Over the last few decennia, power DC/DC converters have been the subject of great interest due to its extensive increment of utilization in different applications. A thorough review on recent developed power DC/DC converters is presented in this paper. The study is focused on the topologies in different applications such as renewable energy, automobile, high-voltage and medium-voltage DC power systems, telecommunication, etc. In addition, an overview of the modulation techniques, the state-of-the-art of control strategies of well-established converters are discussed. Photovoltaic (PV) systems as the noticeable renewable energy resources generally suffer from poor conversion efficiency with instability and intermittent characteristics. Therefore, DC/DC converter with Maximum Power Point Tracking (MPPT) algorithm is essential to ensure maximum available power harnessed from the PV. Important features of DC/DC converters with MPPT are also figured with various performances. Furthermore, the design and optimization of different parameters are addressed systematically. Finally, the researcher’s future challenges and focusing trends are briefly described. For the next-generation converters design and applications, these are considered in details, and will provide useful framework and point of references.

Recent progress and development on power DC-DC converter topology, control, design and applications: A review

Experimental analysis of impact of MPPT methods on energy efficiency for photovoltaic power systems

Review on non-isolated DC-DC converters and their control techniques for renewable energy applications

Recently, four-wheeled steerable mobile robots (FSMR) have attracted increasing attention in industrial fields, however the collision-free trajectory tracking control is still challenging in dynamic environments. This paper studies a new coupled fractional-order sliding mode control (CFSMC) and obstacle avoidance scheme, which has superior capacities of providing more control flexibilities and achieving high-accuracy. Instead of exploring traditional integer-order solutions, novel fractional-order sliding surfaces are proposed to handle the nonlinear interconnected states in a coupled structure. To accomplish non-oscillating avoidance of both stationary and moving entities within an uncertain workspace, a modified near-time-optimal potential function is subsequently presented with improved efficiency and reduced collision-resolving distances. By utilizing fuzzy rules, proper adaption gains of the reaching laws are designed to degenerate the effect of undesired chattering. The asymptotic stability and convergence can be guaranteed for the resultant closed-loop system. Three experiments are implemented on a real-time FSMR system. The results validate the reliability of the presented CFSMC scheme in terms of significantly mitigated following errors, faster disturbance rejection and smooth transition as compared to conventional methods.

Coupled fractional-order sliding mode control and obstacle avoidance of a four-wheeled steerable mobile robot.

Solar energy is considered to be the most reliable source in the future, and applying solar energy for flight is one of the most promising utilizations of renewables. Since the invention of solar-powered aircraft in 1974, the methods to extract and store energy for it have become the important research points all around the world. Currently, the main methods to do so are photovoltaic cell, rechargeable battery, and component of maximum power point tracking (MPPT). These years, many institutions and scholars have dedicated great efforts to the relative research. Besides, there are also several other methods in consideration, such as to extract energy from wind shear and store energy by gravitational potential. However, it is still not a simple task for the designers of solar-powered aircraft to select a particular technique from a number of existing techniques, since each technique has certain advantages and disadvantages with respect to different performance indices to fulfill the special requirements. Thus, the aim of this paper is to review in detail the working principle of different methods to extract and store energy, and to compare their performances on the basis of desirable features applied on solar-powered aircraft, and to provide some guidance principles for designers to select proper methods.

Reviews of methods to extract and store energy for solar-powered aircraft

This article presents an indirect sliding mode control (SMC) for single-ended primary-inductor converters (SEPIC). Unlike the conventional SMC methods, the proposed SMC method employs a sliding surface function based on the input current error only. The use of such sliding surface function not only simplifies the implementation but also reduces the cost of implementation. It is shown that the output voltage control can be achieved indirectly. The input current reference is generated by a proportional–integral (PI) regulator. The existence condition and the region of the closed-loop system are determined for all possibilities of the PI gains. The performance of the proposed SMC method is investigated on a laboratory prototype converter, operated in buck and boost modes, in terms of the voltage regulation ability under abrupt changes in the input voltage and load resistance. Simulation and experimental results are presented and discussed.

Indirect Sliding Mode Control for DC–DC SEPIC Converters

In this study, Perturb and Observe Maximum Power Point Tracking algorithm and Model Predictive Control (MPC) algorithm are combined to improve the dynamic performance of the control structu...

A model predictive control-based hybrid MPPT method for boost converters

Design and application of a multi-input single-output (MISO) dc/dc power converter is presented that provides the interoperability of separate energy sources having different power levels those are connected to the same dc bus through a double-layer boost converter. Thus, power control of the proposed MISO converter is realized on both the negative and the positive layers. As the first step, mathematical model and state equations of the converter are created and then verified in Matlab/Simulink. Control of the power flow and the output voltage is achieved by setting the duty cycles of switches located on each layer. A PI controller is added to the model to optimally perform the voltage and load sharing control. Furthermore, a real prototype of the proposed MISO converter is carried out to verify the simulation results. Experimental results show that the proposed MISO converter is a powerful solution for hybrid energy systems consisting ofdifferent kind ofenergy sources.

Application of a boost based multi-input single-output DC/DC converter

In this article, a multi-input multi-output sliding mode control methodology with constant switching frequency for single-phase quasi-Z-source inverters (qZSI) is proposed. The mathematical model of the entire system is derived in state-space form. The proposed sliding mode control is capable of controlling both dc and ac sides of the system concurrently. Unlike the existing methods, the proposed control does not require proportional-integral controller in the dc-side. Furthermore, it offers several advantages, such as simple implementation, reduced gain requirement, robustness against system parameters, and zero steady-state error in the load voltage. The fixed switching frequency is attained by altering the sliding manifold behavior inside a boundary layer. The power balance equation is used to generate the dc-side inductor current reference. The feasibility of the proposed control method is investigated experimentally when qZSI feeds linear and nonlinear loads.

Naki Guler

Papers

Indirect Sliding Mode Control for DC–DC SEPIC Converters

A model predictive control-based hybrid MPPT method for boost converters

Application of a boost based multi-input single-output DC/DC converter

Multi-Input Multi-Output-Based Sliding-Mode Controller for Single-Phase Quasi-Z-Source Inverters

Application of a high efficient voltage regulation system with MPPT algorithm