DC-DC Zeta Converter Research Articles

Efficient Power Factor Correction using Chaotic Artificial Bee Colony Algorithm-Based FOPID Controller in DC-DC Zeta Converters

Design and implementation of a Chaotic Artificial Bee Colony (ChABC) algorithm based Fractional Order Proportional Integral Derivative (FOPID) controller for Power Factor Correction (PFC) in Switched Mode Power Supply (SMPS) using DC-DC Zeta converter is proposed in this article. The dc-dc zeta converter has the advantages of high efficiency over a wide range of input and output voltages, an enormous power factor, low line current harmonics, and can convert voltages both up and down. Operating the converter in discontinuous conduction mode (DCM) achieves power factor correction and simplifies the control circuit. This article describes the design characteristics, operating principles, and controller design of the proposed converter. The design, analysis, modeling and advancement of the ChABC algorithm based FOPID controller in SMPS offers the better power quality and faster convergence of regulated output voltage. Simulation and experimental results are presented to verify power factor, % Total Harmonic Distortion (THD), output voltage regulation, stability, and robustness for various load, line, and reference voltages.

REDUKSI RUGI-RUGI PENSAKLARAN PADA KONVERTER DC-DC ZETA DENGAN TEKNIK ZERO VOLTAGE TRANSITION

This paper presents a dc-dc ZETA converter with reduced switching loses at the main switch. Reducing switching loses is obtained by application of a resonance switch, where turn-on by the zero voltage and rising voltage at turn-off is limited by capacitor that it’s placed parallel with main switch. The operational principle of the proposed dc-dc ZETA converter with reduced switching loses has been analyzed under different modes of switching operation. To validate the proposed converter, the implementation is carried out using PSIM software. Simulation result shows that the main switch turn-on at the zero voltage and turn-off at the main switch voltage increase in a quadratic function, so that the result of the voltage and current multiplying is lower, on the other hand the loses of the main switch can be reduced.

Modified Current Sensorless Incremental Conductance Algorithm for Photovoltaic Systems

This paper proposes a novel maximum power point tracking algorithm applied to photovoltaic systems. The proposed method uses the derivative of power versus voltage to define the tracking path and has the advantage of requiring only a voltage sensor to be implemented. The absence of the current sensor and the auxiliary circuitry employed for conditioning the current signal imply cost reduction, configuring the main contribution of the proposed method, whose performance is kept close to the classical incremental conductance method, even with the reduced number of components. A DC-DC zeta converter is introduced in the content of this work as an interface between a photovoltaic array and a resistive load. The paper describes the operating principle and presents the mathematical formulation related to the proposed algorithm. Interesting simulation and experimental results are presented to validate the theory by comparing the proposed method with its traditional version under several scenarios of solar irradiance and temperature.

Studying the Applicability of Swarm Intelligence in Designing Optimized PI Controller for DC-DC Zeta Converter: A MATLAB-Based Approach

Studying the stability of power converters and improving the performance is a major concern for researchers in the domain of power electronics. In this context, the DC-DC Zeta converter is studied in this paper and the closed-loop operation is comprehensively investigated by employing swarm intelligence (SI) algorithms with a view to design an optimized proportional-integral (PI) controller. These algorithms have been increasingly used to develop and optimize power converters in recent years. The state-space averaging technique was used to design the converter’s closed-loop transfer function. Hence, the traditional and SI algorithm-based PI controllers are inspected, and comparative analysis is presented. Four objective functions termed as integral absolute error, integral time absolute error, integral square error, integral time squared error, gain values, and different performance parameters such as percentage of overshoot, rise time, settling time, and peak amplitude are tabulated to examine the stability of the system. Furthermore, eigenvalues have been analyzed for determining the stability of the system extensively. Finally, a detailed comparative study is shown to provide a detailed evaluation of the performances where ant colony optimization for continuous domains (ACOR)-based PI controller has shown promising results than other SI-based controllers in terms of percentage of overshoot (2.27%), rise time (1.54 μs), and settling time (0.103 μs). All the simulation results and analysis are obtained using the MATLAB-Simulink.

Design of a photovoltaic mppt charge controller using DC-DC zeta converter with a modified three-stage charging method

Nowadays, one of the primary kinds of renewable energies is photovoltaic (PV) systems. In standalone PV systems, the battery charge controller plays an important role in the system efficiency. In the maximum power point tracking (MPPT) charge controller, due to adjusting the voltage level and tracking the maximum power, DC-DC converter and MPPT algorithm are used. ZETA converter, as a DC-DC converter, offers a low output ripple. In the proposed MPPT charge controller, a DC-DC ZETA converter accompanied by a P&O (perturb and observe) algorithm will be used for tracking maximum power. Furthermore, over-charging and gassing are phenomena that may reduce the battery life by increasing the battery's temperature. To overcome this obstacle, the proposed three-stage charging method, which is the battery charging voltage levels (bulk, absorption, and float) are based on the battery temperature. The proposed MPPT charge controller is used for providing lower temperature for the battery when being charged. By comparing the proposed MPPT charge controller with the conventional method, the simulation results can ensure the desired performance of the proposed charge controller.

