, which affect protection ways this report discuss the way of loss of excitation protection scheme for an increase in a synchronous generator. It is obvious that when direct axis synchronous reactance has a high value, the coordination among loss of excitation protection and excitation control is not effective. This lead to restricting absorption capability of the reactive power generator. This report also reviews the suitable philosophy for setting the limiters of excitation and discusses its effect on loss of excitation protection and system performance. A protection scheme is developed to allow for utilization of machine capability and power swing blocking is developed to increase the reliability when power swing is stable.

Reactance

Limiter

10.11591/ijeecs.v8.i1.pp230-236

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Citations (2)

Speed Tracking for IFOC Induction Motor Speed Control Using Hybrid Sensorless Speed Estimator Based on Flux Error for Electric Vehicles Application

Machines (2022)

Muhamad Syazmie Sepeeh Shamsul Aizam Zulkifli Sy Yi Sim Huang‐Jen Chiu Mohd Zamri Che Wanik

This paper presents hybrid sensorless speed tracking by an indirect field-oriented control (IFOC) for an induction motor (IM). The sensorless model is based on an improved virtual estimation topology model to predict the virtual speed and flux of the IM using stator current components. The hybrid sensorless model, defined as a modification of voltage with a rotor flux-oriented current model, was also implemented with proportional-integral (PI) control for comparison with the conventional voltage model (CVM). The suggested adaptive mechanism for PI control in the hybrid estimator was able to compensate for the back-EMF error from the rotor flux-oriented current model into the voltage model and change the air gap flux of the IM. An accurate rotor flux position was estimated and used to estimate the speed with low speed error. This IFOC model, with various speed change references, was tested in a simulation environment by using the MATLAB/Simulink program. The proposed hybrid estimator was tested in two different EV operations, which were reverse and forward operations. The effectiveness of the proposed estimator was analyzed for its transient and steady-state performances based on settling time, recovery time and the overshoot and speed error percentages. All the results were in good agreement in terms of the stability of the speed and current controller with minimum speed error obtained, where the average errors were 0.08% and 0.16% for high speed and lower speed, respectively.

Overshoot (microwave communication)

Electronic speed control

Settling time

10.3390/machines10111089

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Citations (2)

Online adaptive flux control for space vector PWM-DTC IM drives towards optimum efficiency design

Wahyu Mulyo Utomo Sy Yi Sim Zainal Alam Haron Nooradzianie Muhammad Zin

An improved Direct Torque Controlled (DTC) Induction Motor (IM) is reported in this paper with the aims to produce an adaptive flux controller design to realize the maximum efficiency in DTC IM drives. The value of reference flux is identified through the artificial intelligent neural network (ANN) algorithm with the input power as the objective function. The description of neural network control system as well as the training procedure is explained in this paper. Consequently, the proposed efficient optimizing controller yields an adaptive reference flux, which ensures a minimum input power that leading to the maximum efficiency of the drives systems is achieved. The proposed schemes have been developed and the performance of the IM Drive under different operating condition has been investigated through simulation and experimentally by using the Simulink/Matlab and digital signal processor of dSPACE. The promising results validate the effectiveness.

DSPACE

Digital Control

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Development of Automobile Wheel Smart Alignment Monitoring System

PaperAsia (2024)

Azuwien Aida Bohari Muhamad Faris Haikal Mohhammad Hafiz Sy Yi Sim Norezmi Jamal Mohd Nizam Mohd Talib

This study addresses the pressing issue of ineffective traditional methods for monitoring wheel alignment in vehicles. The motivation stems from the limitations of manual inspection and the need for a more efficient and accurate solution. The aim is to develop a Smart Alignment Monitoring System that can provide real-time monitoring of alignment parameters. The objective is to enhance vehicle safety and performance by detecting misalignment issues early. The proposed solution involves the use of advanced sensor technologies integrated with vehicles' tire position. The results demonstrate the effectiveness of the Smart Alignment Monitoring System in reducing maintenance costs, improving fuel efficiency, and enhancing vehicle safety and performance. This study highlights the significance of adopting advanced technologies like Smart Alignment Monitoring Systems in the automotive industry to ensure safer and more efficient vehicles.

