Sensitivity study of the control loops of DC-DC converters by means of robust parametric control theory

Garcerá, G.; Abellan, A.; Figueres, E.

doi:10.1109/tie.2002.1005383

Cited by 15 publications

(4 citation statements)

References 9 publications

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“…Since the SMPSs controller's performance influences the operating range, stability, and efficiency of the system, the use of sophisticated control algorithms is essential [1]- [3]. Due to component tolerances, the controller has to be designed to cover a wide range of parameter values [4]. Additionally, in many industrial applications various sets of external components, i.e., different inductor and capacitor configurations, have to be supported.…”

Section: Introductionmentioning

confidence: 99%

on-Time Mismatch Based System Identification Technique for Buck Converters

Gietler

Kanzian

Unterrieder

et al. 2020

IEEE Trans. Ind. Electron.

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This article introduces a fast and lowcomplexity natural frequency estimation concept for power converters, enabling their adaptive control. Neither a highresolution analog-to-digital converter nor complex arithmetic operations, such as multiplications, are required by the proposed approach. Instead, the mismatch between the ON-time of the control signal and the effective ON-time at the switching node, occurring under light load conditions, is exploited. This mismatch is caused by the parasitic drainsource capacitance and the parasitic body diode of the power MOSFETs. It is not necessary that the value of the parasitic capacitance is known nor is it required to stay constant, e.g., over temperature. Due to its simplicity, the proposed method is well-suited for practical on-chip realizations. The introduced concept is experimentally verified on the example of a buck converter with different output filter sets. A digital controller is adaptively tuned based on the estimated natural frequency, resulting in an improved dynamic performance. For the presented converter, the magnitude of the output voltage transient in response to a load change was reduced by 30%.

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Section: Introductionmentioning

confidence: 99%

on-Time Mismatch Based System Identification Technique for Buck Converters

Gietler

Kanzian

Unterrieder

et al. 2020

IEEE Trans. Ind. Electron.

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“…From the control point of view, nearly all the power conversion systems are regarded as a tracking problem because the output quantity should follow the reference command with a fast transient behavior and a low steady-state error. Most of these systems are inherently time varying, uncertain [5], [6], have a non-minimum phase, and are non-linear with some possible complex behavior like chaos [7], [8]. The most popular method for modeling DC-DC converters is state space averaging.…”

Section: Introductionmentioning

confidence: 99%

“…However, these solutions overcome the model uncertainties of the converters [5], [6]. Another design difficulty based on the LTI model is that the calculated LTI model depends on the operating point of the converter.…”

Section: Introductionmentioning

confidence: 99%

Optimum Design of Integer and Fractional-Order PID Controllers for Boost Converter Using SPEA Look-up Tables

Amirahmadi¹,

Rafiei²,

Tehrani³

et al. 2015

Journal of Power Electronics

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This paper presents a method of designing optimal integer-and fractional-order proportional-integral-derivative (FOPID) controllers for a boost converter to gain a set of favorable characteristics at various operating points. A Pareto-based multi-objective optimization approach called strength Pareto evolutionary algorithm (SPEA) is used to obtain fast and low overshoot start-up and dynamic responses and switching stability. The optimization approach generates a set of optimal gains called Pareto set, which corresponds to a Pareto front. The Pareto front is a set of optimal results for objective functions. These results provide designers with a trade-off look-up table, in which they can easily choose any of the optimal gains based on design requirements. The SPEA also overcomes the difficulties of tuning the FOPID controller, which is an extension to the classic integer-order PID controllers and potentially promises better results. The proposed optimized FOPID controller provides an excellent start-up response and the desired dynamic response. This paper presents a detailed comparison of the optimum integer-and the fractional-order PID controllers. Extensive simulation and experimental results prove the superiority of the proposed design methodology to achieve a wide set of desired technical goals.

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“…For these devices the control goals are to maximize the bandwidth of the closed-loop system in order to reject disturbances, and to retain a constant regulation of the output voltage as well as minimizing output overshoot by satisfying transient characteristics [2]. Taking into account the uncertainty of parameters and nonlinearities, the research on robust control methods for converter models is a progressive field of research till now [3]- [7]. As reported in the literature, different control schemes have been developed for dc-dc converters, for the digital signal processor (DSP) chip or in a microcontroller, including feed forward control, adaptive fuzzy, fuzzy logic and nonlinear proportional integral derivative (PID) [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Scenario based approach for control design for DC-DC Buck Converter

Qamar

Awan

Khan

et al. 2015

2015 International Conference on Control, Automation and Robotics

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The article presents the application of a probabilistic robust control scheme for DC-DC Buck Converter, on the basis of the idea of randomly selected scenarios from an uncertain set. This technique involves the analysis of a wide range of control system analysis and design problems for uncertain systems which are amenable to solve the numerical problems in efficient way if the requirements regarding robustness are imposed in probabilistic sense within the paradigm. The output voltage of the converter can be affected by changes in load current. This variation in load appears as a linear uncertain parameter, with a known range, in the dynamic model of the converter. Maintaining the output voltage to the desired value in the presence of load variations is formulated as an LPV H-infinity optimization problem. However, instead of covering the entire uncertainty set using the conventional polytopic approach, we use the scenario based approach to extract the scenarios by explicitly and providing the bound on the number of scenarios, resulting in a design to guarantee an a-priori particular probabilistic robustness in design of control problem for DC-DC Buck Converter. This results in a marginal improvement in transient performance, with regard to overshoot and settling time, of the closed loop system. Numerical simulations are performed to demonstrate the above, and a comparison with the LPV polytopic approach and linear PID control is presented.

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Sensitivity study of the control loops of DC-DC converters by means of robust parametric control theory

Cited by 15 publications

References 9 publications

on-Time Mismatch Based System Identification Technique for Buck Converters

on-Time Mismatch Based System Identification Technique for Buck Converters

Optimum Design of Integer and Fractional-Order PID Controllers for Boost Converter Using SPEA Look-up Tables

Scenario based approach for control design for DC-DC Buck Converter

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