International Journal of Power Electronics and Drive Systems (IJPEDS)
International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. Included are techniques for advanced power semiconductor devices, control in power electronics, low and high power converters (inverters, converters, controlled and uncontrolled rectifiers), Control algorithms and techniques applied to power electronics, electromagnetic and thermal performance of electronic power converters and inverters, power quality and utility applications, renewable energy, electric machines, modelling, simulation, analysis, design and implementations of the application of power circuit components (power semiconductors, inductors, high frequency transformers, capacitors), EMI/EMC considerations, power devices and components, sensors, integration and packaging, induction motor drives, synchronous motor drives, permanent magnet motor drives, switched reluctance motor and synchronous reluctance motor drives, ASDs (adjustable speed drives), multi-phase machines and converters, applications in motor drives, electric vehicles, wind energy systems, solar, battery chargers, UPS and hybrid systems and other applications.
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Robust control of wind turbine based on doubly-fed induction generator optimized by genetic algorithm
Noureddine Elmouhi;
Ahmed Essadki;
Hind Elaimani
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp674-688
In this research paper we will cover the study of the modelling and the control methods of the variable speed wind turbine based on doubly-fed induction generator (DFIG). It represents the most stressed structure given its distinctive characteristics. To control the electrical powers generated by this system independently, the vector control with the stator flux orientation is founded according to two techniques: i) the control of the powers by the backstepping technique and ii) the robust control based on the active disturbances rejection control. After the synthesis of the controllers of those two methods, their performances will be tested and compared to evaluate their effectiveness. We are mainly interested in the robustness test of the two control strategies with respect to the internal parameters’ fluctuation of the generator. The computing of the different parameters regulators of these two strategies is carried out using a genetic algorithm. This computing method makes it possible to arrive at an optimal solution of the DFIG power control. The different parts are simulated using MATLAB/Simulink environment.
Salp swarm algorithm based optimal speed control for electric vehicles
Potnuru, Devendra;
Ayyarao, Tummala Siva Lova Venkata;
Kumar, Lagudu Venkata Suresh;
Kumar, Yellapragada Venkata Pavan;
Pradeep, Darsy John;
Reddy, Challa Pradeep
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp755-763
The paper is all about the implementation of a novel bio-inspired metaheuristic salp swarm algorithm (SSA) for speed control of brushless DC (BLDC) motor drive that is run in sensorless control mode. The angular speed of the motor is evaluated using an extended kalman filter, in which the dynamics of the motor are nonlinear. The error in speeds between actual and estimated is fed to the PID controller. To achieve the good transient operation of the motor drive, the parameters of the PID are tuned with the SSA. The optimum PID gains are determined by the minimization of integral square error and then final optimum gains are validated on the laboratory testbed. The proposed method is also tested in various cases to check the performance of the drive. The experiments are also performed at low speeds to know the superiority of the proposed method.
A comparison between six-step and sine-wave commutation methods for brushless direct current motors
Hilmi Yafi Al-Faruq;
Harry Septanto
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp665-673
This research is focused on the design and implementation of an electronic circuit for commuting a brushless direct current (BLDC) motor and its data acquisition system, as well as conducting experiments on them. We propose a drive circuit using two modules, each consist of a dual H-bridge, that are cheap and can be easily obtained. Two different commutation methods, namely six-step and sine-wave commutations, are applied. Each of these implements a different way for its open-loop speed control, i.e., a voltage-controlled-current-source is implemented along with the six-step commutation and the step duration approach is implemented along with the sine-wave commutation. The experiment data are acquired using a developed desktop application. Some experiment results lead us to find that, on its own, both commutation methods have a narrow range of speed. Nevertheless, if both methods are used together, this range can be increased. Also, the relation between speed and its controlling signals for both methods are shown.
Estimation of loads for off-grid solar photovoltaic systems
Mustafa Yaseen Abdulateef;
Mohammed Hasan Ali;
Maher Alwan Hussen
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp918-925
Solar power is a renewable energy technology that turns sunlight into electricity using solar panels. The generated electricity can be stored or utilized immediately, returned to the grid, or combined with a renewable electricity source or several renewable technologies solar energy systems are a supply that is both dependable and environmentally friendly of energy that may be used for a range of applications, including commercial, industry, farming, and livestock needs. The system requires practically no maintenance, making it perfect for isolated locations. The near-zero operating costs outweigh the initial hefty installation costs. When evaluated at an ambient temperature of 25°C, a typical photovoltaic (PV) module outputs power with a maximum output voltage of roughly 17V. However, on a very warm day, it can drop to around 15V, and on a very freezing day, it can drop to around 15V, it can soar to 18V.
Design and performance of very low head water turbines using a surface vorticity model algorithm
Ridwan Arief Subekti;
Budi Prawara;
Anjar Susatyo;
Ahmad Fudholi;
Sastra Kusuma Wijaya;
Arief Sudarmaji
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp1140-1149
This study explores the numerical optimization of water turbine runner profile performance using a surface vorticity model algorithm. The turbine is designed on a laboratory scale and operates at a net head of 0.09 m, 400 rpm, and a water flow rate of 0.003 m3/s. The initial design of the turbine runner was optimized to minimize losses in the hydrofoil. The optimization algorithm is coded in MATLAB software to obtain the optimal stagger angle that will be used in the water turbine design. Furthermore, design validation was performed using computational fluid dynamics analysis ANSYS CFX to determine the water turbine performance. The settings used in ANSYS CFX include the reference pressure of 1 atm, turbulence model shear stress transport, and inlet boundary conditions using total pressure and static pressure outlet boundary conditions. The computational fluid dynamics analysis reveals that by optimizing the design, the efficiency of the water turbine increases by approximately 2.6%. The surface vorticity model algorithm can be applied to optimize the design of the water turbine runner.
