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An Exact Model for Rotor Field-Oriented Control of Single-Phase Induction Motors Mohammad Jannati; Ali Monadi; Sajad A. Anbaran; Nik Rumzi Nik Idris; Mohd Junaidi Abdul Aziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5110-5120

Abstract

This work presents a new Rotor Field-Oriented Control (RFOC) technique for single-phase Induction Motors (IMs). The proposed method uses two rotational transformations, which extract from the steady-state equivalent circuit of single-phase IM. It is proved by using proposed rotational transformations, the single-phase IM asymmetrical equations change into symmetrical equations. In the proposed technique, the assumption of (Mq/Md)2=Lqs/Lds=a2 which is usually used in other FOC of single-phase IMs, is not considered. Performance of the proposed technique is assessed using MATLAB/SIMULINK. Extensive simulation results show the performance and correctness of the proposed method.
Performance numerical evaluation of modified single-ended primary-inductor converter for photovoltaic systems Tole Sutikno; Rizky Ajie Aprilianto; Nik Rumzi Nik Idris; Ahmad Saudi Samosir
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i4.pp3720-3732

Abstract

Single-ended primary-inductor converter (SEPIC) was considered a good alternative to a DC-DC converter for photovoltaic (PV) systems. The SEPIC converter can operate with an input voltage greater or less than the regulated output voltage, or as a step-up or step-down. As a step-up converter, SEPIC boosts PV voltage to specific levels. However, gain limitation and voltage stress continue to reduce the efficiency of conventional SEPIC converters. Because of this, researchers created a modified SEPIC converter to improve performance. In this paper, six modified SEPIC converters were compared and evaluated. To compare fairly, all modified SEPIC converters are non-isolated and use a single switch. Power simulator (PSIM) software was used to simulate each converter with a BISOL BMO-250 PV module and maximum power point tracking (MPPT) P&O controller. The converter with the highest static voltage gain and lowest duty cycle has been identified. It results in up to ten times voltage increment with a 0.8-duty ratio. All topologies have the same voltage stress, with maximum and minimum values of 30.1 and 29.5 V, respectively. On the other hand, each topology produces different average efficiencies, with the highest and lowest efficiency at 99.5% and 97.2%, respectively.
Implementation of finite control set-predictive torque control based on the dSpace DS1104 controller Rozana Alik; Nik Rumzi Nik Idris; Norjulia Mohamad Nordin; Tole Sutikno
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i1.pp155-167

Abstract

Finite control set-predictive torque control (FCS-PTC) has emerged as a popular control method for induction motors (IMs) over the past decade. This paper provides a detailed hardware implementation of FCS-PTC with a constant weighting factor (WF) on 186 W of IM. The FCS-PTC is implemented using the DS1104 controller board programmed using C code. A comprehensive analysis of flux, torque, and the total harmonic distortion (THD) of the stator current is conducted and presented to establish a relationship between the WF and drive performance. The experimental results indicate that a higher WF results in improved performance in flux and THD current, but a poorer torque response. Conversely, a lower WF improves torque performance but sacrifices the flux and THD current. The analysis outcome will hopefully provide some guidelines for developing the WF selection techniques.
State of charge prediction for new and second-life lithium-ion batteries based on the random forest machine learning technique Masoud A. Sahhouk; Mohd Junaidi Abdul Aziz; Mohd Ibthisham Ardani; Nik Rumzi Nik Idris; Tole Sutikno; Bashar Mohammad Othman
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i1.pp487-501

Abstract

Accurate state of charge (SOC) estimation is a critical requirement for the safe and efficient operation of lithium-ion batteries (LIBs), particularly in second-life battery (SLB) applications where battery ageing, nonlinear degradation, and measurement noise introduce uncertainty. Although numerous SOC estimation techniques have been proposed, reliable prediction for new and second-life batteries under varied operating conditions remains challenging. In this study, a comparative investigation of the conventional coulomb counting (CC) method and a data-driven random forest (RF) model is conducted for SOC prediction in new and second-life LIBs. Experimental data are obtained from Murata US18650VTC5D cells under pulse discharge tests (PDT), constant discharge tests (CDT), and dynamic stress tests (DST) across a wide range of C-rates. PDT is conducted at 0.24 C, CDT at 0.2 C, 0.5 C, 1 C, and 2 C, while DST is performed at C-rates ranging from 0.5 C to 4 C at a controlled ambient temperature of 25 °C. The RF model is trained using voltage, current, and time features and evaluated against CC using MAE, MSE, RMSE, and R² metrics. Results show that RF consistently outperforms CC under all conditions, particularly for SLBs, achieving significantly lower errors and R² values approaching 0.998. These findings confirm the effectiveness of RF-based SOC estimation for intelligent battery management systems (BMS).
A novel adaptive constant power optimal efficiency control strategy for bidirectional DS-LCC wireless charger Jiabo Yan; Mohd Junaidi Abdul Aziz; Nik Rumzi Nik Idris; Mohammad Al Takrouri; Tole Sutikno
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i1.pp653-662

Abstract

This paper presents a novel adaptive constant power optimal efficiency control (ACPOEC) strategy that enables efficient constant power (CP) charging in a double-sided inductor-capacitor-capacitor (DS-LCC) wireless charger. The proposed control strategy is built upon triple-phase-shift (TPS) modulation and employs a pre-computed lookup table derived from offline optimization to achieve CP charging with corresponding optimal efficiency. The CP charger with the proposed strategy can eliminate switch-controlled capacitors (SCCs) in the topology. The proposed strategy is validated through simulation studies, achieving an efficiency range of 90.72% to 92.46%, which is also competitive with other advanced CP wireless charging systems. Compared with existing state-of-the-art CP wireless charging techniques, the wireless CP charger with the proposed ACPOEC strategy features a simplified topology, bidirectional power transfer capability, and competitive efficiency performance.
Adaptive internal model control-proportional integral for robust control of three-phase active front-end rectifiers Azizah Abdul Razak; Norjulia Mohamad Nordin; Razman Ayop; Hazlina Selamat; Abobaker Kikki Abobaker; Nik Rumzi Nik Idris; Tole Sutikno
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i3.pp1794-1807

Abstract

Three-phase active front-end (AFE) rectifiers are widely deployed in motor drives, electric vehicle chargers, and grid-connected renewable energy systems, where precise DC-link voltage regulation is essential for stable converter operation. In practice, DC-link capacitance degrades over time, and load profiles vary dynamically, both degrading the DC-link voltage regulation performance. Conventional proportional-integral (PI) outer voltage controllers are designed based on nominal operating conditions, with limited stability margins resulting in sluggish or oscillatory DC-link voltage responses under significant load and parameter variations. This paper proposes an adaptive internal model control-proportional integral (AIMC-PI) outer voltage loop controller for a three-phase AFE rectifier. It extends the conventional IMC-PI structure by incorporating an active damping term, an internal feedforward gain, a reference filter, and a Lyapunov-based adaptation law that updates the embedded plant model and IMC filter time constant online ensuring closed-loop stability and bounded tracking error. Simulation results show that AIMC-PI achieves a faster dynamic response than PI and performance comparable to IMC-PI and linear active disturbance rejection control (LADRC) under nominal conditions. As DC-link capacitance degrades to 0.5C, AIMC-PI maintains a well-damped DC-link voltage, whereas LADRC exhibits noticeable oscillations. Experimentally, AIMC-PI successfully eliminates the AC-supply current and DC-link voltage ripples present in fixed-λ IMC-PI.