Experimental validation of fractional order internal model controller design on buck and boost converter

Jain, Shivam; Hote, Yogesh V.; Dehuri, Padmalaya; Mittal, Deeksha; Siddhartha, Vishwanatha

doi:10.1177/0020294020922264

Cited by 7 publications

(3 citation statements)

References 36 publications

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“…Li et al 8 designed an adaptive sliding mode controller to compensate the input uncertainties for a class of fractional order nonlinear systems with unknown external disturbances and input uncertainties. Jain et al 9 proposed a fractional order internal model control method for non-ideal dc-dc buck and boost converter.…”

Section: Introductionmentioning

confidence: 99%

Observer-based adaptive neural network backstepping sliding mode control for switched fractional order uncertain nonlinear systems with unmeasured states

Chen

Cao

Yuan

et al. 2021

Measurement and Control

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This paper proposes an observer-based adaptive neural network backstepping sliding mode controller to ensure the stability of switched fractional order strict-feedback nonlinear systems in the presence of arbitrary switchings and unmeasured states. To avoid “explosion of complexity” and obtain fractional derivatives for virtual control functions continuously, the fractional order dynamic surface control (DSC) technology is introduced into the controller. An observer is used for states estimation of the fractional order systems. The sliding mode control technology is introduced to enhance robustness. The unknown nonlinear functions and uncertain disturbances are approximated by the radial basis function neural networks (RBFNNs). The stability of system is ensured by the constructed Lyapunov functions. The fractional adaptive laws are proposed to update uncertain parameters. The proposed controller can ensure convergence of the tracking error and all the states remain bounded in the closed-loop systems. Lastly, the feasibility of the proposed control method is proved by giving two examples.

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Section: Introductionmentioning

confidence: 99%

Observer-based adaptive neural network backstepping sliding mode control for switched fractional order uncertain nonlinear systems with unmeasured states

Chen

Cao

Yuan

et al. 2021

Measurement and Control

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“…3 Hence, complicated control schemes are needed to cope with non-modeled system/actuator dynamics and non-measurable disturbances; for example, fuzzy logic control, 8,9,10 feedback and feed-forward proportional integral derivative (PID) control, 11,12,13 and adaptive control. 14,15,16 Additional control schemes include active disturbance rejection control, 17,18,19 internal model control 20,21 and intelligent control. 22,23 However, the complexity of these solutions significantly increases the computational burden and makes them unsuitable for practical applications.…”

Section: Introductionmentioning

confidence: 99%

A robust energy processing method for fuel cell systems supplying a time‐varying uncertain load

Ramírez

2022

Intl J of Energy Research

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Summary Robustness and performance are key properties that can contribute to the widespread dissemination of fuel cell systems (FCSs) as power sources, and a precise output voltage can serve as a reliable criterion to evaluate these properties. In this paper, we propose to utilize intentional time delays as part of controllers to achieve proper output voltage regulation in an FCS. In the past few years, there has been a growing interest toward designing controllers with intentional delays to render improved responses and better noise attenuation capabilities in various classes of systems and this investigation extends the use of delay‐based controllers to the application field of FCSs. A natural progression of this research, which to our knowledge has not been addressed, pertains to how such controllers perform in the presence of uncertainties, and whether or not these controllers can accommodate these uncertainties. In this research work, we present a solution to this open problem on a class of proportional integral retarded (PIR) controllers when controlling an FCS supplying a time‐varying uncertain load. Through stability theory, the safe operation of the PIR controlled FCS is systematically guaranteed in spite of uncertain loads and input voltages. Specifically, based on Lyapunov methods and L2‐gain analysis, we derive simple stability conditions to achieve robustness and H∞ performance. We show that utilizing only output voltage measurements the PIR controller can maintain the predictive features of a pure differentiator, but without its inherent noise amplification problems. Hence, low‐pass filtering of signals or reconstruction of the states can be obviated. Compared with published control schemes for FCSs, the PIR controller is structurally simpler and practically realizable, and it is able to maintain robustness against uncertain loads and H∞ performance under exogenous signals without relying on disturbance estimators. Numerical simulations confirm the superiority of the PIR controller over benchmark proportional integral and proportional integral derivative controllers in terms of robustness, performance and noise attenuation capabilities.

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“…Stability, robustness against parameter variations and acceptable performance indicators were the improvements. In (Jain et al, 2020) a fractional-order internal model controller was suggested. The control strategy is the combination of a PID controller and a non-integer order low pass filter.…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of Voltage Regulation in Buck Converters through Fractional-Order PID Approximation

Soto-Vega

Soriano-Sánchez

2021

IJONEST

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Viability of a fractional-order PID approximation regulating voltage in buck converters through a single control loop is investigated. Fractional calculus approach is suggested due to it exhibits good robustness against parameter variations. The non-integer approach is integrated in the control strategy through a Laplacian operator biquadratic approximation to generate a flat phase curve in the system closed-loop frequency response, which results in the generation of the iso-damping characteristic. The synthesis and tuning process consider both robustness and closed-loop requirements to ensure a fast and stable regulation characteristic. Experimental data obtained with the resulting controller, which was easy implemented through RC circuits and OPAMPs in adder configuration, confirmed its effectiveness. Superiority of proposed approach, which is determined through a comparison with typical PID controllers, confirms its viability to be used in highly efficient converters, such as Silicon-Carbide ones.

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Experimental validation of fractional order internal model controller design on buck and boost converter

Cited by 7 publications

References 36 publications

Observer-based adaptive neural network backstepping sliding mode control for switched fractional order uncertain nonlinear systems with unmeasured states

Observer-based adaptive neural network backstepping sliding mode control for switched fractional order uncertain nonlinear systems with unmeasured states

A robust energy processing method for fuel cell systems supplying a time‐varying uncertain load

Experimental Validation of Voltage Regulation in Buck Converters through Fractional-Order PID Approximation

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