An FPGA-Based Modified Adaptive PID Controller for DC/DC Buck Converters

Ling, LV; Chang, Changyuan; Zhou, Zhiqi; Yuan, Yubo

doi:10.6113/jpe.2015.15.2.346

Cited by 12 publications

(5 citation statements)

References 18 publications

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“…When sudden changes occur in loads or input voltage, the output voltage can experience large drops, large-scale oscillations, long adjustment times, significant steady-state static errors, etc. [19]. If the system's input voltage or load changes significantly, the converter will show nonlinear severe characteristics.…”

Section: Literature Reviewmentioning

confidence: 99%

“…19 and 20 𝑇 𝑢(𝑠) represent a second-order transfer function in the Laplace domain. The output of all the equations are 𝑇 𝑢(𝑠) , which shows the responds to an input signal in terms of its amplitude and phase characteristics.…”

mentioning

confidence: 99%

“…The output of all the equations are 𝑇 𝑢(𝑠) , which shows the responds to an input signal in terms of its amplitude and phase characteristics. Equation 18 is the general equation, after putting the values in the equation, the new equation is equation19, and after solving it mathematically, the equation is transformed into equation 20. In the above equations 𝑇 𝑢𝑜 is used for the steady-state output when it reaches a stable condition in response to a constant input.…”

mentioning

confidence: 99%

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The Empirical Analysis, Mathematical Modeling, and Advanced Control Strategies for Buck Converter

Ullah,

Rizvi,

Khatoon

et al. 2024

IEEE Access

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The DC-DC converters are essential in power electronics as they maintain a stable output voltage even when there are changes in input voltage and load current. This study introduces an advanced Proportional-Derivative (PD) compensator for buck converters. The compensator enhances stability and transient responsiveness by employing a unique modulation technique that has not been previously applied in this context. The proposed method entails applying an input of 28 volts, which yields an output amplification of 15 volts, even in the presence of interference. The small signal transfer function of the buck converter is meticulously derived, considering the converter's dynamic behavior to achieve exceptional results. The transfer function comprehensively explains the intricate relationship between the input and output voltages, providing the theoretical basis for our distinctive control approach. The MATLAB code accurately generates the Bode diagram of the buck converter by employing the small signal transfer function. The graph illustrates the frequency response of the converter, a crucial factor in enhancing the stability and quality of the output voltage. The proposed research is substantiated by mathematical data shown through several simulated figures, distinguishing it from conventional methodologies. The implemented research achieves the maximum efficiency exceeding 95% with a minimum ripple factor.

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Section: Literature Reviewmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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The Empirical Analysis, Mathematical Modeling, and Advanced Control Strategies for Buck Converter

Ullah,

Rizvi,

Khatoon

et al. 2024

IEEE Access

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“…Regarding its simplicity, low cost, and adequate efficiency, the Proportional-Integrated-Derivative (PID) scheme is the most widely utilized for power converters [6,7], whereas providing a pure regulation and tracking of the reference signal was the goal, various techniques have been observed to perform as intended. These approaches are realistically unattractive because to their weakness against parametric uncertainty and a variety of disturbances.…”

Section: Introductionmentioning

confidence: 99%

Lyapunov-Based PID controller design for Buck converter with Real-time Implementation

khandan,

Delshad,

Jafari

et al. 2023

Preprint

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This paper presents a Lyapunov-based model reference controller for Buck converter operating under harmful disturbances. This strategy is an advanced version of the tuning method utilising Lyapunov stability function to reach a higher stability and a better disturbance rejection behavior in the practical applications. In addition, to reduce the computational burden and increase ease of implantation, Black-box technique is considered assuming no accurate mathematical model for the system. Lyapunov stability theory is used to enhance and tune the PID gain of this method with an adaptive mechanism while taking into account the real-time condition of a converter with regular changes. For this gain-based controller, an adaptive mechanism based on the Lyapunov concept is proposed, which can improve the stability and resilience of the system under various disturbances, particularly noise. Moreover, a Fuzzy-based PID controller and a PID technique with Particle swarm Optimization (PSO) algorithm are designed and compared with the presented Lyapunov-based technique. MATLAB\Simulink is utilized to examine the results of this improved controller. Additionally, this method produces better results in real-time contexts with faster dynamics and better frequency adaptation.

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“…As the linear PID control approach operates in a particular operating range defined by the gain parameters, it can be operated for high powers only and it cannot be endured for low and medium powers, which results in poor performance. Hence, the linear controllers cannot be used for the wide operating range . Therefore, the researchers had gone for the nonlinear techniques.…”

Section: Introductionmentioning

confidence: 99%

Real‐time implementation of Chebyshev neural adaptive controller for boost converter

Govindharaj

Mariappan

2020

Int Trans Electr Energ Syst

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Summary An indirect approach is employed to track the desired output voltage of the boost converter by controlling the inductor current in the proposed adaptive backstepping Chebyshev neural network controller, because of the non‐minimum phase nature of the converter. The computational complexity of the neural network is avoided by the use of Chebyshev polynomials as the basis function. The online weight update of the Chebyshev neural network is designed for the closed‐loop system based on the Lyapunov stability analysis to obtain an asymptotically stable system. In the proposed work, the required duty cycle is obtained by a novel method of solving the quadratic equation of the control function instead of the first derivative of the duty cycle to get the desired output voltage from the Lyapunov control function. Detailed analyses of simulations are carried out for a wide range of variations in the set point and load, and the results are compared with that of backstepping and PID controllers. The proposed controller exhibits superior performance than other controllers for the uncertainties caused by disturbances. To ensure its suitability in real time, a prototype is designed for the proposed controller, and the obtained results are compared with that of backstepping and PID controllers. Investigation of experimental results confirms the adaptability of the proposed control scheme as it exhibits accurate and fast response irrespective of disturbances acting upon it.

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An FPGA-Based Modified Adaptive PID Controller for DC/DC Buck Converters

Cited by 12 publications

References 18 publications

The Empirical Analysis, Mathematical Modeling, and Advanced Control Strategies for Buck Converter

The Empirical Analysis, Mathematical Modeling, and Advanced Control Strategies for Buck Converter

Lyapunov-Based PID controller design for Buck converter with Real-time Implementation

Real‐time implementation of Chebyshev neural adaptive controller for boost converter

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