Control Of DC-DC Boost Converter Research Articles

Fast Terminal Sliding Mode Control of DC–DC Boost Converters With Enhanced Disturbance Rejection

Fast Terminal Sliding Mode Control of DC–DC Boost Converters With Enhanced Disturbance Rejection

Performance analysis of PID controller and fuzzy logic controller for DC-DC boost converter.

Demand of Power electronics converter is increased due to the rapid increase of green re-sources. The distributed nature of uncontrolled renewable energy resources are connected with the grid via power electronics converter. DC-DC converters are high-frequency current conversion circuits that use transformers, inductors, and capacitors to smooth switching noise into regulated DC voltages. In this study, a comparative performance analysis of Proportional integral Derivative (PID) and fuzzy logic controller (FLC) for DC-DC Boost Converter is presented. PID-based controller for dynamic boosting of DC-DC boost converter was replaced by Fuzzy Inference system (FIS) to study the system behavior. Five different membership functions were performed to observe the response of the system for DC -DC boost converter with FIS controller. The performances of FIS-based controller and PID-based controller for DC-DC boost converter were compared in detail. Also, the proposed techniques for the switching mode of DC-DC converter have been applied. The performance analysis of both PID and fuzzy controller was simulated using MAT LAB. The results of FIS based approach are better than PID based controller in terms of transient responses.

Neural Network Integrated Adaptive Backstepping Control of DC-DC Boost Converter

This paper deals with the output voltage regulation problem of dc-dc boost converter feeding a resistive load. A new control mechanism based on Chebyshev neural network embedded in an adaptive backstepping framework is proposed for the boost converter control. Since the converter is complex, time varying and non-linear in nature, it exhibits high sensitivity to unanticipated disturbances in the load current. Hence, designing a robust control mechanism to attain a satisfactory transient and steady state performance over a wide range of operating points is a challenging task. In this work, a control law is derived based on the systematic and recursive design strategy of adaptive backstepping method. A single layer functional link Chebyshev neural network is employed for a fast estimation of uncertain and time varying load profile of the boost converter. The stability of overall converter equipped with the proposed controller is proved using Lyapunov stability criterion. Further, in order to validate the proposed methodology, the boost converter is simulated in MATLAB/Simulink software and is subjected to different load perturbations. The efficacy of the proposed control is highlighted by evaluating it against the conventional adaptive backstepping control under identical conditions. The results obtained reveals that the proposed control is much faster in estimating the unknown load parameter and offers satisfactory output voltage tracking, yielding fast response and low peak overshoot/undershoot in the event of unknown load perturbations. Experimental investigation using dspace DS1103 controller is further carried out to validate the efficacy of proposed control scheme.

Performance Analysis of Boost Converter for Constant Voltage Applications Under the Variation of Closed-Loop PI Controller Parameters

PI Controller is one of the eminent controller which holds majority of the applications in industrial purposes. This paper encompasses an analysis on the performance of PI controller for DC-DC Boost converter for constant voltage application where codifications of gains of PI controller are done in terms of natural frequency and damping factor. The converter has been designed to operate in continuous conduction mode and the voltage mode control strategy has been proposed by using pulse width modulation (PWM) with the PI controller. A set of gain parameters of PI controller can be selected to obtain the output of the PI controller with low rise time, quick settling time and also with more stability features. The effectiveness of this boost (or step up) converter with different set of PI controller gains has been verified through simulation where MATLAB/Simpower is used as the utensil. All the simulation results intrinsically emphasized on efficient performance of the proposed control strategy.

Design and Analysis of Lyapunov Function based Controller for DC-DC Boost Converter

Objectives: To design a control system for DC-DC boost converter based on lyapunov stability theorem that fulfills all control purposes. Methods/Statistical Analysis: A DC-DC boost converter is controlled using switching function extraction method based on lyapunov stability theorem. Switching function extraction is a proper method to control switching devices such as DC-DC converters. At first state-equations of the system are obtained from large signal averaged model of the system. After that, fundamentals of lyapunov theorem are applied to state equations that lead to the calculation of switching function by which the converter is controlled. Findings: Using the presented method in this paper based on lyapunov theorem makes the converter system remain stable in all operational conditions. Also, it is shown that using proposed system for controlling DC-DC converter; state variable tracks its reference with an acceptable response. The current controller is also compared with conventional PI controller and it is observed that lyapunov based controller operates better in many ways. By using this controller stability of the system is guaranteed and when there is a sudden change in the reference of state variable, the state variable tracks down and corresponds with the new value. Application/Improvements: This controller can be used in all kinds of DC-DC, DC-AC and other kinds of converters. It is also applicable to all switching devices such as switching power sources.