Norjulia Mohamad Nordin
Universiti Technologi Malaysia

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Comparison of control strategies for thermoelectric generator emulator Ayop, Razman; Tan, Chee Wei; Ayob, Shahrin Md; Daud, Mohd Zaki; Jamian, Jasrul Jamani; Nordin, Norjulia Mohamad
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2094-2106

Abstract

Thermoelectric generator (TEG) can directly convert heat energy into electrical energy. It improves the power efficiency of the energy generation system by converting the power loss in the form of heat produced during the generation process into additional electrical energy. The TEG emulator (TEGE) is a power converter that produces a similar current-voltage characteristic as the TEG. It is a valuable device used to develop and test the TEG-based energy generation system. Nonetheless, the research on the TEGE is still in the early stage. This paper proposed a proper, low-cost, and high-efficient TEGE design using the buck converter. The contribution of the paper covers the TEG model in the form of an array, the buck converter design tailored to the TEGE, and 4 new control strategies proposed for the TEGE. The control strategies are the direct referencing method (DRM), perturb and observed (PnO) method, resistance comparison method (RCM), and resistance feedback method (RFM). The conventional proportional-integral controller is used to maintain a smooth operation during transient and steady-state periods. The results show the merits or demerits for each proposed control strategy based on the accuracy, transient response, stability, overshoot, and efficiency.
Torgue and flux ripple mitigation technique using multi-level inverter for sequential model predictive controlled induction motor Abobaker, Abobaker Kikki; Nordin, Norjulia Mohamad; Razak, Azizah Abdul
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i1.pp287-297

Abstract

The control of electric motors presents a fascinating topic in the field of electrical engineering. Three-phase induction motors are extensively employed in industrial applications, because of their durability and cost-effectiveness. Hence, induction motor control research remains a major priority in electrical drive technology. Field-oriented control (FOC) and direct torque control (DTC) are the most common control methods for industrial applications up to now. Recently developed microcontroller processing capabilities have enabled novel control technology like model predictive control (MPC). High-performance drive systems could benefit from this new control method. One of MPC approach, referred to as finite control set-model predictive control (FCS-MPC), focuses on reducing a single cost function. This is achieved by adjusting a weighting factor to prioritize either torque or flux error reduction. However, the primary drawbacks of the standard FCS-MPC lie in determining these weighting factors and the variable switching frequency, which greatly varies based on the operational conditions. A control approach that eliminated the weighing factor was proposed. The proposed sequential model predictive control (SMPC) method is applied to a 3-phase induction motor operated by a 5-level CHB inverter. Simulation results matched theoretical analysis. Results demonstrated that stator flux and torque are independently controlled without weighting factor, and low harmonic distortion levels.