Modelling and control design of the electrostatic linear comb actuator
Dzung Tien Nguyen;
Nam Phuong Dao;
Hoa Thi Thanh Lai
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp805-811
Control design plays a major part in electrostatic linear comb actuator (ELCA) systems. Most existing control methods of ECLA mainly focus on traditional PID method. However, proportional–integral–derivative (PID) controller is only appropriate for the reference to be known as constant. In this article, the problem of establishing the dynamic model and designing the controller is investigated for ECLA working in the time-varying reference. The tracking effectiveness is constructed for ECLA systems based on the consideration of roots of the equivalent differential equation in tracking error model. Moreover, the convergence velocity is also tuned by changing the parameters in the presented control scheme. Simulation results guarantee the performance of the nonlinear control scheme as well as dynamic model to be established.
Development of performance characterization in VSI-fed induction motor drives using random PWM
Mohan Das Raman;
Chandirasekaran Easwaran;
Vinod Kumar Srinivasan;
Bharatiraja Chockalingam
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp783-791
Any industrial or power sector application requires a pulse width modulation (PWM) inverter. Industrial drives, in particular, are highly concerned with industrial standards. To satisfy the voltage source inverter (VSI) drives objects, a variety of PWM approaches are used, including inverter DC input voltage utilizations, suppression of higher and lower order of harmonics, as well as spreading harmonics acoustic noise reduction, among others PWMs. One of the better approaches for minimizing noise on voltage source three-phase inverter fed drives is random pulse width modulation (RPWM). Despite the fact that these described RPWM approaches are superior in terms of harmonic spreading and mitigation, these methods are unable to achieve the target DC-link utilizations. As a result, the focus of this paper is on combining multicarrier RPWM principles with space vector PWM (SVPWM) to produce multi-carrier random SVPWM (MCRSVPWM). The suggested PWM generates random unsystematic triangle carrier (5 kHz, 2.5 kHz, 1.25 kHz, 1 kHz) based pulses, whereas the traditional random PWM techniques are uses a fixed frequency triangular carrier to generate random pulse positions. Asynchronous induction motor driving simulation is carried out using MATLAB/Simulink. The proposed MCRSVPWM is put to the test with a 2-kW six-switch VSI-fed induction motor drive system.
Simulation of adaptive gain control via 2-D lookup table for isolated hybrid micro-grid system
Mazin Mustafa Mahdi;
Ekhlas Mhawi Thajeel;
Abu Zaharin Ahmad
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp1255-1265
This paper presented a smartness 2-D lookup table (2-DLT) control by means of adaptation gain to develop a frequency controller and facilitate the power-sharing requirements in an isolated micro-grid system. This intelligence of an expert controller adopts the scale of adaptation gain for estimating control design. Synchronous power generators are commonly used to provide power to distant and isolated regions where grid expansion is expensive due to economic and technical constraints. Load frequency control (LFC) technology challenges to guarantee the reliability and stability regarding the system. It is known that conventional control methods are unreliable due to frequency variation and sudden changes in the load or failure generation. Traditional control and criteria may not be appropriate for the new structural networks, such as micro-grid. In this work, the performance of the proposed 2-DLT controller is examined and compared to the classical proportional integral (PI) controller and artificial neural network (ANN). The simulation system is implemented and tested using MATLAB/Simulink.
Switching function parameter variation analysis of a quasi-sliding mode controlled induction motor drive
Shaija Palackappillil;
Asha Elizebath Daniel
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp733-743
Sliding mode control is a nonlinear, robust control that is having better load disturbance rejection capability, less parameter sensitivity and fast dynamic response. Conventional sliding mode control introduces high chattering that can degrade the induction motor (IM) drive system responses. Hence, a quasi-sliding mode controller (Q-SMC) using a hyperbolic tangent function coupled with equivalent control is designed for robust speed control of vector-controlled IM drive in this work. This work focuses on the effect of variation of the switching function parameters of the Q-SMC on the performance of the drive. Extensive simulations are performed using MATLAB/Simulink software, and the switching function parameters are adjusted across a wide range and its impact on motor performance is studied qualitatively and quantitatively, with accompanying graphical results and various transient parameters. It is observed that a Q-SMC controller with a larger boundary layer width has less overshoot, less steady-state error, and a lower current THD. It is also observed that even though a high gain Q-SMC controller responds quickly, the percentage overshoot for high gain systems is likewise large. Hence, if the boundary layer width and switching gain parameters are optimized, a Q-SMC speed controller is a promising choice for a high-performance IM drive.
Design a photovoltaic simulator system based on two-diode model with linear interpolation method
Lam Quang Thai;
An Thi Hoai Thu Anh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v13.i2.pp856-864
For an effective study of photovoltaic (PV) systems, precise current-voltage (I-V), power – voltage (P-V) curves of photovoltaic modules are required. However, conducting experiment on real panels faces with many difficulties such as needing large space, high cost, objective conditions of the environment. Therefore, it is essential to research an emulator producing the I-V, P-V characteristics of a PV system the same as those conducted on a real PV panel. This paper presents a two–diode model simulation replacing a photovoltaic panel to export precise current-voltage (I-V), power – voltage (P-V) curves based on the linear interpolation method. The proposed simulator shows many advantages of subjecting to changes in radiation and temperature. The accuracy of the emulator has been not only verified by the simulation results on Matlab software, but also evaluated, compared with the experiment model. The simulation results have coincided with the experimental ones, the output error of less than 4% is shown in the experiment.