Adaptive Passivity Based Control of DC-DC Power Electronic Converters

In this article, we propose a PI passivity-based controller, applicable to a large class of switched power converters, that ensures global state regulation to a desired equilibrium point. A solution to this problem requires full state-feedback, which makes it practically unfeasible. To overcome this limitation we construct a state observer that is implementable with measurements that are available in practical applications. The observer reconstructs the state in finite-time, ensuring global convergence of the PI. An adaptive version of the observer, where some parameters of the converter are estimated, is also proposed. The excitation requirement for the observer is very weak and is satisfied in normal operation of the converters. Realistic simulation results illustrate the excellent performance and robustness vis-à-vis noise and parameter uncertainty of the proposed output-feedback PI.

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“…We consider in this article switched power converters, with switched external sources, described in port-Hamiltonian (pH) form 14,21,36 ̇x =…”

Section: The Pi-pbc and The Observer Problem Formulationmentioning

confidence: 99%

“…In the proof of Proposition 2, it was shown that the state transition matrix converges, exponentially fast, to zero, see (21). Consequently, the simplest way to reconstruct the system state is by setting x = 𝜉, which from ( 16) and ( 21) has the property that x(t) → x(t), (exp).…”

Section: An Open-loop Emulatormentioning

confidence: 99%

A globally stable practically implementable PI passivity‐based controller for switched power converters

Bobtsov

Nikolaev

2021

Adaptive Control & Signal

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“…This kind of controllers has advantages such as providing good results in a steady state in dealing with parametric uncertainties. 9,10 However, this method has a complex theory and also cannot cope with huge parameter values changes in a short time. 11 Moreover, the use of this method to improve the transient state is highly dependent on the defined reference model.…”

Section: Introductionmentioning

confidence: 99%

“…One of the most popular conventional methods to control boost converters is adaptive‐based controllers. This kind of controllers has advantages such as providing good results in a steady state in dealing with parametric uncertainties 9,10 . However, this method has a complex theory and also cannot cope with huge parameter values changes in a short time 11 .…”

Section: Introductionmentioning

confidence: 99%

Nonlinear robust‐optimal control of boost converter in photovoltaic applications

Amirparast

Gholizade‐Narm

2020

Adv Control Appl

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The negative aspects of overusing fossil fuels for producing electricity attract the attention of engineers society to use renewable energies. Power electronic converters play an important role in the transmission and usage of renewable energy in the industry. Boost converters are a major part of devices in which convert renewable energies into usable energy for various industries or appliances. In this article, to control a boost converter with parametric uncertainty, a new robust‐optimal controller is designed. The proposed control method is designed based on merging two conventional control theory: the robust control theory and linear quadratic regulator technique. This method consists of two nested loops. The inner loop composed of a state feedback controller which works as active damping to improve the transient state. The outer loop consists of a PI controller to track the desired voltage and reject disturbance. The coefficients of both controllers are computed by a robust‐optimal control technique. To evaluate the proposed control method, a well‐tuned single‐loop PI controller and a quantitative feedback theory based PID controller are compared with the proposed method. As shown by simulations, the proposed method has a more reliable performance in dealing with parameters uncertainties such as load changes and input voltage drops.

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