BBBC based optimization of PI controller parameters for buck converter

Gupta, Akhilesh Kumar; Kumar, Deepak; Reddy, Bandi Mallikarjuna; Samuel, Paulson

doi:10.1109/ipact.2017.8244983

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…Similarly, when step-down Q2 is ON, Q1 is OFF. Cross conduction can be avoided by setting a dead time between both switches to ensure safe operation [40]. This topology is basic and has noteworthy effectiveness [41].…”

Section: Bidirectional Buck-boost Convertermentioning

confidence: 99%

A Review on State-of-the-Art Power Converters: Bidirectional, Resonant, Multilevel Converters and Their Derivatives

et al. 2021

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With the rapid development of modern energy applications such as renewable energy, PV systems, electric vehicles, and smart grids, DC-DC converters have become the key component to meet strict industrial demands. More advanced converters are effective in minimizing switching losses and providing an efficient energy conversion; nonetheless, the main challenge is to provide a single converter that has all the required features to deliver efficient energy for different types of modern energy systems and energy storage system integrations. This paper reviews multilevel, bidirectional, and resonant converters with respect to their constructions, classifications, merits, demerits, combined topologies, applications, and challenges; practical recommendations were also made to deliver clear ideas of the recent challenges and limited capabilities of these three converters to guide society on improving and providing a new, efficient, and economic converter that meets the strict demands of modern energy system integrations. The needs of other industrial applications, as well as the number of used elements for size and weight reduction, were also considered to achieve a power circuit that can effectively address the identified limitations. In brief, integrated bidirectional resonant DC-DC converters and multilevel inverters are expected to be well suited and highly demanded in various applications in the near future. Due to their highlighted merits, more studies are necessary for achieving a perfect level of reducing losses and components.

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Section: Bidirectional Buck-boost Convertermentioning

confidence: 99%

A Review on State-of-the-Art Power Converters: Bidirectional, Resonant, Multilevel Converters and Their Derivatives

et al. 2021

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“…In stepdown mode Q2 will conduct according to the duty cycle and Q1 will not conduct in this mode. A small dead time provided between both the operation so that cross conduction can be avoided [17] [21]. Given topology is a non-isolated half-bridge BDC topology and it is designed by the combination of boost converter connected antiparallel with buck converter [22], [23].…”

Section: Bidirectional Buck-boost Convertermentioning

confidence: 99%

Bidirectional dc to dc Converters: An Overview of Various Topologies, Switching Schemes and Control Techniques

Ravi¹,

Reddy²,

S.L³

et al. 2018

IJET

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Bidirectional dc to dc converter is used as a key device for interfacing the storage devices between source and load in renewable energy system for continuous flow of power because the output of the renewable energy system fluctuates due to change in weather conditions. In electric vehicles also, bidirectional converter is used between energy source and motor for power supply from battery to motor. Thus, bidirectional dc to dc converters are getting more and more attention in academic research and in industrial applications. Bidirectional dc to dc converters work in both buck and boost mode and can manage the flow of power in both the direction between two dc sources and load by using specific switching scheme and phase shifted control strategy and hence generated excess energy can be stored in batteries/super capacitors. Therefore, the basic knowledge and classification of bidirectional dc to dc converters on the basis of galvanic isolation, the comparison between their voltage conversion ratio and output current ripple along with various topologies researched in recent years are presented in this paper. Finally, zero current and zero voltage soft switching schemes and phase shifted controlling techniques are also highlighted.

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“…However, the presented tuning methods are not able to find the best solution for some control problems due to long calculating process time or early convergence problem. Therefore, more powerful intelligent optimization methods have been presented by researchers to find best global solution for many control problems in different applications fields such as Genetic Algorithm (GA) [3][4][5], Bacteria Foraging Optimization Algorithm (BFOA) [5], Big Bang-Big Crunch (BBBC) algorithm [6], Particle Swarm Optimization (PSO) algorithm [3,7], Particle Swarm Inspired Evolutionary Algorithm (PS-IEA) [8], Artificial Bee Colony (ABC) [9]. GA tuning method cannot be employed to find a global solution for complex optimization schemes due to stuck problem in the calculation process, solution divergence and large number of iterations.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Approach for Robot System Using LQG Technique

Mohammed¹,

Noaman²

2022

JESA

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A two-wheeled self-balancing robot system bases on the physical problem of an inverted pendulum. Stabilization of this type of mobile robot requires applying an active control approach. This paper proposes an efficient Linear Quadratic Gaussian (LQG) optimal control for the two-wheeled robot system. The LQG (a combination of a Kalman Filter (KF) and Linear Quadratic Regulator (LQR)) controller is designed to stabilize the robot while reducing the effect of the process and measurement noises on its performance. The LQG controller parameters (elements of state and control weighting matrices of the LQR and KF) are optimally tuned using the Particle Swarm Optimization (PSO) optimization method. The robot stabilization scheme is simulated utilizing MATLAB software to validate the proposed PSO-LQG controller system. The effectiveness of the proposed controller is validated based on the control criteria parameters, which are rise time, settling time, maximum overshoot, and steady-state error. The results prove that the proposed PSO-LQG controller can give very good movement performance in terms of both transient and steady-state responses.

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BBBC based optimization of PI controller parameters for buck converter

Cited by 9 publications

References 18 publications

A Review on State-of-the-Art Power Converters: Bidirectional, Resonant, Multilevel Converters and Their Derivatives

A Review on State-of-the-Art Power Converters: Bidirectional, Resonant, Multilevel Converters and Their Derivatives

Bidirectional dc to dc Converters: An Overview of Various Topologies, Switching Schemes and Control Techniques

Optimal Control Approach for Robot System Using LQG Technique

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