PERANCANGAN ZETA CONVERTER PADA PELACAKAN TITIK DAYA MAKSIMUM PHOTOVOLTAIC MENGGUNAKAN ALGORITMA MODIFIKASI HILL CLIMBING

Electrical energy is a primary need at this time, which almost all human activities require electricity. The electrical energy we use today is a conversion from other energy, partly derived from fossil energy, which is energy that cannot be renewed and will run out if it is continuously explored and exploited. Solar energy is a renewable energy source that has the potential to be converted to electrical energy using solar panels or so-called photovoltaics.
 Photovoltaic has a drawback in its use, namely the output value is very dependent on environmental conditions. To maximize the power efficiency between the photovoltaic output and the power to be used by the load, a method is needed, namely Maximum Power Point Tracking (MPPT). In the application of this MPPT DC-DC Zeta converter is used with a hill climbing algorithm to achieve the value of the output voltage and current at maximum power. With this method, it is expected that MPPT control is reliable and easy to apply.
 In this study, the type of photovoltaic module used is the 60 Wp monocrystalline type with sampling data once an hour from 09.00 - 17.00 WITA, the tracking speed data obtained by the modified hill climbing algorithm is 0.142 seconds on average with an average efficiency of 99.969 %.

Performance Analysis of PI and SMC Controlled Zeta Converter

This paper presents the design and analysis of DC-DC Zeta converter operating in the continuous conduction mode to regulate the output voltage of the converter for automotive battery recharge applications. The state space analysis of the converter is derived to obtain the transfer function of the converter. The presented DC-DC converter exhibits the non-linearity due to the presence of energy storage elements and degrades the performance of the converter. Therefore, this paper proposes a non-linear cascaded Proportional -Integral Sliding Mode Controller (PI-SMC) to improve the performance of the converter. PI-SMC Controller contains PI Controller in the outer loop for voltage regulation and an inner fast acting SMC Controller for current shaping. The PI controller is tuned by Root locus and Routh Hurwitz criterion and the steady state performance parameters are obtained for the PI-SMC Controlled Zeta converter. MATLAB/SIMULINK results are presented for Set point tracking of the controller. The results shows that the steady state performance indices such as Integral Absolute Error (IAE) and Integral Time Absolute Error (ITE) are significantly enhanced for the converter using the proposed cascaded control scheme compared to the conventional PI controller.

Uncertain DC-DC Zeta Converter Control in Convex Polytope Model Based on LMI Approach

<span>A dc-dc zeta converter is a switch mode dc-dc converter that can either step-up or step-down dc input voltage. In order to regulate the dc output voltage, a control subsystem needs to be deployed for the dc-dc zeta converter. This paper presents the dc-dc zeta converter control. Unlike conventional dc-dc zeta converter control which produces a controller based on the nominal value model, we propose a convex polytope model of the dc-dc zeta converter which takes into account parameter uncertainty. A linear matrix inequality (LMI) is formulated based on the linear quadratic regulator (LQR) problem to find the state-feedback controller for the convex polytope model. Simulation results are presented to compare the control performance between the conventional LQR and the proposed LMI based controller on the dc-dc zeta converter. Furthermore, the reduction technique of the convex polytope is proposed and its effect is investigated.</span>

Performance Analysis of PI controlled DC-DC Zeta Converter for Grid connected PV System

Performance Analysis of PI controlled DC-DC Zeta Converter for Grid connected PV System

A New Modeling Method and controller design for a DC-DC Zeta Converter

In this paper, a new method based on signal flow graph technique and Mason’s gain formula are applied to model a dc‐dc Zeta converter. The model is the transfer functions from control to output and from input to output. Zeta converter is a rather complex system, which has four passive elements and may perform in either buck or boost operating modes. Compared with other converters in the same group, such as Cuk and SEPIC converters, the dynamic modelling and analysis of the Zeta converter have been not reported in the literature. For modelling target and to get rid of complex equations in modelling, a new method based on signal flow graph approach is applied to manipulate the equations. After modelling and doing dynamic stability analysis in continuous conduction mode, and prove the necessity of a controller design for it. A model based PID controller is designed for the converter and the simulation results are presented to verify the correctness of the achieved model and model‐ based controller and the signal flow graph performance.