SAFER

Safety Monitoring

10.59953/paperasia.v40i5b.205

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New Speed Sensorless ANN-IFOC Flux Hybrid Estimator Controller for Induction Motor

Muhamad Syazmie Sepeeh Shamsul Aizam Zulkifli Sy Yi Sim Huang‐Jen Chiu Siti Amely Jumaat

This paper is to suggest a new version of sensorless control for induction motor using flux estimator generation to represent the speed input for speed control. The induction motor that been used is been presented as small EV motor in order to replicate a motor EV. This flux-speed hybrid controller is used with ANN-IFOC to replace the actual speed sensor in order to increase the tracking speed and trajectory effect while reduce the cost operation based on flux estimation speed equation. The flux parameter is been selected because any changes on the load the flux will automatically change simultaneously that is good to be applied to the EV motor. The speed controller is still needed in after the speed signal has been generate at ANN-IFOC for flux parameter but without speed sensor. At the end, all the results show, this new sensorless improved version has better time response to track the speed reference even though the load is changes.

Electronic speed control

10.1109/ieacon55029.2022.9951725

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Conjugate Gradient Approach for Linear Optimal Control of Damped Harmonic Oscillator

Proceedings of the International Conference of Control, Dynamic systems, and Robotics (2019)

Sie Long Kek Wah June Leong Sy Yi Sim Chuei Yee Chan

In this paper, applying the conjugate gradient method to solve the linear optimal control problem is discussed.In the optimization theory, the conjugate gradient method is an efficient computational approach for solving the unconstrained optimization problem, specifically, for quadratic case.Since the linear optimal control problem consists of the quadratic cost function and the linear dynamical system, the practical application of the conjugate gradient method to this kind of problem would be addressed.In our study, the necessary conditions for optimality for the linear optimal control problem are highlighted.Then, the equivalent optimization problem is formulated and the gradient function, which is given by the stationary condition, is evaluated.On this basis, the search direction, which satisfies the conjugacy, is determined definitely.During the iterative procedure, the control sequence is calculated such that the state sequence could be obtained.Once the convergence is achieved, the optimal solution of the linear optimal control problem is obtained.For illustration, the optimal control of damped harmonic oscillator is discussed.The results obtained show the efficiency of the approach used.In conclusion, the application of the conjugate gradient method to linear optimal control problem of the damped harmonic oscillator is highly presented.

Conjugate

Harmonic

Harmonic Analysis

10.11159/cdsr19.130

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IOT BASED SMART IRRIGATION CONTROL AND MONITORING SYSTEM

Omar Abu Hassan Shamsul Aizam Zulkifli Rasida Norjali Sy Yi Sim Hong Yin Lam

The Internet of things (IoT) has been rapidly developed and applied to various sector including automotive, manufacture, industrial, and many more. IoT also refers to connecting to another device through a network without any interactions from the human. In this project, the idea is to design and develop an irrigation system that can be control and monitor by using a mobile phone. The purpose of making this system is to automatically trigger the relay and turn on the water pump once the moisture level of the soil is low. The system will stop after reaching the desired level. The main component of the system is Node MCU. With a set of coding constructed in Arduino, the water pump can be controlled and the level of moisture can be monitored through the Blynk application (apps) in a remote area.

Arduino

Mobile phone

Soil moisture sensor

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Modifying Quasi Z-Source Network for an Innovative Extendable Switched-Capacitor Boost Multilevel Inverter Topology

Yew Wei Sia Kah Haw Law Garenth King Hann Lim Sy Yi Sim Kenneth Siok Kiam Yeo

Switched capacitor

10.1109/gecost60902.2024.10474921

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Optimal control of a coupled tanks system with model-reality differences

AIP conference proceedings (2017)

Sy Yi Sim Sie Long Kek Kim Gaik Tay

In this paper, an efficient computational approach is proposed to optimize and control a coupled tanks system. Since the dynamics of the coupled tanks system is nonlinear, determination of the optimal water level in the tanks could be formulated as an optimal control problem for a useful operation decision. For simplicity, the linear model of the coupled tanks system is suggested to give the true operating height of the coupled tanks. In our approach, the adjustable parameter is added into the model used. The aim is to measure the differences between the real plant and the model used repeatedly during the computation procedure. In this way, the optimal solution of the model used can be updated iteratively. On this basis, system optimization and parameter estimation are integrated. At the end of the iteration procedure, the converged solution approximates to the correct optimal solution of the original optimal control problem, in spite of model-reality differences. For illustration, the numerical parameters of a coupled tank system are studied and the applicable of the approach proposed is shown. In conclusion, the efficiency of the approach proposed in achieving the desired water level of the coupled tanks is highly presented.

Basis (linear algebra)

Water tanks

10.1063/1.4996669

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Citations (5)